在與日俱增的競爭環境中,顧客對於製造商的回應能力、貨品品質與服務水準的要求越來越高,企業為能達到此高績效要求,必須透過上下游廠商的有效合作與訊息透通。然而,在現今供應鏈中,產品的製造過程往往需要與許多企業共同規劃生產,因此供應鏈成為錯綜複雜之網狀組織,造成企業在管理多階多廠的供應鏈時,必須考量供應鏈間各供應商的交期、產能、品質與存貨等問題,使得企業在供應鏈管理上變得相當困難,因此如何有效提升供應鏈之整體效益遂成為一重要議題。 本研究旨在探討製造商與其上游供應商群所組成的多階供應鏈環境下,以模組化概念並結合群集分析之理論方法發展一套模組化機制,將供應鏈中的供應商分群,使原本龐大的供應鏈結構發生變化,重新以一種模組化供應鏈的架構呈現之。模組化供應鏈構建之後,依據模組化後的結構發展一整數規劃模型(Integer Programming Model),以各供應商之存貨成本、缺貨成本、生產成本及延遲成本總合最小化為目標函數,求解供應鏈中各成員之最佳生產環境設計(MTS或MTO),以期盼構建出一個較強健(robust)之供應鏈規劃。
In a competitive environment, customers require high reacting ability, quality and service level from manufacturers. To reach this goal, companies and their upstream and downstream partners should cooperate well and properly maintain the information visibility. However, in the current supply chain, companies apply different production principles to interact with one another and result in a complex network. It increases the complexity to manage a multi-level and multi-factory supply chain, especially, when supplier capacity, due date, and inventory issues are considered. Therefore, how to improve the entire chain effectiveness becomes an important research topic. A multi-level supply chain formed by manufacturer and its upstream suppliers is studied in this research. The objective is to develop a mechanism to modularize suppliers into groups and a mathematical programming model to determine proper production environment of each supplier. Firstly, several clustering analysis tools and modularity concepts will be employed for the mechanism deriving. The configuration of a supply chain will change into simple and modular structure from the mechanism. Secondly, we develop an integer programming model with the objective function to minimize the overall costs for inventory, stockout, production and delivery delayed. Either a make-to-stock or a make-to-order production environment will be suggested from the mathematical model. Finally, we wish this paper does help enterprise to establish a robust supply chain design.