A Mixed Multiple Attribute Decision Making Modelfor the Analysis of the Key Factors of Supply Chain Agility

• Main Authors: Ting-Wei Liu, 劉庭瑋
• Other Authors: 張洝源
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/8f9574

碩士 === 國立虎尾科技大學 === 工業管理系工業工程與管理碩士班 === 104 === Supply chain management has become increasingly popular in every industry. In the face of the rapidly changing market and global competition, companies must have great agility, so as to survive in the highly competitive and volatile environment. The purpose of this study is to explore the key criteria that influence the performance of supply chain agility. In this study, fifty TSEC-listed and OTC-listed consumer electronics companies are selected as the research subjects, and the mixed multi-attribute decision-making mode is used to analyze the key factors in supply chain agility. This study was based on the relevant literature, and the factors of supply chain agility were compiled using expert questionnaire. The obtained important factors were used to assess the degree of importance and performance of enterprise''s agility factors, and then the interactive relations among the factors were considered, to effectively analyze the impact of these factors on the performance of agility. First, the Fuzzy Delphi Method (FDM) was used for agility factors screening. Second, the fuzzy theory was adopted to determine the weight values of criteria and the assessed values of performances. Next, the Decision Making Trial and Evaluation Laboratory (DEMATEL) was used to explore the interactive relations among the factors, to calculate the total weight matrix. Then, the Gray Relational Analysis (GRA) was conducted to evaluate the performances, and the factors were classified according to their ranking by performances, to act as the decision variables in Rough Set Theory (RST). Finally, the key agility factors were analyzed based on the Rough Set Theory. This study concluded that the most critical factors in the performance of agility are as follows: (1) electronize the shipment of finished products, to allow the orders to complete shipments and adjust the shipping level; (2) display the gap between customer demand and production in real-time; (3) understand and meet customer requirement; (4) effectively manage materials, production and storage using information systems; (5) have a good interactive relationship with customers; (6) bring teamwork and performance into full play; (7) establish long-term cooperation partnership with suppliers. Among them, the (1), (2), and (4) belong to the information technology dimension, showing that companies must wisely use information technology for the management of supply chain agility, to improve the performance of the management of the supply chain agility. KEYWORDS：Agility, Fuzzy theory, Fuzzy Delphi Method, Decision Making Trial and Evaluation Laboratory , Gray Relational Analysis, Rough Set Theory