EURO 2024 Copenhagen
Abstract Submission

EURO-Online login

46. A Comprehensive Model for Supply Chain Resilience Measuring

Invited abstract in session TB-44: MCDA applications, stream Multiple Criteria Decision Analysis.

Tuesday, 10:30-12:00
Room: 20 (building: 324)

Authors (first author is the speaker)

1. Chien-Wen Chen
Business Administration, Feng Chia University
2. Ching-Torng Lin
Information Management, Dayeh University

Abstract

Business globalization and strategic sourcing have made supply chain networks become length and complex, which have increased it more vulnerable and uncertain to disruptions. Geographical wars, such as the Russia–Ukraine war, have shown the disruptive effect of these catastrophes, which inspires me to think that traditional supply chain management fails to cope with such disruption challenges. To address these current and potentially future challenges, scholars and practitioners suggested that supply chain management must incorporate resilience, robustness, and risk management capability. There are several approaches to assessing a resilient supply chain. Due to the ambiguity of resilience assessment, most measures are described subjectively using linguistic terms. Abandon the traditional way of assessing resilience, this paper develops a Fuzzy Resilience Index in Supply Chain (FRISC) to measure the level of supply chain resilience. The FRISC comprises attribute ratings and corresponding weights and is aggregated by a fuzzy weighted average. Finally, an example is presented at the end of the paper to illustrate the procedure of the proposed method. The results show that the proposed model can provide more meaningful results to the analyst and can efficiently assist managers in dealing with both ambiguity and complexity in supply chain resilience auditing.

Keywords

Status: accepted

Back to the list of papers