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

Abstract

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.

Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic

“…Without specifically classifying supply chain resilience, but addressing themes relevant to the field, the terms Supply Chain Risk System or "SCRS" (Zeng and Yen 2017), Sustainable Supply Chain Management or "SSCM" (Sauer and Seuring 2019), Supply Chain Risk Management or "SCRM" (Kirilaz 2017; Revilla and Saenz 2017), and Supply Chain Network Design or "SCND" (Rezapour 2017) have been used. "Supply chain resilience" has been converted to the following acronyms: "SCR" Pourhejazy et al 2017), "SCRE" (Chowdhury and Quaddus 2017), and "SCRES" (Sahu et al 2017), in addition to Supply Chain Reliability and Resilience or "SCRR" (Chen et al 2017). This indicates a lack of consensus among researchers as to how to properly classify this field of study and inhibits research because common terminology is not available for comparison and dialogue.…”

Destruction Decisions for Managing Excess Inventory in E-Commerce Logistics

“…Flexibility is of particular importance in highly dynamic markets to effectively conform to the changes [38]. Given that redundant capacity improves flexibility of the operations [39], the physical limitations associated with the warehousing activities make it necessary to get rid of excess inventories to be able to respond quickly to demand surges for other products or the introduction of a new product while keeping the operational costs at its minimum.…”

Crowdsourcing for Sustainable Urban Logistics: Exploring the Factors Influencing Crowd Workers’ Participative Behavior

“…For example, as of 2019, the crowdsourcing business of Renren Express covered 92 cities, serving nearly two million merchants, and having more than ten million individual users in China [11]. In terms of sustainability within logistics more generally, Purhejazy et al [12] used data envelopment analysis to compare different configurations within supply chain management and their relative resilience. The present study contributes to improving our understanding of one aspect of this system, the use of crowdsourcing to tackle the last-mile delivery challenge.…”