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

Authors:
Jian Cai;Xiangdong Liu;Zhihui Xiao;Jin Liu
Affiliations:
PIER Institute, College of Engineering, Guanghua School of Management, Peking University, Beijing, PR China;Department of Management Science and Information Systems, Guanghua School of Management, Peking University, Beijing, PR China;Department of Management Science and Information Systems, Guanghua School of Management, Peking University, Beijing, PR China;Department of Management Science and Information Systems, Guanghua School of Management, Peking University, Beijing, PR China
Venue:
Decision Support Systems
Year:
2009

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Abstract

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.