| Summary: | 碩士 === 國立勤益技術學院 === 工業工程與管理系 === 92 === As economic environment and industrial structure changing rapidly, the frequency of product demands increase immensely too. To accomplish the great amount of orders, industries have to expand their plants accordingly, integrate the internal resources, or integrate with others to meet the demands from the customers. As a result, the multi-site production planning is ultimately required.
When a company receives large quantity of orders, the most important issue is to satisfy the requirement under the limit of production resource. At the same time, how to allocate orders between multi-sites and how to make sure the allocation can gain more profit become a very important topic for a company which has more than one site.
This research focuses on the order allocation issue. As the company may manufacture different products in planning phase, this study proposes mathematic programming and construct the strategic model for orders allocation with imitate of the combination of capacity constraint, minimum cost, and complex orders.
The objective of this math programming is to minimize the total cost which includes operation cost, setup cost, transportation cost and the penalty cost of order delay. A proposed strategic decision model will incorporate with the traditional dispatching rules, EDD, SPT and LPT, these rules are used to dispatch the job orders for two stages of production planning. Finally, this study will evaluate the performance of this programming model based upon these three dispatching rules and the optimal one will be verified.
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