Supplier risk assessment and monitoring for the automotive industry

被引:145
作者
Blackhurst, Jennifer V. [1 ]
Scheibe, Kevin P. [1 ]
Johnson, Danny J. [1 ]
机构
[1] Iowa State Univ, Logist Operat & MIS Dept, Coll Business, Ames, IA 50011 USA
关键词
Supplier chain management; Risk assessment; Supplier relations; Risk management; Automotive industry; United States of America;
D O I
10.1108/09600030810861215
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Purpose - This research aims to develop a supplier risk assessment methodology for measuring, tracking, and analyzing supplier and part specific risk over time for an automotive manufacturer Design/methodology/approach - Supply chain risk literature is analyzed and used in conjunction with interviews from the automotive manufacturer to identify risks in the supply base These risks are incorporated into the development of a temporal risk assessment and monitoring system Findings - A framework of risk factors important to the auto manufacturer is presented A multi criteria scoring procedure is developed to calculate part and supplier risk indices These indices are used in the development of a risk assessment and monitoring system that allows the indices to be tracked over time to identify trends towards higher risk levels Research limitations/implications - There are a number of operational issues identified in the paper that could be investigated in future research One such issue is the development of alternative risk assessment methods that would increase the sensitivity of the risk analysis Practical implications - The framework is implementable in firms interested in understanding and controlling risk in their supply base The research stems from an industry project with an automotive manufacturer The method is designed to be practical and easy to implement and maintain The system also has a visual reporting mechanism designed to provide early warning signals for potential problems in the supply base and to show temporal changes in risk Originality/value - This paper presents a dynamic risk analysis methodology that analyzes and monitors supplier risk levels over tune
引用
收藏
页码:143 / 165
页数:23
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