Improving supply chain performance management: A systematic approach to analyzing iterative KPI accomplishment

被引：185

作者：

Cai, Jian ^{[2
]}

Liu, Xiangdong ^{[1
]}

Xiao, Zhihui ^{[1
]}

Liu, Jin ^{[1
]}

机构：

[1] Peking Univ, Dept Management Sci & Informat Syst, Guanghua Sch Management, Beijing 100871, Peoples R China

[2] Peking Univ, Coll Engn, Guanghua Sch Management, PIER Inst, Beijing 100871, Peoples R China

来源：

DECISION SUPPORT SYSTEMS | 2009年 / 46卷 / 02期

关键词：

Performance improvement; Supply chain management; Key performance indicator (KPI); KPI accomplishment; KPI cost transformation matrix (PCTM); DECISION-MAKING; MODEL;

D O I：

10.1016/j.dss.2008.09.004

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

improving supply chain performance has become one of the critical issues for gaining competitive advantages for companies. This paper proposes a framework using a systematic approach to improving the iterative key performance indicators (KPIs) accomplishment in a supply chain context. The proposed framework quantitatively analyzes the interdependent relationships among a set of KPIs. It can identify crucial KPI accomplishment costs and propose performance improvement strategies for decision-makers in a supply chain. A scenario of a large retail company is also discussed to explain the application of this framework. Crown Copyright (C) 2008 Published by Elsevier B.V. All rights reserved.

引用

页码：512 / 521

页数：10

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