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

被引：183
|
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
收藏
页码：512 / 521
页数：10
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