多廠區生產系統之訂單分配模式--以液晶顯示器產業為例

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Title:	多廠區生產系統之訂單分配模式--以液晶顯示器產業為例
Other Titles:	An Order Allocation Model in a Multiple Site LCD Manufacturing Industry
Authors:	王世欽 Wang, Shih-Chin
Contributors:	王立志 Wang, Li-Chih 東海大學工業工程與經營資訊學系
Keywords:	供應鏈規劃;多廠區產銷平衡;基因演算法;限制條件滿足技術 Supply Chain Planning;Multi-site Supply and Demand Balancing;Genetic Algorithm(GA);Constraint Satisfaction Technique(CST)
Date:	2002
Issue Date:	2011-05-19T05:14:33Z (UTC)
Abstract:	面對全球市場的不景氣，高科技產業面臨到整個供應鏈上產銷失調的窘境，所以導入供應鏈規劃的資訊系統已經刻不容緩。由於不同工廠之間，其生產流程的相互依賴性是很複雜的，過去解決多廠區訂單分配問題，最常用的方法為線性規劃及啟發式（heuristics）演算法。若使用線性規劃來解決此類問題，一旦限制條件過多且變數過於複雜，將很難有效益的獲得合理解的規劃；若利用簡單的啟發式法則，往往又無法同時考量企業的資源限制及解決成本最佳化的問題。有鑑於此，本論文將提出以產銷平衡（supply-demand balancing）為考量基礎之訂單分配最佳化的決策模式，供業界做為參考，進而減少銷售與生產之間的失調。研究目的可歸納如下：（1）提出應用於台灣產業之多廠區生產系統下產銷平衡的規劃邏輯。（2）針對多廠區生產環境的特性，發展產銷平衡的訂單分配模式。（3）實作出多廠區生產系統下產銷平衡訂單分配系統。整體而言，本論文運用了基因演算法之最佳化搜尋的特性，同時考量限制條件滿足技術利用縮小搜尋解空間（solution space），進一步發展出能快速求解且兼具有最佳化搜尋能力的訂單分配演算法。最後，我們亦將應用本論文所發展的產銷平衡訂單分配模式於台灣LCD產業，以驗證並評估其效益。 Due to the trend of global marketing and competition, the implementation of supply chain planning is timing and necessary. For an enterprise with multiple manufacturing factories, the production flow among different factories are highly dependent and complicated, mathematical planning and heuristics approaches are usually employed. However, it is very difficult to effectively obtain a feasible supply plan once there are too many constraints and the relationships are too complicated. If simple heuristic rules are employed, many enterprise resource constraints and cost issues cannot be concerned. Therefore, the objective of this research is to develop an order allocation decision model, to maintain the supply (i.e., material and capacity) and demand (customer and forecast orders) balance in a multi-site manufacturing environment. In other words, the objectives of this research are: (1) To develop a supply and demand balancing process/logic which will consider the characteristics of Taiwan’s industry with multiple manufacturing factories. (2) To develop an order allocation decision model which can maintain the supply (i.e., material and capacity) and demand (customer and forecast orders) balance in a multi-site manufacturing environment. (3) To develop the order allocation system based on the model proposed in this research. In summary, this research will first survey the literature of supply chain planning and multi-site production systems, then develop a supply and demand balancing process/logic. Consequently, an order allocation decision model which takes into account important enterprise resource constraints and cost issues will be developed. In this research, a constraint-based genetic algorithm for the order allocation model is also developed to efficiently and effectively allocate orders in a multi-site manufacturing environment. Finally, the proposed order allocation model will be applied in a Taiwan’s LCD manufacturer to illustrate the applicability and evaluate the effectiveness of the proposed order allocation model developed in this research.
Appears in Collections:	[工業工程與經營資訊學系所] 碩博士論文

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