Face It: the Impact of Gender on Social Media Images Essay

Social websites like Facebook enable users to upload self-created digital images; it is therefore of interest to see how gender is performed in this domain. A panel used a literature review of pictorial features associated with gender traits, and a sample of Facebook pictures to assess gender stereotypes present in Facebook images. Traits emerging in greater prominence in pictures of males included active, dominant, and independent. Those prominent with female users included attractive and dependent. These findings generally conform to gender stereotypes found in prior research and extend the research regarding stereotypical gender traits displayed in professional media depictions to self-selected social media displays. They also extend the research on gender differences in impression management generally, in both interpersonal communication and social media, to include gender-specific traits that are part of young mens and women’s impression management. Keywords: Facebook; Ge nder Display; Impression Management; Role Theory; Social Media Jessica Rose (B.A., Villanova University, 2011) is a marketing and communications professional in the Greater Philadelphia Area. Susan Mackey-Kallis (Ph.D., Penn State University, 1986) is an associate professor in the Department of Communication at Villanova University. Len Shyles (Ph.D., Ohio State University, 1981) is an associate professor in the Department of Communication at Villanova University. Kelly Barry (B.A., Villanova University, 2011) is a marketing and communications professional in the Greater New York area. Danielle Biagini (B.A., Villanova University, 2011) is a marketing and communications professional in the Greater San Diego area. Colleen Hart (B.A., Villanova University, 2011) is a student at the University of North Carolina School of Law. Lauren Jack (B.A., Villanova University, 2011) is a marketing and communications professional in the Greater New York area. The authors would like to thank Dr. Jesse Frey of the Mathematics Department of Villanova University f or his help in creating the tables presented in this article. Correspondence: Susan Mackey-Kallis, Department of Communication, 800 E. Lancaster Avenue, Villanova, PA 19085; E-mail: susan.mackey-kallis@villanova.edu ISSN 0146-3373 print/1746-4102 online # 2012 Eastern Communication Association DOI: 10.1080/01463373.2012.725005 The centrality of gender embodiment has animated recent debates in media studies about the relationship among gender representations in media, gendered bodies in virtual space, and gender as performance. With the emergence of social media websites, such as Twitter, Facebook, and MySpace, users have an online platform that allows them to communicate widely, to virtually manage others’ impressions of them, and to even express gendered identities in cyberspace. With over 500 million active users as of 2011 (http://www.facebook.com/press/info.php?statistics), Facebook dominates the social media market. Offering a highly interactive platform, Facebook users can leave comments on their friends’ walls, provide status updates and photos, and can even access one another wirelessly through Facebook Mobile. As of 2010, users spent over 700 billion minutes per month on Facebook (http://www.facebook.com/ press/info.php?statistics), often updating their Facebook profiles to add relat ionships to their friends lists. One well-known feature of Facebook is the user’s profile picture, displayed in the upper left-hand corner of each user’s homepage. Intended to be the first thing seen, it is arguably one of the most important features of the user’s Facebook page. The profile picture offers friends, acquaintances and even potential employers a firstimpression of the user’s appearance and, perhaps, their character. Therefore, the content of users’ Facebook profile pictures is an important object of study for researchers interested in how people practice impression management. According to role theory, people follow unwritten social and cultural rules and norms as they behave ‘‘in ways that are different and predictable depending on their respective social identities and the situations they find themselves in’’ (Biddle, 1986, p. 68). Gender identity and gender roles are a significant part of everyday life and, according to Goffman, are actually constituted through social interaction (1976). Gender shapes how people make sense of themselves and their social relationships. However, as Wood notes, ‘‘What gender means depends heavily on cultural values and practices; a culture’s definitions of masculinity and femininity shape expectations about how individual men and women should communicate; and how individuals communicate establishes gender that, in turn, influences cultural views’’ (Wood, 2009, p. 20). Gender display, as a continuous communication loop, is defined by society and expressed by individuals as they interact while shaping evolving societal expectations regarding gender. In contemporary media and culture, women’s and men’s social desirability and gender have often been defined in terms of their bodies. For women, this has often involved comparing themselves to and even replicating the ‘‘thin ideal’’ (presented in modern mass media despite the looming specter of anorexia and bulimia), altering their bodies to heighten perceived sexuality or youthfulness (through cosmetic surgery, exercise or eating), or conforming to traditional definitions of femininity including qualities such as submissiveness or sentimentality (through dress, cosmetics, style, etc.). For men, gender-based definitions of success frequently revolve around presenting or developing their bodies as strong, youthful, active, and physically dominant. The evolution of social media (such as Facebook) and online digital gaming environments (such as massive, multiple online games [MMOs]) now offer venues where individuals can consciously self-select an d present virtual versions of themselves that can either conform with, challenge, or defy societal expectations and media presentations. Digital formats, on the one hand, represent exciting possibilities for individuals who can explore the freedom of presenting a physical self that might differ from the one they present or perform in everyday life or from socially-defined expectations. As Rettberg argues, ‘‘our fascination with creating digital self-portraits is indicative of our collective coming of age where we as a culture are discovering that we have voices online and can express ourselves rather than simply accepting the mass media’s views of the world’’ (2009, p. 453). On the other hand, digital formats may simply offer a chance to replicate cultural and mass media normative versions of the individual, specifically as they relate to gender. Since how people present and perform their bodies in virtual spaces offer specific impressions, many of which relate to gender, one objective of the current study is to examine how gender portrayals manifest themselves in self-selected social media displays. Specifically, can social media website content help us understand more about gender roles and the way people present themselves in the virtual social world? Do the ways they manage their images reinforce existing gendered stereotypes? Because social networks such as Facebook are relatively recent phenomena, the content of self-presentation profile pictures has not been analyzed in great depth. Extant literature supports the idea of expected gender roles unique to males and females (Goffman, 1976; Lauzen, Dozier, & Horan, 2008; Wanta & Legett, 1989; Williams & Best, 1990) and the idea that society advocates these roles through various media (Bell & Milic, 2002; Hancock & Toma, 2009), with both males and females engaging in impression management in order to control their public image (Dominick, 1999; Jones, 1997; Leary, 1996). Witmer and Katzman (1997) argued that females may display more emotional graphics than males while communicating on the Internet. Extant literature, however, only reveals one study that has examined gender differences in self-selected portraits in self-posed photographs (Mills, 1984) and one study that has examined gender differences in Facebook profile pictures (Strano, 2008). Strano’s study, focusing exclusively on gender difference in impression management, found that women engage in management more than men (Strano, 2008). In a related area of literature, self-presentation in computer-mediated communication (CMC), some studies suggest a great deal of ‘‘gender-swapping’’ on the Internet (Bruckman, 1993; Roberts & Parks, 1999; Witmer & Katzman, 1997) with some estimates as high as 60% (Roberts & Parks, 1999), and with males ‘‘gender-swapping’’ more than females (Bruckman, 1993; Suler, 1999). The fantastical and fantasy-based nature of many gaming environments, however, and the anonymous nature of most CMC in general might suggest that the freedom to reinvent oneself not only in terms of gender but also race, ethnicity, and other variables is much broader than in Facebook profile pictures. Facebook friends, who may know the person in real life, recognize a photograph as a self-selected presentation but, researchers argue, most likely do not assume that the profile picture reflects extensive alteration or photo retouching. The current study, therefore, makes a unique contribution by investigating whether self-selected Facebook profile pictures exhibit stereotypical gender roles consistent with traits emerging from existing research. Literature Review Gender Roles Some researchers suggest that gender differences result from a variety of factors including socialization and biology; as such, gender roles are often manifested through communication and culture (Goffman, 1976; Lauzen et al., 2008; Wanta & Legett, 1989; Williams & Best, 1990; Wood, 2009). West and Zimmerman (1987) claim gendering is a routine interaction of everyday life. ‘‘Both gender role and gender display focus on behavioral aspects of being a man and a woman’’ (p. 127). They use Goffman’s (1976) account of ‘‘gender display’’ to suggest gender is also constituted through interaction. Says Goffman, ‘‘If gender [can] be defined as the culturally established correlates of sex (whether in consequence of biology or learning), then gender display refers to conventionalized portrayals of these correlates’’ (1976, p. 69). Goffman cites sports as a framework to explain masc uline tendencies, asserting that the male gender is categorically viewed as aggressive, strong, and competitive. In agreement, West and Zimmerman (1987) assert that ‘‘Doing gender is unavoidable . . . because of the social consequences of sex-category membership: [this includes] the allocation of power and resources not only in the domestic, economic, and political domains but also in the broad arena of interpersonal relations’’ (p. 145). As men and women tend to assume ‘‘proper’’ societal gender roles, associated behaviors are viewed as cultural markers that indicate norms of social interaction. Williams and Best (1990) searched for gender stereotypes among respondents from 25 nations worldwide. Participants were presented with a list of 300 character traits and instructed to indicate whether the trait was ‘‘more frequently associated with men than with women,’’ ‘‘more frequently associated with women than with men,’’ or ‘‘not differentially associated with the two sexes.’’ Table 1 presents results for the traits most commonly associated with men and women and indicates the traits isolated for this analysis. Gender Roles in the Media Society often promotes gender role markers as social norms through photographs and other visual displays used in advertising. Wanta and Legett (1989) studied the media images of male a nd female athletes of the 1987 Wimbledon Tennis Tournament, concluding that men and women were depicted differently in terms of emotion, dominance, and power. Goffman (1976) accounts for these traits in his research of magazine and newspaper photography, finding women to be pictured in more submissive positions while men are depicted in more elevated positions. Based on Goffman’s inquiries, Wanta and Legett (1989) hypothesized that female tennis players would be shown more often in positions implying helplessness than male tennis players. Goffman’s (1976) studies of power within photographs asserted that the more dominant a person’s face was (i.e., the more full-front, direct-to-camera orientation of the face, and the greater the percentage of photo space taken up by the face), the more power was held and=or portrayed by the person pictured. Wanta and Legett used these ideas to predict that the photographs of female tennis players would focus more on the players’ bodies, while male tennis players would have more concentrated images of their faces. However, the majority of Wanta and Legett’s (1989) hypothe ses remained unsubstantiated; their gender stereotypes were not confirmed. In fact, opposite portrayals often emerged. They concluded that the photographer was trying to break gender stereotypes. In contrast to the work of Wanta and Legett, the research conducted in the current study does not rely on images shot by professional photographers. Rather, the present analysis is based on self-selected and, almost exclusively, self-created Facebook profile pictures. Gender roles, present in everyday interaction, are also enacted on television. Lauzen and colleagues (2008) examined gender roles enacted by men and women on television. Using a stratified random sample of 124 prime-time television series airing on six broadcast networks during the 2005–06 seasons, they looked at the rates at which men and women fell into categorically different social roles. Taking a category scheme developed by earlier research, Lauzen and colleagues defined social roles as the things ‘‘people do in daily life’’ (see Eagly & Steffan, 1984, p. 735). These roles vary from childcare and household chores to workplace activities. Through a content analysis, they found male characters on prime-time television were more likely to inhabit work roles, including blue collar, white collar, and extracurricular activities, while women were portrayed in more interpersonal roles involving romance, friendship, and family. Similarly, in their content analysis of 827 Australian magazine advertisements from 1997–98 to determine the presence of stereotypical gender roles, Bell and Milic (2002) concluded that ‘‘Males were more frequently shown in ‘narrative’ ways (as actors) than females, and this is true of both groups and individuals. Women were more likely than men to ‘behave’ (or to express emotion)’’ (p. 215). Their findings suggest stereotypical gender traits of men and women consistent with those of Williams and Best (1990) and consistent with Goffman’s (1976) analysis of advertising which found that women were ‘‘more likely to be portrayed performing submissive or appeasing gestures such as head or body canting, bending one knee inward (‘bashful knee-bend’), smiling, clowning, and acting less seriously’’ and were ‘‘often portrayed as being under the physical care and protection of a man’’ (as cited in Bell and Milic, 2002, p. 205). Ragan (1982) analyzed gender differences in 1,296 portrait photos from high school and university yearbooks, concluding there are gender differences; females smiled more than males, smiled more expansively than males, tilted their heads at greater angles than males, faced the camera less directly than males, and wore glasses less frequently than males. While this research identifies gender differences, it was limited by an influential factor: Photographers posed the subjects (Ragan, 1982). In hopes of accounting for this limitation, Mills (1984) conducted a study in which 34 men and 34 women were asked to present themselves as typical college students in pictures. Mills’ findings reinforced the suggestion that females smile more, and smile more expansively, than males. Gender stereotypes also abound in video games. Female characters are represented as highly sexualized while male characters possess exaggerated strength, are hypermasculine, aggressive, and, with the exception of showing hostility, lack emotion. They are also less likely to display helping or nurturing qualities (Robinson, Callister, Clark, & Phillips, 2008). One study found that the central role for male characters was ‘‘competitor’’ while females’ central roles were ‘‘victim,’’ ‘‘damsel in distress,’’ or ‘‘evil obstacle’’ for the hero to overcome (Heintz-Knowles et al., 2001). The findings of these video game content analyses have remained fairly consistent over time and have also been shown to be perceived by audiences (Robinson et al., 2008). Based on the work from several decades of research on gender roles from the fields of advertising, television, photography, digital gaming studies, and cultural studies, it is apparent that masculinity often implies strength, ambition, and independence, whereas femininity implies physical attractiveness, reverence, and sentimentality (Wood, 2009). The rapid growth of digital media invites researchers interested in the cultural impact of gender to investigate this alternative outlet for self-presentation. This study provides a natural extension of such work in investigation of gender differences in self-selected Facebook profile pictures. Self-Presentation Goffman (1959) argued that individuals were concerned with self-presentation during all social encounters. This is because, among other reasons, impressions impact the opinions of others regardless of an individual’s intentions. Burr (2002) claims J. Rose et al. The other people making up our audience can, by their own conduct, either legitimate or reject our claim to be a certain kind of person, and Goffman (1959) argues that this is done by carefully monitoring the match or mismatch between what we ‘give’ (the things we say or do to create an impression) and what we ‘give off’ (the body language, our general demeanor—the communicative aspects of our conduct that are harder for us to control and manipulate). The creation and maintenance of impressions is therefore a two-way street (2002, p. 73). Hence, for Goffman (1959), the ‘‘presentation of self in everyday life’’ and the roles maintained are pertinent to everyday interaction. People constantly play characters to avoid embarrassment and to ‘‘fit-in’’ with social norms. Gender role, then, focuses on the collectivity of logical, behavioral, cognitive, and emotional responses to social situations (Burr, 2002). Most self-presentation studies have examined the concept only in face-to-face communication (Goffman, 1959; Leary 1996). Recent studies (Oh, 2004; Cho, 2006) about self-presentation in personal websites analyze only the styles and not gender display specifically. Similar to face-to-face contexts, individuals do make choices about gender-related impressions over the Internet. A number of studies, for example, have demonstrated extensive ‘‘gender-swapping’’ in ‘‘avatar’’ creation for online gaming and in text-based CMC (Bruckman, 1993; Roberts & Parks, 1999; Suler, 1999). In these virtual environments, physical identity markers are not apparent and, as a result, the self is more fluid and changeable (Gergen, 1991) and offers increased opportunities for strategic self-presentation (Walther, 1993; Walther, Anderson, & Park, 1994). Gender is often one of the variables that communicators can consciously shape in these mediated environments (Roberts & Parks, 1999; Bruckman, 1993; Wilbur, 1996). Some researchers have gone so far as to argue that the computer-mediated environment is a gender-bending world (Witmer & Katzman, 1997). Modern gaming environments, in particular, allow gamers to design or choose ‘‘avatars,’’ their virtual self in the gaming world, that possess a variety of differing characteristics such as height, weight, age, gender, dress, and profession. In these environments, the avatar becomes ‘‘inextricably linked to their performance of self and engagement in [a virtual] community’’ (Taylor , 1999, p. 438). Despite the above cited studies of ‘‘gender-swapping’’ and self-presentation in CMC, no researchers have examined the extent to which social media users ascribe to gender stereotypes in their presentation of self on the Internet. Samp, Wittenberg, and Gillett (2003) examined the extent to which ‘‘gender schematic’’ individuals (individuals with either strong masculine or feminine gender orientations versus androgynous orientations) and individuals who were high (versus low) self-monitoring engaged in gender-swapping on the Internet. The researchers in this study used self-report data from Internet users about their online gender-swapping behavior generally. The researchers in the current study, by contrast, provide a content analysis of actual Facebook profile pictures in terms of the presence or absence of gender stereotypes and do not focus on gender swapping. Hancock and Toma’s 2009 study of profile pictures on online dating websites created and posted with the intention of creating relationships comes closest to the focus of the current study. In line with Goffman’s (1959) suggestion that self-presentation is the process of packaging and editing the self in order to create a certain impression for an audience, Hancock and Toma (2009) examined the impact of gender on self-presentation and social desirability. They found that both women and men ‘‘edit’’ their profiles to create a better self-presentation through self-enhancement (Hancock & Toma, 2009). Some participate in ‘‘selective self-presentation,’’ an even more controlled act of impression management in which imag es are changed or distorted, often leading to further inaccuracy portrayed by the profile (Hancock & Toma, 2009). Having the ability to ‘‘select’’ or specifically change or display particular points of interest, the users can greatly affect the impression made of them (Hancock & Toma, 2009). Both men and women on the online dating social network use ‘‘selective self-presentation’’ to their advantage to give the impression of being more desirable to their audiences. Hancock and Toma (2009) suggest men and women can control their self-presentation through social networks (i.e., online dating sites). Such sites comprise one segment of social networks; Facebook is another. Realizing stereotypical gender roles are present in society, Dominick (1999) studied how men and women presented themselves on personal homepages. Dominick (1999) coded 500 randomly sampled personal homepages based on demographic and personal information, creative expressions, and photographs. He used Jones’ (1997) five strategies of image construction: ingratiation (state ments of modesty, familiarity, and humor); competence (statements of abilities and achievements); intimidation (statements of anger and unpleasantness); exemplification (acts of moral superiority); and supplication (images of helplessness, while acting self-deprecating; Dominick, 1999). He concluded that females released more information than males while both males and females were equally likely to have photographs on their pages. Women’s photographs tended to be more sentimental in nature, while men’s more often were ‘‘joke images’’ and images that made them seem more competent and capable. He concluded that ‘‘A personal web page can be viewed as a carefully constructed selfpresentation’’ (Dominick, 1999, p. 647). Dominick asserted that the concept of impression construction exposes the different strategies men and women use to present themselves through images and information to gain a higher level of likeability, respect, and power in society (1999). Jones (1997) noted that individuals strive to be liked and accepted, resulting in social rewards such as friendship, social support, companionship, romance, and social status. Because smiling is associated with being liked and competent, Jones (1997) correlates gestures with the ingratiation and competence strategies of image construction. As Facebook was not founded until 2004, Dominick’s (1999) study is expanded upon in this study (http://www.facebook.com/press/info.php?factsheet). Buffardi and Campbell (2008) studied whether photographs from a variety of social networks are self-promoting. They state, ‘‘Self-promoting connoted persuading others about one’s own positive traits’’ (p. 1307) and define physical attractiveness as the degree to which an individual appears self-promoting and vain in a photograph. While not examining gender differences in self-promotion per se, the researchers did examine ‘‘how sexy and modest . . . the individual in the main photo appeared to be’’ (Buffardi & Campbell, 2008, p. 1307).

Demand Forecasting and Production Planning

ScienceAsia 27 (2001) : 271-278 Demand Forecasting and Production Planning for Highly Seasonal Demand Situations: Case Study of a Pressure Container Factory Pisal Yenradeea,*, Anulark Pinnoib and Amnaj Charoenthavornyingb a Industrial Engineering Program, Sirindhorn International Institute of Technology, Thammasat University, Patumtani 12121, Thailand. b Industrial Systems Engineering Program, School of Advanced Technologies, Asian Institute of Technology, P. O. Box 4, Klong Luang, Patumtani 12120, Thailand. * Corresponding author, E-mail: [email  protected] tu. ac. th Received 24 May 2001 Accepted 27 Jul 2001 ABSTRACT This paper addresses demand forecasting and production planning for a pressure container factory in Thailand, where the demand patterns of individual product groups are highly seasonal. Three forecasting models, namely, Winter’s, decomposition, and Auto-Regressive Integrated Moving Average (ARIMA), are applied to forecast the product demands. The results are compared with those obtained by subjective and intuitive judgements (which is the current practice). It is found that the decomposition and ARIMA models provide lower forecast errors in all product groups. As a result, the safety stock calculated based on the errors of these two models is considerably less than that of the current practice. The forecasted demand and safety stock are subsequently used as inputs to determine the production plan that minimizes the total overtime and inventory holding costs based on a fixed workforce level and an available overtime. The production planning problem is formulated as a linear programming model whose decision variables include production quantities, inventory levels, and overtime requirements. The results reveal that the total costs could be reduced by 13. % when appropriate forecasting models are applied in place of the current practice. KEYWORDS: demand forecasting, highly seasonal demand, ARIMA method, production planning, linear programming, pressure container factory. INTRODUCTION Most manufacturing companies in developing countries determine product demand forecasts and production plans using subjective and intuitive judgments. This may be one factor that leads to production inefficiency. An accuracy of the demand forecast significantly affects safety stock and inventory levels, inventory holding costs, and customer service levels. When the demand is highly seasonal, it is unlikely that an accurate forecast can be obtained without the use of an appropriate forecasting model. The demand forecast is one among several critical inputs of a production planning process. When the forecast is inaccurate, the obtained production plan will be unreliable, and may result in over- or understock problems. To avoid them, a suitable amount of safety stock must be provided, which requires additional investment in inventory and results in an increased inventory holding costs. In order to solve the above-mentioned problems, systematic demand forecasting and production planning methods are proposed in this paper. A case study of a pressure container factory in Thailand is presented to demonstrate how the methods can be developed and implemented. This study illustrates that an improvement of demand forecasts and a reduction of total production costs can be achieved when the systematic demand forecasting and production planning methods are applied. The demand forecasting and production planning methods are proposed in the next section. The background of the case study, including, products, production process, and the forecasting and production planning procedures being used in the factory, are briefly described in Section 3. The detailed analyses of the forecasting methods and the production planning method are explained in Section 4 and Section 5, respectively. Finally, the discussion and conclusion are presented in Section 6. 272 ScienceAsia 27 (2001) P ROPOSED D EMAND F ORECASTING PRODUCTION PLANNING METHODS AND The proposed demand forecasting and production planning methods are depicted in a step-by-step fashion in Fig. . Most factories produce a variety of products that can be categorized into product groups or families. Individual products in the same product group generally have some common characteristics. For example, they may have the same demand pattern and a relatively stable product mix. As a result, it is possible to forecast the aggregate demand of the product group first, and then disaggregate it in to the demand of individual products. Since the forecast of the aggregate demand is more accurate than that of the individual demand1, it is initially determined in Step 1. Then the demands of individual products are determined in Step 2 by multiplying the aggregate demand with the corresponding product mix that is normally known and quite constant. Since the demand forecasts are always subject to forecast errors, safety stocks are provided to avoid stock-out problems. Based on the standard deviation of the forecast errors and the required service level, the safety stocks for individual products are determined in Step 3. Production planning decisions are so complicated and important that they should not be subjectively and intuitively made. Consequently, an appropriate production planning model should be formulated to determine the optimal decisions. With this model, its parameters, eg, demand forecasts, safety stocks, holding cost, overtime cost, machine capacity, inventory capacity, and available regular time and overtime, are entered or updated (Step 4). In step 5, the optimal decisions regarding the production quantities, inventory levels, and regular production time and overtime for each product in each production stage are obtained by solving the production planning model. Step 6 indicates that only the optimal production plan of the current month will be implemented. After one month has elapsed, the demand forecasts and the production plan will be revised (by repeating Steps 1 to 5) according to a rolling horizon concept. BACKGROUND OF THE CASE STUDY The pressure container factory manufactures 15 products, ranging from 1. 25 to 50 kg of the capacity of pressurized gas. The products are divided into eight product groups, namely, Group 1 to Group 8. The first six groups have only two components, â€Å"head† and â€Å"bottom†, while the last two groups have three components, â€Å"head†, â€Å"bottom†, and â€Å"body†. The production process can be divided into five stages as shown in Fig. 2. Stage 3 is only required to produce the products having three components (ie, those in Groups 7 and 8). Stage 4, the circumference welding, is found to be a bottleneck stage due to its long processing time. Presently monthly demand forecasts are subjectively determined by the Marketing Department based on past sales and expected future market conditions. No systematic method is used in forecasting. Using these forecasts and other constraints, such as availability of raw materials, equipment, and production capacity, the monthly production plan for a three-month period is intuitively determined without considering any cost factor. This results in inaccurate demand forecasts and, subsequently, an inefficient production plan. Stage 1 Blanking 1) Forecast the monthly demands of each product group throughout the planning horizon of 12 months 2) Determine the demand for each individual product 3) Determine the safety stock for each individual product Stage 2 Forming of bottom and head Stage 3 Forming of body 4) Update the parameters in the production planning model Stage 4 Circumference welding 5) Run the planning model to obtain the optimal planning dicisions ) Roll the plan by repeating Steps 1 to 5 after one month has elapsed Stage 5 Finishing Fig 1. Proposed forecasting and planning steps. Fig 2. The production process to manufacture a pressure container. ScienceAsia 27 (2001) 273 FORECASTING METHODS Steps 1, 2, and 3 of the proposed forecasting and planning process are discussed in detail in this section. Firstly, the aggregate demand forecasts of eight product groups throughout the planning horizon of 12 mont hs will be determined. Secondly, the demand forecasts of the product groups will be disaggregated into those of individual product. Thirdly, the safety stocks of individual product will be calculated based on the forecast error. Aggregate Demand Forecasts of Product Groups The typical demand pattern of each product group is seasonal. As an example, Fig. 3 shows the demand pattern of Product Group 3. Thus, three forecasting models that are suitable for making seasonal demand forecasts are considered. They are Winter’s, decomposition and Auto-Regressive Integrated Moving Average (ARIMA) models. 2-5 Because of their simplicity, the Winter’s and decomposition models are initially used to forecast the aggregate demand of each product group. If the Winter’s and decomposition models are inadequate (ie, the forecast errors are not random), the ARIMA model which is more complicated and perhaps more efficient will be applied. The Winter’s model has three smoothing parameters that significantly affect the accuracy of the forecasts. These parameters are varied at many levels using a computer program to determine a set of parameters that give the least forecast errors. There are two types of the decomposition model, namely, multiplicative and additive types. The former is selected since the demand pattern shows that the trend and seasonal components are dependent. The forecast errors of the Winter’s and decomposition models are presented in Table 1. Based on the calculated mean square error (MSE) and the mean absolute percentage error (MAPE), it is seen that the decomposition model has lower Original Series (x 1000) 16 forecast errors in all product groups than the Winter’s model. Thus, it is reasonable to conclude that the decomposition model provides better demand forecasts than the other. One way to check whether the forecasting model is adequate is to evaluate the randomness of the forecast errors. The auto-correlation coefficient functions (ACFs) of the errors from the decomposition model for several time lags at the significant level of 0. 05 of each product group are determined. The ACFs of Groups 1 and 3 are presented as examples in Fig. 4 and 5, respectively. The ACFs of Groups 4, 5, 6, 7, and 8 are similar to those of Group 1 in Table 1. Forecast errors of the Winter’s and decomposition models. MSE Products MAPE (%) Winter’s Decomposition Winter’s Decomposition 9,879,330 4,363,290 2,227,592 4,507,990 10,039,690 574,108 636,755 883,811 36. 14 48. 94 24. 25 30. 08 18. 80 53. 86 61. 99 46. 52 26. 97 31. 86 15. 97 23. 4 13. 14 34. 80 34. 45 28. 76 Group 1 16,855,149 Group 2 8,485,892 Group 3 5,433,666 Group 4 6,035,466 Group 5 23,030,657 Group 6 1,690,763 Group 7 2,034,917 Group 8 1,884,353 Estimated Autocorrelations 1 0. 5 coefficient 0 -0. 5 -1 0 4 8 lag 12 16 20 Fig 4. ACFs of the residuals from the decomposition model for Group 1. Estimated Autocorrel ations 1 0. 5 16 demand 3 coefficient 0 8 -0. 5 4 -1 0 0 10 20 30 time index 40 50 60 0 4 8 lag 12 16 20 Fig 3. Actual demand of Group 3. Fig 5. ACFs of the residuals from the decomposition model for Group 3. 274 ScienceAsia 27 (2001) Fig 4, while those of Groups 2 and 3 are similar. It can be seen from Fig. 4 that the ACFs of all lags are within the upper and lower limits, meaning that the errors are random. However, the ACF of lag 1 in Fig. 5 exceeds the upper limit. This indicates that auto-correlations do exist in the errors and that the errors are not random. From the ACFs, we can conclude that the decomposition model is adequate for forecasting the demands of Groups 1, 4, 5, 6, 7, and 8, but inadequate for forecasting those of Groups 2 and 3. Therefore, the ARIMA model is applied to Groups 2 and 3. From the original time series of the demand of Group 3 (in Fig. 3), and the ACFs of its original series (in Fig. ), it can be interpreted that the original series has a trend, and a high value of ACF of lag 12 indicates the existence of seasonality. 2 Hence, a non-seasonal first-difference to remove the trend and a seasonal first-difference to remove the strong seasonal spikes in the ACFs are tested. Fig. 7 shows the ACFs of the ARIMA (p,1,q)(P,1,Q) 12 model afte r applying the first difference. The nonseasonal plot indicates that there is an exponential decay and one significant ACF of lag 2. Thus, the AR(1) and MA(1) process denoted by ARIMA (1,1,1)(0,1,0)12 is identified. The ACFs of the residuals after applying this ARIMA model shown in Fig. reveals that there is a high value of ACF of lag 12. Therefore, the AR(1) and MA(1) process for the seasonal part or ARIMA (1,1,1)(1,1,1)12 can be identified. The ACFs of the residuals generated from this model are shown in Fig. 9. Since all ACFs are within the two significant limits, the ARIMA (1,1,1)(1,1,1)12 model is adequate. Using the Statgraphic program, the model coefficients can be determined. The demand forecast for Group 3 is presented in Eq. 1. Ft = 1. 197 X t ? 1 ? 0. 197 X t ? 2 + 0. 54408 X t ? 12 ? 0. 65126 X t ? 13 + 0. 10718 X t ? 14 + 0. 45592 X t ? 24 ? 0. 54574 X t ? 25 + 0. 08982 X t ? 26 ? 1. 6699et ? 1 ? 0. 7154et ? 12 + 0. 76332et ? 13 + 29. 34781 (1) where Ft is the demand fo recast for period t Xt is the actual demand for period t et is the forecast error for period t Similarly, the forecasting model for Group 2 is ARIMA (3,0,0)(3,0,0). 12 The demand forecast of Group 2 is presented in Eq. 2. Estimated Autocorrelations for Original Series 1 Estimated Residual ACF 1 0. 5 0. 5 coefficient coefficient 0 0 -0. 5 -0. 5 -1 0 5 10 lag 15 20 25 -1 0 5 10 lag 15 20 25 Fig 6. ACFs of the actual demand for Group 3. Fig 8. ACFs of the residuals of ARIMA (1,1,1)(0,1,0)12 model for Group 3. Estimated Residual ACF 1 Estimated Autocorrelations for 1 Nonseasonal Differences 1 Seasonal Differences 1 0. 5 0. 5 coefficient coefficient 0 0 -0. 5 -0. 5 -1 0 5 10 lag 15 20 25 -1 0 5 10 lag 15 20 25 Fig 7. ACFs after first differencing for Group 3. Fig 9. ACFs of the residuals of ARIMA (1,1,1)(1,1,1)12 model for Group 3. ScienceAsia 27 (2001) 275 Ft = 0. 36951X t? 1 + 0. 30695X t? 2 – 0. 18213X t? 3 + 0. 20132 X t? 12 ? 0. 07439 X t? 13 ? 0. 06180 X 14 + 0. 03667 X t? 15 ? 0. 03325X t? 24 + 0. 01228 X t? 25 + 0. 01021X t? 26 ? 0. 00606 X t? 27 + 0. 68660 X t? 36 ? 0. 25371X t? 37 ? 0. 21075X t? 38 + 0. 12505X t? 39 + 354. 4515 2) The forecast errors of the decomposition and ARIMA models for Groups 2 and 3 are presented in Table 2. It reveals that the ARIMA model has lower Table 2. Forecast errors of the decomposition and ARIMA models. MSE Products Group 2 Group 3 Decomposition ARIMA 4,363,290 2,227,592 3,112,974 1,235,788 MAPE (%) Decomposition ARIMA 31. 86 15. 97 29. 05 13. 18 MSE and MAPE than t he decomposition model. Therefore, the ARIMA model should be used to forecast the aggregate demands of Groups 2 and 3. For other product groups, however, the decomposition model should be used because it is more simple yet still adequate. The comparison of the demand forecast errors obtained from the forecasting models and those from the current practice of the marketing department (as presented in Table 3) indicates that the errors of the forecasting models are substantially lower than those of the current practice. Demand Forecasts of Individual Products The demand forecast of product i for period t, dit, is obtained by multiplying the aggregate demand forecast of the product group (obtained from the previous steps) by the corresponding product mix (as presented in Table 4). Table 3. Forecast errors of the current practice, decomposition, and ARIMA models. MSE Product Group 1 Group 2 Group 3 Group 4 Group 5 Group 6 Group 7 Group 8 Current practice Decomposition 16,672,342 4,394,693 4,988,962 4,754,572 19,787,102 795,621 849,420 1,060,301 9,879,330 4,507,990 10,039,690 574,108 636,755 883,811 ARIMA 3,112,974 1,235,788 MAPE (%) Current practice Decomposition 30. 58 34. 68 23. 50 25. 73 17. 54 42. 70 38. 36 37. 93 26. 97 23. 24 13. 14 34. 80 34. 45 28. 76 ARIMA 29. 05 13. 18 – Table 4. Product mix. Product group Product 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 1 0. 17 0. 20 0. 26 0. 23 0. 14 1. 0 0. 53 0. 47 0. 65 0. 35 1. 0 1. 0 1. 0. 3 0. 7 2 3 4 5 6 7 8 276 ScienceAsia 27 (2001) Calculation of Safety Stock The safety stocks of finished products must be provided to protect against stock-out problems due to inaccurate demand forecasts. Based on the forecast errors obtained from the demand forecasting models, the amount of the safety stock is calculated using the following formula. 12 SSit = sf * ? j * ? ij (3) PRODUCTION PLANNING METHO D The production planning model is developed by initially defining decision variables and parameters, and then mathematically formulating the production planning model. Step 4 of the method requires that the model parameters be estimated and entered into the model. The model is solved for the optimal solution (Step 5). Step 6 recommends that the model parameters are updated, and the model is solved again after one planning period has passed. The production planning problem of the factory under consideration belongs to the class of multistage, multi-item, capacitated production planning model. The models in this class have been discussed extensively in. 6-11 They differ in assumptions, objectives, constraints, and solution methods. Our production planning model is a modification of the multi-stage, multi-product model discussed in Johnson and Montgomery. 6 Its objective is to minimize the total overtime and inventory holding costs. Costs of laying off and rehiring are not considered because laying off and rehiring are not allowed according to the labor union regulation. Since the production cost is time-invariant and all demands must be satisfied, the regular time production cost is thus not included in the objective function. Relevant parameters and decision variables are defined as follows: Parameters : hik = Holding cost per unit of product i at stage k (baht/unit/period) co = Cost per man-hour of overtime labor (baht/man-hour) dit = Demand forecast of product i for period t (units) aik = Processing time for one unit of product i at stage k (hours/unit) (rm)kt = Total available regular time excluding preventive maintenance and festival days at stage k for period t (man-hours) (om)kt = Total available overtime excluding preventive maintenance and festival days at stage k for period t (man-hours) W = Warehouse capacity (units) SSit = Safety stock of product i for period t (units) Iik0 = Initial inventory of product i at stage k (units) N = Total number of products (15 products) T = Total number of periods in the planning horizon (12 periods) K = Total number of stages (5 stages) where SSit = Required safety stock level of product i for period t sf = Safety factor = 1. 64 for a required service level of 95 % of the standard normal distribution ? j = Standard deviation of forecast errors of Group j. ?ij = Product mix of Product i in Group j. Since the errors of the recommended demand forecasting models are lower than those of the current practice, it is clear that SSit based on the use of the models must be lower than that determined from the current practice (assuming that the service levels of both cases are the same). Table 5 presents the required safety stocks of the current practice and the recommended forecasting models at 95 % service level. Table 5. Required safety stock of current practice and of recommended forecasting models. Safety stock (units) Product 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Current practice 1,138 1,339 1,741 1,540 937 3,438 1,941 1,722 2,324 1,252 7,295 1,463 1,511 507 1,182 Recommended forecasting models 887 1,043 1,356 1,200 730 2,905 979 868 2,274 1,224 5,258 1,245 1,323 460 1,072 ScienceAsia 27 (2001) 277 Decision variables: Xikt = Quantity of product i to be produced at stage k in period t (units) Iikt = Inventory of product i at stage k at the end of period t (units) Rkt = Regular time used at stage k during period t (man-hours) Okt = Overtime used at stage k during period t (man-hours) LP model: Minimize Z = ? ? ? hik Iikt + ? ? co Okt , (4) i =1 k =1 t =1 k =1 t =1 N K T K T Eq. 7 represents the material balance constraint in Stage 3, which produces the body of threecomponent products, for Products 13, 14, and 15. Constraint (13) must be included since the finished products are very bulky and require significant warehouse space that is quite limited. Work-inprocess inventory does not require significant storage space because it can be stacked. The non-negativity constraint (16) ensures that shortages of work-inprocess inventory do not occur. Input Parameters The initial inventory of product i at stage k, Iik0, is collected from real data of work-in-process or finished good inventories on the factory floor at the beginning of the planning horizon. The inventory holding cost of product i at stage k, hik, is estimated by assuming that the annual inventory holding cost is 25% of the cost per unit of the product at the respective production stage. Since the cost per unit is constant over the planning horizon, the annual inventory holding cost is time-invariant. The factory has enough space in the warehouse to store not more than 40,000 units of finished products. The total available regular time, (rm)kt, is estimated based on the fact that the factory is normally operated 16 hours a day and six days a week, and the total available overtime, (om)kt, is calculated by assuming that the overtime could not be more than six hours a day. The overtime cost, co, is assumed to be constant throughout the planning horizon, and is estimated to be 60 Baht per man-hour. After all related parameters have been estimated and entered into the planning model, the optimal values of all decision variables are calculated using the LINGO software. The computation time takes less than one minute on a Pentium PC. Results of the Production Planning Models with Different Levels of Safety Stock In this section, two production planning models with different safety stock levels (as shown in Table 5) are solved to determine the total cost savings when the recommended forecasting models are applied in place of the current practice. The inventory holding, overtime, and total costs of both models are presented in Table 6. Based on the optimal total cost of the current practice (4,078,746 Baht per year) and the optimal total cost of the recommended forecasting models (3,541,772 Baht per year), the total cost saving is 536,974 Baht per year, or 13. 2 %. It can be also seen Subject to – Finished product requirement constraints I i 5,t? 1 + X i 5t ? I i 5t = dit – ? i, t ; k = 5, (5) Material balance between stages constraints ? i, t ; k = 4, (6) (7) ? i, t ; k = 2, (8) ? i, t ; k = 1, (9) I i 4 ,t? 1 + X i 4 t ? I i 4 t = X i 5t I i 3,t? 1 + X i 3t ? I i 3t = X i 4 t ?t ; i = 13, 14, 15; k = 3, I i 2,t? 1 + X i 2t ? I i 2t = X i 4 t I i1,t? 1 + X i1t ? I i1t = X i 2t Capacity constraints ? aik X ikt ? Rkt + Okt i= 1 N ?k , t , (10) – Available regular and overtime constraints. Rkt ? (rm) kt Okt ? ( om) kt ?k , t , ? k , t , (11) (12) – Inventory capacity of finished product constraints. ? I ikt ? W i= 1 N ?t ; k = 5, (13) – Safety stock of finished product constraints. I ikt ? SS it ?i, t ; k = 5, (14) – Non-negativity conditions X ikt ? 0 I ikt ? 0 ?i, k , t , ? i, t ; k = 1, 2, 3, 4 (15) (16) 278 ScienceAsia 27 (2001) Table 6. Comparison of the optimal costs of production planning models. Optimal costs (Baht/year) Model based on the current practice Inventory holding cost Overtime cost Total cost 2,117,051 1,961,695 4,078,746 Model based on recommended forecasting models 1,775,552 1,766,220 3,541,772 REFERENCES 1. Nahmias S (1993) Production and Operations Analysis, 2nd ed, Irwin, New York. 2. Vandaele W (1983) Applied Time Series and Box-Jenkins Models, Academic Press, New York. 3. Winters PR (1960) Forecasting Sales by Exponentially Weighted Moving Average. Management Science 6(4), 324-42. 4. Box GE and Jenkins GM (1970) Time Series Analysis, Forecasting, and Control, Holden-Day, San Francisco. 5. Makridakis S Wheelwright SC and McGee VE (1983) Forecasting Methods and Applications, 2nd ed, John Wiley & Sons, New York. 6. Johnson LA and Montgomery DC (1974) Operations Research in Production Planning, Scheduling, and Inventory Control, John Wiley & Sons, New York. 7. Bullington P McClain J and Thomas J (1983) Mathematical Programming Approaches to Capacity Constrained MRP Systems: Review, Formulation, and Problem Reduction. Management Science 29(10). 8. Gabbay H (1979) Multi-Stage Production Planning. Management Science 25(11), 1138-48. 9. Zahorik A Thomas J and Trigeiro W (1984) Network Programming Models for Production Scheduling in MultiStage, Multi-Item Capacitated Systems. Management Science 30(3), 308-25. 10. Lanzanuer V (1970) Production and Employment Scheduling in Multi-Stage Production Systems. Naval Research Logistics Quarterly 17(2), 193-8. 11. Schwarz LB (ed) (1981) Multi-level Production and Inventory Control Systems: Theory and Practice, North-Holland, New York. 12. Tersine RJ (1994) Principles of Inventory and Materials Management, 4th ed, Prentice Hall, New Jersey. that the optimal inventory holding cost and overtime cost in the production planning model based on the recommended forecasting models are almost equal which indicates that the model can efficiently achieve a tradeoff between both costs. Normally, the optimal decisions in the first planning period will be implemented. After the first period has passed, the new forecasts will be determined, and the model parameters will be updated. The updated model is solved again to determine the optimal decisions in the current period. This is called a rolling horizon concept. However, the details and results of this step are not shown in this paper. DISCUSSION AND CONCLUSION The ARIMA model provides more reliable demand forecasts but it is more complicated to apply than the decomposition model. Therefore the ARIMA model should be used only when the decomposition model is inadequate. When compared against those of the current practice of the company, the errors of our selected models are considerably lower. This situation can lead to substantial reductions in safety stocks. Consequently, the lower safety stocks result in decreased inventory holding and overtime costs. The results of the production planning model are of great value to the company since the model can determine the optimal overtime work, production quantities, and inventory levels that yield the optimal total overtime and holding costs. The production planning method is more suitable than the existing one that does not consider any cost factors. Moreover, it has been proven that an application of appropriate forecasting techniques can reduce total inventory holding and overtime costs significantly. In conclusion, this paper demonstrates that an improvement in demand forecasting and production planning can be achieved by replacing subjective and intuitive judgments by the systematic methods.

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Kelley School of Business Essay I. I strongly believe that my education at the Kelley School of Business will help me achieve my goals. To begin with, it has been my short-term goal to obtain as much information about Finance to be an efficient Fund Manager of an investment company. This position requires me to maximize the profits of the company as well as the clients. An MBA degree will contribute a lot to pursuing this goal. As the program says, the MBA education at Kelley teaches leadership first and foremost, and when leadership has been laid all the other principles of Finance is given. This is what I wanted to acquire, for I know this is going to be useful for me in my career path and plans. I also learned many values in my four years with Jaesung Jinheung in South Korea as a Quality Controller. Most of my leadership and social skills were shaped by my stay there, and it also allowed me to learn how to treat others working for my department under me. My experiences in CB Richard Ellis Korea during my internship also exposed me to different financial situations that helped me apply what I learned from my Bachelor’s Degree in Business. Translating English documents into Korean, the internship gave me a heads up on the financial world and trained me with all aspects of business while refreshing all that I have learned. These work experiences give me the edge in my chosen profession. With experience and values, I am confident that I can achieve my career potential to the fullest. But this short-term goal is not my only motivation to pursue an MBA degree. It is also my goal to be a Chartered Financial Analyst or a CFA. To qualify for this title, I need a minimum of four years experience in the financial investment industry. I hope to have this requirement through the Fund Manager position that I want to serve. Apart from this, I also need to learn more to be able to pass the three examinations required of aspiring Chartered Financial Analysts. Backed with an MBA degree from Kelley and the work experiences that I had, I know that becoming a CFA is not very hard. I have designed my goals to complement each other. I felt that it will be easy to achieve something if it has been planned out in accordance to how the processes of planning have been. This is why I wanted to tackle Fund Management; I know I leads to my ultimate goal of becoming a CFA. Considering these goals, I am motivated with the MBA degree knowing that it will do so much for my advancement. My work experiences in Korea are likewise a big help. Work allowed me to apply theoretical knowledge into practical settings. It took my knowledge from my books into my hands, so to speak. From work I learned leadership, sociability, patience, problem-solving skills, and perseverance. Given these work and educational foundations, I am confident that my short and long term goals will not be too hard to achieve. II. If I have to choose three persons to ride with me in a cross-country trip, I will have to choose those who have been efficient in their roles in their respective fields. I will also consider the feasibility of the trip, and the comfort of traveling with those three people. This way, I can be sure that I will be learning a lot and will be able to get something from them that I can use with my own educational and career path. Of course, when business is the topic, many names come to mind. Still, one can single out people who will be beneficial to learning about life and work among others. I would like to have J.P. Morgan in the backseat. We will most probably talk about how he saved the Wall Street and figure out how important this financier’s role is to history. I hope to learn from him how to manage incoming and outgoing finances, and how to delegate allocations properly in a way that the value of finances is maximized. I will be asking a lot of questions, including business problems he has encountered and how he was able to see himself through them, for I know that the bigger a businessman the bigger his problems too. Most of the questions will focus on money and investment management. I will have clients in mind when speaking with Morgan, putting a future client’s possible case and asking Morgan about his opinion on it. Beside J.P. Morgan will be Richard Branson. I like the idea that he can call for air help when something happens to us or to the car. Yet more seriously, I would also like to know how he managed to grow the Virgin Group to what it is now. I also hope to learn from him how he manages to grow the business while facing detractors and competition. I feel that Branson is the best person to ask about growing a business through rolling investment. Given my interest in investment management, this will be a lot of help for me and my career. Lastly, John D. Rockefeller is another person I want to drive with, and he will be staying in the front passenger’s seat. I hope to learn from him how he managed to make binding ties and affiliations with large companies that eventually cut costs for his trade and offered cheaper end-products for consumers. If there is anything that I would like to have from Rockefeller, it is his ability to communicate in a way that prospective business partners agree to him, and competitors sell out to him. Speaking with Morgan, Branson, and Rockefeller will earn me a lot of business insights. They will also give me a lot of information about businessman mindset, something I need to know more about to enable me to learn more about my future clients and how I can better help them with their finances. I am sure that the trip will be fruitful, and that it will enlighten me with my career path. Indeed, speaking with experienced individuals in a refreshing new environment will organize my thoughts and allow me to better serve my goals.

The Duties Of A Social Worker Social Work Essay

The Duties Of A Social Worker Social Work Essay The beginnings of community care date back the Griffiths Report in 1988, particular Community Care: Agenda for Action and the government White Paper Caring for People. (Guthrie; 2011) The papers emphasised choice, independence and involvement service users and carers. A series of shifting strategies and priorities developed such as; move from institutionalisation to promote independent living within community, from service led to needs led provision. (Petch; 2008) In 1990, the NHS and Community Care Act (NHSCCA1990) was introduced that draws attention to the term care in the community which for many service providers opened door to market of services, leading to privatisation and managerialism. (Ferguson Woodward; 2009) Although community care was introduced by the NHSCCA1990, this operated in Scotland to amend the Social Work (Scotland) Act 1968 (SW(S)A1968). The addition of section S12(a) into the SW(S)A1968 created a duty to assess the needs of the individual who may require serv ices. Potentially the statutory legislation that could be used in the case of Mrs. Sheerer are; Mental Health (Care and Treatment) (Scotland) Act 2003, (MH(CT)(S)A2003), Adults with Incapacity Act 2000 (AWI(S)A2000), mentioned above SW(S)A1968 amended under section 13(za) and Adult Support and Protection (Scotland) Act 2007 (ASP(S)A2007). (Mackay; 2008) It seems to be very unlikely to use MH(CT)(S)A2003 because there are no clear evidence that Mrs. Sheerer suffer a mental disorder, defines as; a mental illness, personality disorder or learning disability which is caused or manifested S328(1) of MH(CT)(S)A2003. She also based on information provided, does not appear to put herself or others on significant risk and her decision making is not obviously impaired. It is worth noting that the act is very controversial due to impact of stigma, coercion and breaching of human rights. The AWI(S)A2000 could be used on the grounds that Mrs. Sheerer is deemed to lack capacity to make decision in relation to her future care needs, S1(6) of AWI(S)A2000 states incapable means incapable of making decision and this seems to be relevant to the case. It is important to note based on legislation that if Mrs. Sheerer is unable to make decision in some areas, she is likely to take decisions in others. In Scottish law, there must be clear evidence that a person lack of capacity before any action will be permitted. (Scottish Government; 2008) However, in England and Wales the same rule is statutory, the adult must be assumed to have capacity unless proven otherwise as stated in S1 of Mental Capacity Act 2005 (MCA2005). It may be questioned if Mrs. Sheerer actually lack of capacity, based on single SMART test in hospital condition. Hospital could exacerbate confusion, as a result of unfamiliarity, lack of sleep, medication or pain. When intervening in Mrs. Sheerer live, the princ iples defines in S1 of AWI(S)A2000 must be taken into account such as; intervention will benefit the adult and will be least restrictive option in relation to the freedom of Mrs Sheerer. Account shall be taken of the present and past wishes and feeling of service user and the views of other relevant people. It is worth noting that principle three only requires views are taken into account but it does not mean they are given effect to. The principle four of the AWI(S)A2000, to promote the participation in decision making, is slightly different in England and Wales, where decisions being taken in the best interest of and adults according to S1(5) of MCA2005. It is important to check if Mrs. Sheerer did not take advantage of the options such as; negotiorum gestio, which allow the authorised person to act on the behalf of an incapable adult, attorneys or guardians to take decision on behalf of an adult. An attorney is appointed by the person before lost of capacity, at the presence of t he solicitor whereas, a guardian is appointed by the sheriff court. (Guthrie; 2011) Application for a guardianship order when Mrs. Sheerer is in hospital ready to discharge, could cause unnecessary process known as delayed discharge code 51X. (Scottish Government, 2010) The delays in guardianship order could be caused, by difficulties in obtaining legal aid by relatives. If social worker felt the delay in discharge result in negative consequences for Mrs. Sheerer, it would be considered taking over the guardianship application. To apply a guardian Mrs. Sheerer according to S57 of AWI(S)A2000 must be incapable and it must be likely that incapacity will continue. Therefore, the application for the guardian could be irrelevant in a situation of Mrs. Sheerer because there are no evidences of continuity of incapacity and the current state can only be temporary. If Mrs. Sheerer was not able to make decision, only for a short period of time, regarding her welfare or finance, where decision had to be made quickly, a social worker of behalf of local authority has duty to apply for an intervention order under S53 of AWI(S)A2000. Potentially AWI(S)A2000 could be used to imposed care at home or residential care to Mrs. Sheerer. Assuming that Mrs. Sheerer does not have appointees and lack of capacity to make decision about future care needs, it would has to be considered if the application for an order under the AWI(S)A2000 is necessary or alternatively use the power of the SW(S)A1968 amended under section 13(za). This section, give social worker a power to provide community care services that has been assessed as needed to Mrs. Sheerer due to incapability to consent receiving such services. In accordance with S13(za) of SW(S)A1968 Mrs. Sheerer could be move to care home or agree with proposed care intervention. Before using any of those two acts, the issues to discuss are; adoption of principles, deprivation of liberty, assessment of needs and risk as well as financial arrangements. The last but not least legal option to consider is ASP(S)A2007, the act refers to the law that concerns not only protection but providing support to promote independence and welfare of service user. Mrs. Sheerer meets two condition of the act to be applied such as; she is at risk and may need protection of well-being, due to her lack of capacity, poor nutrition as well as risk of falls. The ASP(S)A2007 gives social worker working on behalf of local authority duty to investigate and assess Mrs. Sheerer. Most of assessments are undertaken on a voluntary basis but the act gives power to assess without consent of service user and is known as the first of three protection orders. (Mackay: 2008a) The act also established a duty to cooperate between agencies and creates multi-disciplinary Adults Protection Committees to implement, monitor and support the work. One could envisage that the use of ASP(S)A2007 seems to be the most appropriate option because is the less restrictive according to Mackay (2008) pyramid of statutory intervention. What is more, the act itself does not stigmatise, the least breach human right or freedom. It will give social worker time to get know and build better relationship with Mrs. Sheers. Consequently, it will result in having more information and better picture of situation. When using ASP(S)A2007 one assume Mrs. Sheerers situation could be caused by experiencing some difficulties in her life or even suffer distress such as bereavement, lost or abuse. The intervention in Mrs. Sheerer live will depend on many factors to be discussed; service users opinion, adaptability of house to current needs, the condition of house and accessibility, opinions of other professional and relatives. One might expect that Mrs Sheerer, regardless of age but due to femur fracture will require intense home care services or adaptatio n of the house such as; raised toilet seat, grab or lifting handles, community alarm, hospital bed or others. The application of the above will be possible under S13(za) of SW(S)1968 envisaging that Mrs. Sheerer expresses consent to such services to be provided. Social worker has duty to assess the needs of Mrs. Sheerer under ASP(S)2007 but the consent to provide services is needed to use S13(za) of SW(S)A1968. Otherwise, social worker could take action under AWIA(S)2000. The principles of these acts required to take the view of Mrs. Sheerer and carers if involved, into account when deciding what services to provide, this is also in accordance with Community Care and Health (Scotland) Act 2002 (CCH(S)A2002) amended under S12(a) of the SW(S)A1968. It is worth pointing out that Mrs. Sheerer was nutritionally compromise but had home care services and limited family intervention. This raises the questions of why it was not noticed, how adequate is the result of SMART test in hospital co nditions and how this had affected Mrs. Sheerer. There are a lot of speculations and factors to consider but taking into account the limited information that were given and assuming social worker investigates this case for the first time, it seems be discriminative to use other legislation. One must remember that legislative context of intervention, mainly, is driven by the relationship between social worker and service user, which is a core element to success intervention in social work. It is an important source of information to understand the reality behind the situation and how best to help. Wilson et al. (2008: p.7) referring to relationship-based practice called it the medium through which social worker can engage with and intervene in the complexity of internal and external world of service user. This part of the essay examines responsibilities, rights and role of people involved. The legislation gives the social worker acting on behalf of local authority a general responsibility to promote well being, to minimise the effect of intervention and give an adult the opportunity to lead as normal live as possible. Local authority is responsible for assessing needs for community care services, arranging and providing these services as well as cooperation with other professionals such as; occupational therapist, housing officers, GPs. This is according to the integration agenda between health and social care services. (Age Scotland, 2011) Social worker has statutory duties underpinned not only by the law but also professional codes and values. Expectation of social work profession is presented in code of ethics issued by British Association of Social Workers (BASW) and code of practice represented by Scottish Social Services Council (SSSC). Social work values grew on the idea of respect for the equality, worth and dignity of all people. Human rights and social justice are at the heart of social work intervention. The five principles indicates by BASW (2012) regarding human rights are; to promote and respect well being, support people to make own choices and decisions, promote involvement, participation and empowerment of people using services, treating each person as a whole to recognise all aspects of service users life, identifying and developing strengths. While, code of practice (SSSC; 2007) requires; to protect the right and promote the interest of service user, maintain the trust and confidence, promote independ ence while protecting from harm and danger, respect the rights of service user. The Scottish Parliament and public authorities are required to uphold the European Convention of Human Rights, incorporated into the UK law through Human Rights Act 1998. (Johns; 2008) It can be in some cases that the law can breach human rights. Therefore, in relation to Mrs. Sheerer social worker most of all has to respect, Mrs. Sheerers right to liberty and security, the article five established three conditions to be met before it will be breached such as certified mental disorder within significant degree and persistency. Article eight states that Mrs. Sheerer has the right to privacy, family life, home and correspondence. (Johns, 2008) She also has the right to access a solicitor or advocacy included under S6 of ASP(S)A2007. The role of social worker will be to ensure Mrs. Sheerer understand legal processes and if she is aware of her rights. The legislation framework is complex, consequently; information given must make sense and be understandable for service user, the role of social worker is to take time to explain and answer questions. Social worker must use appropriate and effective method of communication and skills to understand and to be understood. The aim is to support Mrs. Sheerer to make informed choices as far as possible. Social worker must ensure that Mrs. Sheerers views are heard and she understands a situation. There are six core roles of social worker such as; case worker, advocate, partner, assessor of risk and needs, care manger, agent of social control. The above roles are affected by changes in wider social context, welfare policy and ideology like for example demographic changes, communications technologies, consumerism etc. (Scottish Government; 2005) Social worker role is to work together with Mrs. Sheerer to assist her to address personal issues, provide information and advocacy. Provide services to meet the needs of service user and not to try to fix Mrs. Sheerer to services available. This part of the essay attempts to show the prospects of anti-discrimination, participation and empowerment in social work. Social worker is obligated by law, values and ethics to support and work with service user in anti-oppressive and anti-discriminatory way. Knowledge and understanding of professional codes such as; BASW and SSSC is crucial in being aware of anti-discriminatory practice in social work by defining rights and responsibilities. The anti-discriminatory trends in social work values and practice are deeply rooted in radical social work that aims to work towards a society based on equality, justice and involvement. According to the maxim popularised by Marx from each according to his ability, to each according to his needs. (Doel; 2012, p. 27) Social justice is still a basic value in social work practice. Dalrymple and Burke (2006) refer to emancipator issues that driven contemporary social work such as social justice, empowerment, partnership and minimal intervention. Participation is a key element in the development of anti-discriminatory practice. Wilson (2008) refers to involvement of service user in social work practice based on partnership and empowerment. The term partnership is used to refer to practice, based on working with service users, towards together agreed goals, rather than doing things for them. (Thomson, 2011) Dalrymple and Burke (2006) defined partnership as process of information sharing and involvement in decision-making. Taking the above into account social worker have to involve Mrs. Sheerer in the process of decision making and intervention such as defining needs, decide how best to help, implementing, agreeing and evaluating. Empowerment is not simply a matter of facilitating or enabling. It also involves taking account of the disadvantage and oppression that are so characteristic of the service user day to day experiences. (Thompson, 2008) Work in anti-discriminatory way means to see Mrs. Sheerer within her wide social c ontext include environmental, societal and cultural factors such as race, gender, ethnicity, age, sexual orientation, disability and so on. The last section of the essay assesses social policy that inform legislative context of this case. It is seems to be clear that social worker needs to work in integration with other professionals within all aspects of assessment and intervention process. The legislation defines responsibilities in social work but social policies outline a plan of action, a set of rules that guide practice. The first significant policy in terms of promoting partnership working across health, housing and social care is Joint Future 2000. This is a unique partnership between the Scottish Executive, the Convention of Scottish Local Authorities (CoSLA) and NHS Scotland that focus on to improve joint working through financing join services, management and resources. A key component of Joint Future has been development of Single Shared Assessment (SSA) that aims to shorten and improve flow of information between professionals and agencies, avoid duplication, provide faster access to support with less bureaucracy. (Age Scotland, 2012) The policy Changing Lives 2006 has concerned on anti-discrimination, to do not look at service user in the context of vulnerability but to focus on strength and building true relationship. The aim set out through report were promoting participation; taking a whole-person approach; understanding each individual in the context of family and community. (Scottish Government; 2006) The another policy that seems to be important in relation to scenario, with the assumption of that Mrs Sheerer is an older person because the policy aims mainly to older people, is All our Future. It supports older people to stay at home as long as possible by providing free personal care, telecare development programme, care and repair, travel scheme; free bus travel etc.. (Scottish Executive; 2007) It is noteworthy that Mrs. Sheerer may be entitled to free personal care that was introduced by the Sutherland report and statutory implemented through the CCH(S)A2002. (Guthrie; 2011) In Scotland every person over 60 years is entitled to free personal care in other cases it will depend on needs, priority and categories of risk. The policy Reshaping Care for Older People (SCSWIS; 2011) focuses on the 3Rs rehabilitation, re-ablement and recovery to optimise the independence of people at home. The reablement is a new service, initially aims at people coming out of hospital. In Glasgow it i s a partnership between Social Work Services, Cordia, NHS Greater Glasgow and Clyde. If Mrs. Sheerer lives in the area, she will be provided with services up to six weeks, the reablement aims to build confidence by helping to regain the skills to do what Mrs. Sheerer can and want to do for herself at home.(Glasgow City Council: 2011) Recent consultation on integration agenda sets out proposal to inform and modify the way that the NHS and Local Authorities collaborate, and work in partnership with the third and independent sectors. This includes integrated budget and joint accountability. The proposal extends the services provision to all adults and not only older people, so the speculations regarding the age of Mrs. Sheerer would not be needed. The Integration of Adult Health and Social Care Bill plans to create Health and Social Care Partnerships, which will replace Community Health Partnerships and will be the joint and equal responsibility of Health Boards and Local Authorities. (Scottish Government; 2012) Ineffective partnership between health and social services is a real dilemma of contemporary social work practice. On the one hand, the problem is finance and the eternal question; who are going to pay for services? On the other, the issue of finding appropriate resources that will meet the needs of Mrs. She erer, both processes are time consuming. Consequently, Mrs. Sheerer can be detained in hospital longer that necessary that can affect her emotional and physical condition, which usually will deteriorate. Other issues are; blocked bed and retained the flow of a new patient. One strongly believe that new integration agenda of health and social care such as one budget and consolidated partnership will make a difference in new social services. The new social policies and legislation present a wide range of possible options and choices such as; personalised services and self-directed support. It this week government has been discussing the Social Care (Self-directed Support) (Scotland) Bill (SDS Bill) that has been passed stage three on 28th of November 2012. (Scottish Parliament, 2012) What that means for social work today is a shift from service led to outcome led provision, The Talking Points: Personal Outcomes Approach promoted by the Joint Improvement Team will change the process of assessment of needs that now will be more focus on targets. Based on SDS Bill social worker will have a duty to offer; direct payment to Mrs. Sheerer in order that she will arrange her support; can make arrangement for services that have been chosen by Mrs. Sheerer or can select appropriate support and make arrangement. (IRISS; 2012) One could seriously question if Mrs. Sheerer will have skills and knowledge to manage these variety of options such as; possibility to employ own carers or buy own services, if she have not done before. It seems to be clear that the role of social worker will have change form procedural care management towards support and brokerage. To sum up, contemporary social work practice drifting away from paternalism to seeing service users as experts of own life an illustration of this is work in partnerships, service user involvement or SDS. There is no doubt that relationship between social worker and Mrs. Sheer is a key in the process of intervention. It is significant to talk to and listen to service user. The more time spend, the more social worker will understand Mrs. Sheerer within wider social context. One must remember that when intervening in someones life taking no action is an action, otherwise the option of minimal intervention or less restrictive option must be put in place.

A Detailed Essay of My Journey on the Internet :: Speakers Research Internet Papers

A Detailed Essay of My Journey on the Internet The Internet is a wonderful and exciting place to research anything. At any given time, day or night, a person can log onto the World Wide Web and become part of a global community, just behind his or her computer monitor, delving into the high speed universe of silicon and circuit boards. One large slice of this world is the plethora of consumer products always available online. I have chosen a product that many people have in their homes today and is an essential component to a consumers prized entertainment system - speakers. Speakers are an interesting topic to research, and I have been meaning to do that research for quite some time now. It is almost ironic that an earlier English assignment was to write about a journey, and this assignment turned out to be quite the journey itself. Speakers come in many shapes and sizes, as well as different brands and styles. I decided to start with the Web browser I use everyday, Microsoft Internet Explorer, to research this product. By typing the word speakers into the generic search engine, I came up with so many choices that I felt it would be better to search, instead, through the many brands and narrow my search down to just a few. I found only a number of brands that really appealed to me because they are well-known and respected. These brands were Sony, Bose, Pioneer and RCA Narrowing this large field down to only four brands made my research much easier and much more enjoyable. Name brands are all known for high end stereo equipment, and these seem the most reasonable in price for the everyday consumer looking for a good, affordable set of speakers. After further research and drawing from my past experiences with every brand being considered, I determined that Bose Speakers were an excellent buy. This was the part of the search that seemed to take the most time. After getting this far, it was time to really test the limits of the Internet. How many different types of speakers can I find that are manufactured by the Bose Company? What kind of prices can I find for these products and are they the same in every site? What kind of deal can I get on these same speakers when using different search engines likeGoogle or America Online?