在分工運作的供應鏈上下游廠商間,如何以雙方最有利的情況下合作,將決定公司間的營運績效。本研究以上游對下游公司的角度為軸,研發與製造產業用各種電腦系統模組化產品之科技公司為例,共分為兩階段進行分析,目的是希望能藉此增加供應鏈上下游的營運績效。 第一階段以個案公司提供之屬性以及權重安排進行數量分析,以評比結果給予各供應商優劣排序,並比較方法之間的差異性。再以DEA-Solver軟體提供之理想值與改進量加以計算,給予改進方向與幅度建議。第二階段探討過去供應商評比文獻,利用個案廠商主管意見以及Kano二維模式挑選出7項供應商評比屬性及權重分配,再進行數量分析以及改進方向與幅度建議。結果發現兩階段下,以簡單加權法(simple additive weight, SAW)與層級加權法(hierarchical additive weighting method)評比之結果最為一致。最後,以重要度─績效分析(importance-performance analysis, IPA)檢視各供應商在每個屬性上的優劣勢程度,以IPA矩陣提出供應商在各屬性上的相關策略制定與改進建議,希望能藉此增加供應鏈上下游的營運績效。
A supply chain involves a number of upstream and downstream units. How does such unit cooperate with each other to acquire maximum benefits is a vital issue related to operations performance of not only the whole supply chain system but also all individual units. By a case study of a technology company whose main activities are research, development and manufacture of a variety of modular computer system products, the study is undertaken in two stages to explore the topic in detail. In the first stage, the attributes and the weights provided by the technology company are analyzed quantitatively. Using the results to give the supplier sequence, and compare their difference. Based on the “projection” and “difference” values derived from DEA-Solver software calculation, the study gives some suggestions about performance improvement direction and magnitude. The second stage employs technology company director opinion and Kano Model to select 7 supplier attributes and weights after the supplier performance evaluation literature review, to conduct quantitative analysis, and to give the recommendations of performance improvement direction and magnitude. The interim result reflects that the most significant consistency appears between the consequence of simple additive weighting method and that of hierarchical additive weighting method. Finally, combining Kano Model with Importance-Performance Analysis, the study examines the advantages and disadvantages of every attribute for all suppliers, and then points out some instructions following Importance-Performance Analysis matrix for suppliers to formulate supply chain strategies. The study looks forward to raise the operations performance of the upstream-downstream linked supply chain.