Applying Fuzzy Multicriteria Decision-Making for Evaluating ERP System Development Methods and Implementation Strategies

• Main Authors: Chun-Yen Ho, 何俊彥
• Other Authors: Tien-Chin Wang
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/42461480792311677969

碩士 === 義守大學 === 資訊管理學系碩士班 === 94 === 21 centuries is a new century that enterprises are facing a swift speed of changes. The Internet revolution has triggered the competition of utilizing time and space, that forcing enterprises have no choice but to squarely face such issues of global competition, division of labor among nations and the multinational operation. Thoroughly grasping information both inside and outside the organization and quickly adjusting the intension of organization may become the key point for breaking through siege to survive. In order to fulfill such needs, the implementation of ERP systems can be the cornerstone for enterprise’s sustainable development. Although many organizations have implementing various ERP systems, greatly parts of enterprises still be learning how to fully develop the capability of ERP systems, or even face embarrassing situation of failing the implementation. To probe these problems, many reasons related to the complexity of ERP systems, enterprise scales, business process, organization cultures and consulting firms. This research concentrates on the construction of the best implementing model of ERP system, reducing various risks and obstacles within the implementing process period, making enterprise take advantages of ERP systems. After collecting the ERP experts experience and standpoints by means of the questionnaire, this research applies the fuzzy multicriteria decision-making(FMCDM) to evaluate ERP systems development methods and implementation strategies, and further constructs the best model for enterprises to implement ERP systems in order to provide enterprises a reference resource for future implementing. In addition, because of realizing in the real decision environment that qualitative and quantitative data could not coexist and full of fuzziness and uncertainty, this research integrates fuzzy logic and multicriteria decision-making to develop Fuzzy VIKOR methodology and Fuzzy PROMETHEE methodology. Those methodologies can properly mediate the conflicts and contradictions during the decision-making process, effectively act in response to the lack of flexibility while adopting traditional multicriteria decision-making to deal with fuzzy problems and benefits in multicriteria group decision-making analysis for extensive application.