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Sustainability 2017, 9(2), 255;

Evaluating Resiliency of Supply Chain Network: A Data Envelopment Analysis Approach

Graduate School of Logistics, INHA University, Incheon 22212, Korea
LAMIH UMR CNRS 8201, UVHC, Le Mont Houy, 59313 Valenciennes Cedex 9, France
Author to whom correspondence should be addressed.
Academic Editor: Marc A. Rosen
Received: 17 November 2016 / Revised: 6 February 2017 / Accepted: 8 February 2017 / Published: 11 February 2017
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Supply chains can be vulnerable to sudden disruptions, especially when it emphasizes efficient operation. In this regard, supply chain resilience (SCR) has received attention recently to cope with disruptions and improve competitiveness. This paper presents a novel methodology to measure resilience between different configurations of a supply chain network (SCN), based on a number of influential factors. For this reason, data envelopment analysis (DEA) is employed to identify the best-practice and less-performing SCN configurations among a group of alternatives. On this basis, the extent to which a current configuration can improve its resiliency is also measured. The methodology is applied to the case of E1, a liquefied petroleum gas (LPG) company in Korea. Topological and operational measures were used as variables to assess resilience. The results suggest that the LPG supply chain in the case study requires an addition in the number and capacity of supply nodes in its network. View Full-Text
Keywords: resiliency; supply chain network; data envelopment analysis; vulnerability resiliency; supply chain network; data envelopment analysis; vulnerability

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Pourhejazy, P.; Kwon, O.K.; Chang, Y.-T.; Park, H.K. Evaluating Resiliency of Supply Chain Network: A Data Envelopment Analysis Approach. Sustainability 2017, 9, 255.

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