碩士 / 國立臺北科技大學 / 工業工程與管理研究所 / 104 / Due to technology develops quickly, the development of supply chain system is more and more greater. Then the upstream and downstream manufacturers of the supply chain have different production capacity and the cost and time of demand. Finding the optimal production plan in a short period of time is the key of keeping ahead. Considering supply chain with multi-stage, multi-period, and multi-product in the model, and it also contains economies of scale and quantity discounts which influence the total cost. In the same time, manufacturers will also have the problem of uncertainty in the process of production and transportation. The study considers the uncertainties of production quantity and transportation defect rate. The study converts the uncertainty model to the robust optimization model by robust design, and imports the concept of guidance in the same time. Then modifying non-dominated solution sorting genetic algorithm to solve the optimization model, comparing the risk burden of the decision maker at different levels of protection, and also comparing single uncertainty and dual uncertainty in order to analyze the study results.
| Identifer | oai:union.ndltd.org:TW/104TIT05117003 |
| Creators | Ting-Shuo Ma, 馬廷碩 |
| Contributors | Zhen-Hua Che, 車振華 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 0 |
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