L'objectif principal de notre thèse est de contribuer au développement d’une approche couplant logique floue et capitalisation des connaissances pour résoudre un problème d’actualité traitant de la sélection des fournisseurs dans une chaîne logistique avec affectation des ordres d’achat dans un environnement dynamique et aléatoire.La recherche de nouveaux fournisseurs est une priorité majeure pour toute entreprise qui souhaite persister et gagner de nouvelles parts du marché sachant que ce dernier (le marché) est sans merci. Cela est lié sans doute à plusieurs aspects. Parmi ces derniers et pour ne citer que deux, 1) la réduction du cycle de vie des produits (très court, de 3-4 années) où de nouveaux modèles doivent être fréquemment développés en utilisant le plus souvent des composants innovants et/ou des technologies nouvelles et 2) la majorité des industries sont, historiquement, très consommatrices de main d’oeuvre qui a conduit sans doute à des variations complexes tant sur les besoins en matières premières qu’en main d’oeuvre qualifiée face à un marché chaotique / Supplier selection is nowadays one of the critical topics in supply chain management. This work presents a new decision making approach for group multi-criteria supplier selection problem, which clubs supplier selection process with order allocation for dynamic supply chains to cope market variations. More specifically, the developed approach imitates the knowledge acquisition and mani- pulation in a manner similar to the decision makers who have gathered considerable knowledge and expertise in procurement domain. Nevertheless, under many conditions, exact data are inadequate to model real-life situation and fuzzy logic can be incorporated to handle the vagueness of the decision makers. As per this concept, fuzzy-AHP method is used first for supplier selection through four classes (CLASS I: Performance strategy, CLASS II: Quality of service, CLASS III: Innovation and LASS IV: Risk), which are qualitatively meaningful. Thereafter, using simulation based fuzzy TOPSIS technique, the criteria application is quantitatively evaluated for order allocation among the selected suppliers. As a result, the approach generates decision-making knowledge, and thereafter, the developed combination of rules order allocation can easily be interpreted, adopted and at the same time if necessary, modified by decision makers. To demonstrate the applicability of the proposed approach, an illustrative example is presented and the results analyzed.

While making decisions, consumers are often confronted with choosing between multiple product and brand alternatives that may be viewed as specific bundles of attributes/criteria. Researchers, attempting to understand this decision-making process, employ multi-criteria decision making (MCDM) models in numerous ways for predicting ultimate brand choice. This thesis compares and contrasts four types of MCDM models within a laptop brand choice context—specifically, the Multi Attribute Attitude Model (MAAM; Fishbein 1967), Analytical Hierarchy Process (AHP; Saaty, 1980), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS; Hwang & Yoon, 1981), and a mixed AHP-TOPSIS model (Ghosh, 2011; Bhutia & Phipon,2012). While Fishbein’s MAAM model evaluates brand choice by multiplying attribute belief ratings with their importance weights, the AHP does a pair-wise comparison to elicit relative weights of brand attributes and alternatives. The TOPSIS method, on the other hand, proposes that consumers choose brands that are nearest to (i.e., the shortest distance from) their ideal brand solution as well as the farthest from (i.e., the greatest distance from) their worst solution. Advantages and disadvantages of each of these methods are reviewed, and a mixed AHP-TOPSIS method that addresses some of the drawbacks is proposed here. The results attained via TOPSIS and AHP-TOPSIS are the same. However, it is coincidental in the chosen laptop choice example. By applying the two models within an alternative hotel choice scenario, the rankings obtained are demonstrated as being different. Sensitivity analyses conducted also demonstrate these differences across models. This thesis has both theoretical and practical implications. From a theoretical perspective, it brings the knowledge of decision making methodologies from the supply chain management field to further the understanding of marketing related issues. Furthermore, this research is the first to apply a mixed AHP-TOPSIS model that demonstrates greater accuracy in predicting consumer brand choice. In terms of practical significance, it allows companies to improve the impression that customers hold about its performance on specific attribute types.

Decision making is a fundamental tool for managers and enable them to make logical decisions in critical situation between different options. This thesis concentrates mainly on seller selection problem or in some cases it also refers to vendor or supplier selection problem (SSP) and demonstrates how the multiple attribute decision making (MADM) methods can be effectively used for vendor selection decision in various situations of project management and supply chain environment. A case study has been carried out within two different countries (Sweden and Iran) in order to help practically managers to choose the best alternatives among their preferences. In this regard, AHP as one of major tools of MADM is also deployed.

In this study, I design an empirical open source software selection process, which reuses some ideas from Commercial Off-the-Shelf selection methods and addresses the characteristics of the open source software. Basically, it consists of three basic steps: identification, screening and evaluation. The identification step is to find all possible alternatives to open source software that can meet the high level requirements. The next step is screening, in which the refined requirements are applied to filter the alternatives. The evaluation step is based on the Analytic Hierarchy Process, in which the alternatives are inspected from functional suitability, source code, support strength and popularity. In more detail, under functionality suitability criterion, alternatives to open source software are evaluated in viewing of how much functionality can fit in with the functional user requirements. The source code of the alternatives is evaluated from six criteria: programming language, code size, code comment, code intra-module complexity and code inter-module complexity. The evaluation of support strength depends on the evaluation of field support and support resources. The field support includes commercial support and community support. The community support specifically refers to the direct responses from the community to the support requests. Aside from field support, open source software projects also provide various support-related resources such as, documents, wiki, blog, etc. To determine the popularity of the alternatives, I evaluate them from software use, development participation and web popularity. In the case study, I utilize the process to select the best open source unified modeling language tool from the ten alternatives for the software development process. After the screening phase, the four competitive alternatives, BOUML, ArgoUML, UMLet and Violet, are evaluated from functionality, source code, support strength and popularity criteria. The evaluation result indicates that ArgoUML is the best tool for the requirement. The case study demonstrates the effectiveness of the selection process. Various important attributes of open source software are taken into consideration systematically and the final decision is reached based on comprehensive investigation and analysis. The process provides an operable solution to the open source selection problem in practice.

Abstract : Taiwan Electronic Manufacturing Service (EMS) field , in recent years outside the IT industry moved after the mainland becomes the world main factory, the Taiwan EMS industry withered rapidly in the Taiwan part. But the new niche product company and the few diverse products R&D center actually could not find suitable Taiwan electronic manufacturing service field (EMS) in Taiwan, caused the Taiwan research and development center don¡¦t find the appropriate coordination manufacturer, in the meantime that Taiwan's research and development center moved or the extension development time and reduced the its competitive advantage . Therefore this research is focused on Taiwan Electronic Manufacturing Service industry (EMS) to look for to suit the industrial characteristic and the product which develops in Taiwan. In with is familiar with this profession by way of the experts advanced, after suits ¡§the Taiwan Electronic Manufacturing Service industry (EMS) industrial characteristic and the product¡¨ the questionnaire survey below, and proposes the view according to the findings. In suits Taiwan Electronic Manufacturing Service industry (EMS) the industrial characteristic, after the appraisal order of priority, the sorting result is (1) Niche Product industry, (2) the IC industrial agglomeration, (3) provides the research and development center production service, (4) and the photo-electricity industrial agglomeration, (5) and the emerging industrial agglomeration. In suits product of the Taiwan electron processing service industry don't after the appraisal after sorting, sorts(1) IC industrial Flip-Chip assembly, (2) research and development center production and supplier chain service, (3) Digital LCD TV assembly, (4) smart phone assembly, (5) IC industrial Flash-Memory card assembly (6) Defense industrial electronic product assembly, (7) IC industrial RAM of Module assembly ,(8) server Mother board assembly, (9) Wi-Max of handset assembly , (10) Pilot-Run service for R&D center, (11) photo-electricity industry the great size LCD panel production, (12) solar cell control panel, (13) Vo-IP of handset, (14) small size LCD panel pilot-run service (15) IC equipment control panel assembly , (16) base station of communication equipment assembly, (17) vehicle electronic product assembly. Each EMS should depend on various companies competitive advantage, and refers to the above findings, chooses the most appropriate profession and the product do not come to take the company direction. This strategy decision-making way first present situation of by the market, the customer and the external environment development penetrates questionnaire of analysis the market upstream and downstream to discover the external market opportunity also of to be possible to become pattern of the another kind of market strategy decision

The objective of this thesis research is to model the multiple program objectives used by Defence Research and Development Canada (DRDC) for the annual management and allocation of their broad range of Science and Technology (S&T) projects in order to best achieve the strategic goals of the agency and the government. This M.Sc. thesis presents methodologies, techniques and applications in Linear Programming (LP) and Multi-Criteria Decision Making (MCDM) for decision support in program prioritization and project selection of the DRDC S&T projects. The results of this research produce a model that supports decision makers effectively in the assignment of limited human and financial resources to competing S&T projects based on the evaluation of projects that merit funding and the multiple criteria established by the organization. While there is a well-defined set of criteria for the annual program formulation process, the selection procedure is currently based on simple scoring processes and expert judgement; it lacks a well-defined and structured analysis. The application of an MCDM framework is proposed to take advantage of the well-structured problem and improve annual renewal and ongoing monitoring or project performance measures. The results of the analysis provide a traceable and rigorous MCDM framework to evaluate the performance of DRDC S&T projects for enhanced resource allocation.

Abstract Because of the health consciousness has been arising in the recent years, more and more people pay much attention to the approaches of health maintenance. Therefore, the modern people who are occupied with plenty of works form their exercising habits in the fitness club which gradually becomes a trendy fashion in leisure and entertainment. In order to understand the business management models of the fitness industry, this research firstly focused on reviewing various rationales and historical documents and based on these rationales to identify the key successful factors to the management of the fitness industry. According to the research results, the key successful factors to the fitness club management are the service quality, product innovation and the quality of financial report. Therefore, the owners of the fitness club should give more weight to these three successful factors when considering and forming the management strategies. I¡¦ve been participating in the management of the fitness club for many years and am very interested in the relationships among the service quality, product innovation, financial management and the key successful factors of the management of the fitness club. Hopefully, through this research paper, we can have more understandings in the present situation and the future of the fitness industry in Taiwan. Keyword: Fitness club, AHP, KSF

In this study, I design an empirical open source software selection process, which reuses some ideas from Commercial Off-the-Shelf selection methods and addresses the characteristics of the open source software. Basically, it consists of three basic steps: identification, screening and evaluation. The identification step is to find all possible alternatives to open source software that can meet the high level requirements. The next step is screening, in which the refined requirements are applied to filter the alternatives. The evaluation step is based on the Analytic Hierarchy Process, in which the alternatives are inspected from functional suitability, source code, support strength and popularity. In more detail, under functionality suitability criterion, alternatives to open source software are evaluated in viewing of how much functionality can fit in with the functional user requirements. The source code of the alternatives is evaluated from six criteria: programming language, code size, code comment, code intra-module complexity and code inter-module complexity. The evaluation of support strength depends on the evaluation of field support and support resources. The field support includes commercial support and community support. The community support specifically refers to the direct responses from the community to the support requests. Aside from field support, open source software projects also provide various support-related resources such as, documents, wiki, blog, etc. To determine the popularity of the alternatives, I evaluate them from software use, development participation and web popularity. In the case study, I utilize the process to select the best open source unified modeling language tool from the ten alternatives for the software development process. After the screening phase, the four competitive alternatives, BOUML, ArgoUML, UMLet and Violet, are evaluated from functionality, source code, support strength and popularity criteria. The evaluation result indicates that ArgoUML is the best tool for the requirement. The case study demonstrates the effectiveness of the selection process. Various important attributes of open source software are taken into consideration systematically and the final decision is reached based on comprehensive investigation and analysis. The process provides an operable solution to the open source selection problem in practice.

The development of Taiwan¡¦s FPD industry was from 1976, and after passing the stage of TN-LCD, STN-LCD, TFT-LCD and OELD, it becomes one of the most important industries in Taiwan. But after searching the thesis that about FPD industry in Taiwan, there is no talking about the location of FPD plants. This paper reviewed many research about location theory, and try to separate in six part, which is cluster, human resource, cost, government policy, transportation and urban environment. This research use AHP to investigate 13 enterprises which about TFT-LCD and OLED manufactories in Taiwan, and 8 were success. In construct, according to the AHP¡¦s weight, cost factor is the highest, then is human resource, government policy, cluster, urban environment, transportation.

ABSTRACT Business loan is an important process and main revenue to bank. Loan asset is crucial in balance sheet. Asset quality is relevant to operating security, so bank should enhance the management and evaluation of loan process to ensure the operating security and performance during making a deal with clients. Sound evaluation model could help related staff evaluate the credit of clients and lower overdue loan ratio. IC industry is always the driving industry in Taiwan. Taiwan DRAM revenue, as a second place leader, accounts for more than 20% of world market. The nature of DRAM industry is huge capital, high technology level, fast price variation and those mean high risks during loan. Banks in Taiwan serve DRAM companies very often. In case of overdue loan, bank will be affected heavily. Thus, bank should build evaluation model of loan to ensure the security of loan. After reviewing related literature, this research identifies key factors of loan decision and invites related bank employees in north Hsin-Chu City to join AHP questionaire. Then this research conducts quantitative analysis through AHP. This research collects 16 bank professionals' opinions. Among 16 there are 6 Consistency Indexes higher than 0.1, so only 10 opinions are accepted. The result shows 3 main factors in loan evaluation: industrial evaluation, financial analysis and loan evaluation (listed in order). Besides, among overall criteria, the most important 5 are expansion of competitors' factory, ability to raise fund, quick ratio, new application, and collateral. This research proposes the following 4 suggestions: 1. Bank should ask professional industrial research institute for DRAM industrial evolution to reduce the credit risk. 2. The ability to raise fund is relevant to whether DRAM companies could get through the recession. Recent cash flow should be paid attention to. 3. The feasibility of capital expenditure plan should be evaluated as project finance and financial planning should be conducted with sensitivity analysis. 4. Risk cost should be considered when setting DRAM loan rate. Ensure return is consistent with the risk.