Relationship Between Supply Chain Efficiency and Key Performance Index: An Empirical Study of U Compan

• Main Authors: Tan-Chieh Wang, 王壜傑
• Other Authors: Jwu-Rong Lin
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/88611760033932112541

碩士 === 東海大學 === 管理碩士在職專班 === 100 === This research is to evaluate the performance of internal supply chain in W business group of U company, which is the single case study to adopt for this research, and to study the relationship between performance efficiency of technological development program and key performance index (abbreviated as KPI). Based on monthly data during the period of Jan'09 to Jun'11, material-reflow process among Procurement, Production and Sales Department in W business group of U company was taken to be input and output foundation. Next we adopt Network Data Envelopment Analysis (abbreviated as Network DEA) to analyze the technological performance efficiency, and adopt Pearson Correlation and Tobit regression model to analyze the relationship and impact between performance efficiency and KPI. The analysis shows that: (1) The average performance efficiency of internal supply chain in W business group of U company is 0.8637. There is roughly 14% of efficiency remained to be improved.(2) The performance efficiency of internal supply chain in W business group of U company is in the same trend with whole industrial environment. It means that internal performance efficiency will be impacted by outside environment factors. (3) Comparing to whole performance efficiency of internal supply chain, corresponded KPI - Cash Conversion Cycle has negative significant influence. Per decreasing one day of Cash Conversion Cycle, whole efficiency will increase 0.0051 accordingly. For performance efficiency of Procurement Department, corresponded KPI – goods received from vendor managed inventory sharing in whole month (abbreviated as VMI %) has positive significant influence. Per increasing 1% of VMI %, efficiency of Procurement Department will increase 0.0442 accordingly. For performance efficiency of Sales Department, corresponded KPI – revenue forecast accuracy has positive significant influence. Per increasing accuracy 1%, efficiency of Sales Department will increase 0.0093 accordingly. （4）Overall, no matter for performance efficiency of Procurement, Production, Sales Department or whole supply chain, KPI has significant influence.