Product quality is regarded as one of the most important factors that consumers consider while purchasing products. However, contrary to objective quality, perceived product quality includes consumer&#039 / s judgment about the overall superiority or excellence of a product. This study mainly concentrates on the relationship between product appearance and perceived product quality especially for durable goods. The definitions of product quality and perceived product quality are reviewed to explain different dimensions of perceived product quality. Product appearance and the importance of product appearance are explained to reveal the relationship between the consumer and the appearance of the product. Four types of information communicated through the appearance are revealed: aesthetic information, symbolic information, functional information and ergonomic information. In the field study, how these four types of information communicated by the product appearance influence the consumers&rsquo / quality perception is questioned through a quantitative study. Conducted with 100 participants, the results of the questionnaire shows that the appearance influences quality perception in various stages of consumer/product context for durable goods. At the end of the study, it is observed that aesthetic, functional and ergonomic information directly influence consumer&rsquo / s quality perception / wheras, the influence of symbolic information on the perceived quality is found to be limited and indirect.

This study analyzes the technical efficiencies of Turkish electricity distribution companies (21 in total) throughout 2002 and 2009. For this aim, we used six different model specifications, all of which are generated from two different Stochastic Frontier Analysis (SFA) models (Battese ve Coelli (1992&amp / 1995)). At the end of the estimations of the models, it has been seen that the signs and significance levels of the coefficient estimations are very consistent and satisfactory in all models. We also observed consistency between the coefficient estimations of the different models despite the differences in the magnitudes of the coefficient estimations. For example, all model specifications confirm the presence of increasing returns to scale and of a mild technological progress over time in the market. In addition, among the inputs, all inputs except the quality of the electricity delivered are important in enhancing technical efficiency of the electricity distribution companies, according to the all alternative specifications. Again, all models showed that inefficiency effects rather than random error effects are of crucial importance in Turkish electricity distribution market. As for the efficiency estimations of the alternative models, the main conclusion revealed by our study is that efficiency estimations of the Battese ve Coelli (1995) models are remarkably higher than those of the Battese ve Coelli (1992) models. The efficiency estimation differences between Battese and Coelli (1992&amp / 1995) models can be attributed to the environmental variables included into the Battese ve Coelli (1995) models, which are not generally controlled by electricity distribution companies.

Within the field of Product Design there is an increasing interest in designing with emerging markets. Considering how long people have already been concerned with increasing global living standards it is surprising how little has been achieved. This suggests our current methods are insufficient. The Capability Approach (CA) by Amartya Sen offers a new way of assessing inequality and poverty, focusing on what people have reason to value to be or do. Products can be means to achieve these beings and doings. An evaluation framework inspired by this philosophy was developed. The framework was tested in a case study. The sociological impact was evaluated of the Philips Chulha, a subsidized cooking stove implemented in tribal India. The impact in terms of the CA was identified and explained using Kleine&rsquo / s Choice Framework and Bourdieu&rsquo / s concept of habitus. The framework was successful in engaging into deep dialogues with the target users. The interpreter appeared to be highly influential on the way the study was executed. Since the research was conducted in one region, no firm statements could be made based on this single case study. The framework needs further testing and developing in order to increase the collaboration between the interviewer and the interviewee. Eventually product designers can use the improved evaluation framework as a prospective framework to uncover design opportunities for developmental purposes.

In this thesis, we develop an exact algorithm for an assembly line balancing problem with equipment selection decisions. Two objectives are considered: minimizing the total equipment costs and the number of workstations. Our aim is to choose the type of the equipment(s) in every workstation and determine the assignment of the tasks to each workstation and equipment type. We aim to propose a set of efficient solutions for each problem and leave the choice of the best solution to the decision maker&rsquo / s preferences. A branch and bound algorithm is developed whose efficiency is increased with some dominance rules and powerful lower bounds. Moreover, modified ranked positional weight heuristic method is used as initial upper bound. The effectiveness of the proposed procedure is demonstrated by computational analysis in which the effects of changing certain parameter values are investigated. We find that our algorithm is capable of solving the problem instances with up to 25 tasks and 5 equipments.

Advancements in information technology enabled to track real time data in a more accurate and precise way in many manufacturing facilities. However, before obtaining the more accurate and precise data, the investment in information technology should be validated. Value of information may be adopted as a criterion in this investment. In this study, we analyze the value of information in a manufacturing facility where production and lead time quotation decisions are taken. In order to assess the value of information, two settings are analyzed. Under the first setting, the manufacturer takes decisions under perfect information. To find the optimal decisions under perfect information, a stochastic model is introduced. Under the second setting, the manufacturer takes decisions under imperfect information. To obtain a solution for this problem, Partially Observable Markov Decision Process is employed. Under the second setting, we study two approaches. In the first approach, we introduce a nonlinear programming model to find the optimal decisions. In the second approach, a heuristic approach, constructed on optimal actions taken under perfect information is presented. We examine the value of information under different parameters by considering the policies under nonlinear programming model and heuristic approach. The profit gap between the two policies is investigated. The effect of Make-to-Order (MTO) and Make-to-Stock (MTS) schemes on the value of information is analyzed. Lastly, different lead time quotation schemes / accept-all, accept-reject and precise lead time / are compared to find under which quotation scheme value of information is highest.