半導體業者唯有利用企業全球化之優勢，善用產能，才能搶佔市場佔有率，在競爭激烈的商場上生存。因為要追求更高的時間效率和成本效益，全球化運籌管理已成為半導體產業的趨勢和重要的佈局準則。
就半導體廠生產的觀點，產能分派的決策取決於下列幾點：(一)複雜的產品組合；(二)工廠技術限制；(三)可用產能；(四)訂單交期；(五)生產成本；(六)生產週期時間；(七)獲益性等之考量。

本論文之焦點在於跨國多廠之生產策略與訂單分派問題，首先經由訂單管理系統，將所有客戶訂單彙整成一需求表，並考慮上述影響決策的因子，將問題分成三個階段來求解。第一階段基於設置成本與時間最小化的概念，提出一啟發式演算法，把訂單中所有種類的產品劃分為數個群組，並將製程相似的產品分為同一群。第二階段以生產成本最小化的概念，提出一混整數規劃模式，將產品群指派至各工廠生產。第三階段以單一工廠的觀點，考慮產能與交期限制，在追求四種不同的目標下，建構其相對應之數學規劃模式，以制訂生產計劃。

四種不同目標之決策模式，可用目標規劃來同時考量與區分權重，或交叉分析來衡量其優劣。

In order to occupy the market sharing and survive in the intensely competitive market, the semiconductor industries must take advantage of enterprise globalization and make good use of capacity. For attaining time efficiency and cost-effectiveness, the global logistics has become a trend and the essential configuration rule for the semiconductor industries.
In the viewpoint of semiconductor manufacturing, capacity allocation is decided by the factors listed as follows: (1)complicated product mix; (2)technology competence of factories; (3)capacity available of factories ; (4)due-date of orders; (5)production cost of factories; (6)production cycle time; (7)profitability etc.

This thesis focuses on the problem of transnational multi-plant production strategy and capacity allocation. Before the process of solving, compile all orders to a bill of requirements through order management system. Then consider the factors mentioned above to divide the problem into three phases to find the solutions. The first phase is to separate all kinds of products in the bill into several groups with manufacturing process similarity by a heuristic algorithm which based on the conception of setup cost and time minimization. The second phase is to assign the groups to the factories by a mixed integer programming model which based on the conception of production cost minimization. In order to achieve four different objectives with the constraints of capacity and due date, the third phase constructs corresponding mathematical programming models to set up production plan in the viewpoint of single factory.

We can consider four different objectives simultaneously by goal programming with corresponding weights or can compare different models by cross analysis.

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