Optimal Computing Budget Allocation for Virtual Material Quality Investigation System and Bargaining Strategy

• Main Authors: Yung-LunLin, 林永倫
• Other Authors: Chia-Yen Lee
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/qgtp78

碩士 === 國立成功大學 === 製造資訊與系統研究所 === 104 === Taiwan's industrial environment gives the first place to foundry industries, and continue to face pressure on costs, oversupply and so on. In the manufacturing-related industries, quality and yield have been two of the indicators of core competence. In the case of raw material quality inspection can only be carried out after the manufacturing process, it is difficult to control the raw material quality in procurement process. The present study, uses historical data from different suppliers to investigate the quality of materials, which provides guideline for procurement optimization, and convincing force to bargain and cooperate with suppliers for cost reduction. The study presents a computational system embedded with simulation optimization of the Optimal Computing Budget Allocation and meta-heuristic algorithm, which can effectively reduce the number of trials given the stopping criteria of the running time and enhance its capability to capture the detailed characteristics of production line. The proposed model was compared with the previous literature, and the result shows that it has the better performance with at least 30% solution quality improvement and potentially 16.7% reduction of production cost.