Supplier Selection Model Construction—Time Windows of Transportation and Uncertainty of Supplier Risk

• Main Authors: Shao-Ming Chang, 張韶銘
• Other Authors: 王河星
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/6adqn2

碩士 === 國立臺北科技大學 === 工業工程與管理系碩士班 === 100 === Establishing central competitiveness of supply chain is an issue strongly emphasized by enterprises. Among them, the supplier selection plays a key role. The suitable supplier will noticeably the reduce cost of production and promote Level of customer service. Therefore, this thesis studies the supplier selection problem with considering the assembly sequence planning, assembly line balancing problem, uncertainty of supplier risk, and also at transportation time of evaluation criterion to join time window constraints. The importance emphasized to assemble center to produce as scheduled, besides avoid delaying the customer''s date of delivery. This research develops a robust optimization mode, in order to solve the uncertainty of supplier risk of supplier selection problem in multi-stage supply chains. In addition, this text also puts forth the integration genetic algorithm to solve robust optimization mode. For identifying it solves of performance, these researches proposed of the algorithm have been already known with other two and better algorithm does the comparison of case substantial evidence usefulness currently. In the end, put forth the robust price analyzes. With this the study protective level and robust price both of relation. Besides, the result of robust optimization mode and determinism mode compares an investigation. Provide if the decision maker decision carries out the necessity of robust plan.