多產品共同料件之供應量配置模式開發

Developing a Supply-Quantity Allocation Model for Production Planning with Common Parts

許仲廷(Chung-Ting Hsu)

指導教授 ： 王河星

國立臺北科技大學/管理學院/工業工程與管理研究所/碩士(2007年)

摘要

多角化經營已經是現今企業不可或缺的營運模式，如何在供應商的產能限制下，決定出最適的產能分配以減少企業的總營運成本，已經成為各個企業在生產多項產品時所面對的主要問題。此外，在製造多項產品時，由於共同零件的需求量大且適用於各種不同產品上，故企業會特別著重於共同零件的採購，以選擇出最適合於生產時各零件的最高品質及最少時間、成本的零件供應商，以減少企業在營運成本上的支出。
本研究首先將透過物料清單(Bill Of Material; BOM)進行各項產品的零件展開並建構出一套符合多階產品零件的數學模式，以評估各個零件之間的組裝關係並利用之間的關連性建構出評選多項產品中，共同零件的供應商選擇，並且在供應商的產能受限下，透過基因演算法(Genetic Algorithm; GA)挑選出最佳的特定共同零件之供應商組合。進而使現今在多角化市場中的企業能對於其共同料件之選購與評估有一個依據，並成為未來篩選供應商評選的一般準則，也將此系統的概念結合不同廠商的特性，作為企業決策者的主要依據來源，以輔助決策者快速且精確地獲得最佳供應商的採購資訊。

關鍵字

共同料件 ； 資源有限 ； 供應商評選 ； 基因演算法

並列摘要

Diversified bussiness has become operating mode indispensable to current enterprises. With limited capacity of suppliers, how to reduce the total operating cost of the enterprise by determining the most suitable production capacity allocation has become the major issue faced by various enterprises in producing multiple types of products. In addition, when manufacturing multiple types of products, due to the high demand of common and non-common parts, which is applicable to various products, enterprises will place special emphasis on the procurement of common and non-common parts, to select most suitable suppliers of parts with the highest quality and minimum time and costs, in order to cut down on operating costs of enterprises. This research first lists parts of various products through Bill Of Material (BOM), and constructs an optimal mathematical model suitable for multi-phase products’ parts, in order to assess the assembling relationship of various parts; it makes use of the linkage among those to select the supplier of common and non-common parts when assessing multiple products. Then considering the limited production capacity of suppliers, it selects the best combination of suppliers of special common and non-common parts. To slove the optimal mathematical model, a Genetic Algorithm (GA) is proposed to find the acceptable results of the supply selection and quantity allocation problem. It then provides a benchmark for enterprise in current diversified market to purchase and assess common and non-common parts, and makes such benchmark a normal standard for selection of suppliers in the future. Such standard serves as the major reference source for decision-makers of enterprises, assisting decision-makers in acquiring the purchase information of best suppliers promptly and precisely.

並列關鍵字

Common Part ； Limited Resource ； Selection of Supplier ； Genetic Algorithm

參考文獻

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