Keep Your Friends Close? Supply Chain Design and Disruption Risk

被引:97
作者
Habermann, Marco [1 ]
Blackhurst, Jennifer [2 ]
Metcalf, Ashley Y. [1 ]
机构
[1] Ohio Univ, Dept Management, Coll Business, Athens, OH 45701 USA
[2] Iowa State Univ, Dept Supply Chain & Informat Syst, Coll Business, Ames, IA 50011 USA
关键词
Supply Chain Design; Supply Chain Disruption Survey Research; Supply Chain Risk Management; IMPACT; MANAGEMENT; PERFORMANCE; RESILIENCE; COMPLEXITY; MITIGATION; STRATEGIES; CLUSTERS; COSTS; TESTS;
D O I
10.1111/deci.12138
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In this article, we evaluate the relationship between supply chain design decisions and supply chain disruption risk. We explore two supply chain design strategies: (i) the dispersion of supply chain partners to reduce supply chain disruption risk versus (ii) the co-location of supply chain partners to reduce supply chain disruption risk. In addition, we assess supply chain disruption risk from three perspectives: the inbound material flow from the supplier (supply side), the internal production processes (internal), and the outbound material flow to the customer (customer side) as a disruption can occur at any of these locations. We measure disruption risk in terms of stoppages in flows, reductions in flow, close calls (disruptions that were prevented at the last minute), disruption duration (time until normal operation flow was restored), and the spread of disruptions all the way through the supply chain. We use seemingly unrelated regression (SUR) to analyze our data, finding that lead times, especially supply side lead times, are significantly associated with higher levels of supply chain disruption risk. We find co-location with suppliers appears to have beneficial effects to the reduction of disruption duration, and, overall supply side factors have a higher impact when it comes to supply chain disruption risk than comparable customer side factors.
引用
收藏
页码:491 / 526
页数:36
相关论文
共 91 条
[1]   Location choices across the value chain:: How activity and capability influence collocation [J].
Alcacer, Juan .
MANAGEMENT SCIENCE, 2006, 52 (10) :1457-1471
[2]   Global Dual Sourcing: Tailored Base-Surge Allocation to Near- and Offshore Production [J].
Allon, Gad ;
Van Mieghem, Jan A. .
MANAGEMENT SCIENCE, 2010, 56 (01) :110-124
[3]   The effects of technological turbulence and breadth on supply chain technology acceptance and adoption [J].
Autry, Chad W. ;
Grawe, Scott J. ;
Daugherty, Patricia J. ;
Richey, R. Glenn .
JOURNAL OF OPERATIONS MANAGEMENT, 2010, 28 (06) :522-536
[4]   Tailor-made single-item measures of doubly concrete constructs [J].
Bergkvist, Lars ;
Rossiter, John R. .
INTERNATIONAL JOURNAL OF ADVERTISING, 2009, 28 (04) :607-621
[5]   An empirically derived agenda of critical research issues for managing supply-chain disruptions [J].
Blackhurst, J ;
Craighead, CW ;
Elkins, D ;
Handfield, RB .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2005, 43 (19) :4067-4081
[6]   An Empirically Derived Framework of Global Supply Resiliency [J].
Blackhurst, Jennifer ;
Dunn, Kaitlin S. ;
Craighead, Christopher W. .
JOURNAL OF BUSINESS LOGISTICS, 2011, 32 (04) :374-391
[7]  
Bounds A., 2009, FINANC TIMES, P5
[8]   Following the thread: Industry cluster theory, the New England cotton textiles industry, and implications for future supply chain research [J].
Bozarth, Cecil ;
Blackhurst, Jennifer ;
Handfield, Robert B. .
PRODUCTION AND OPERATIONS MANAGEMENT, 2007, 16 (01) :154-157
[9]   The impact of supply chain complexity on manufacturing plant performance [J].
Bozarth, Cecil C. ;
Warsing, Donald P. ;
Flynn, Barbara B. ;
Flynn, E. James .
JOURNAL OF OPERATIONS MANAGEMENT, 2009, 27 (01) :78-93
[10]   The organizational antecedents of a firm's supply chain agility for risk mitigation and response [J].
Braunscheidel, Michael J. ;
Suresh, Nallan C. .
JOURNAL OF OPERATIONS MANAGEMENT, 2009, 27 (02) :119-140