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Supply chain mapping for improving “visilience”: A hybrid multi‐criteria decision making based methodology

Mubarik, Muhammad Shujaat, Khan, Sharfuddin Ahmed, Acquaye, Adolf, Mubarik, Mobashar (2023) Supply chain mapping for improving “visilience”: A hybrid multi‐criteria decision making based methodology. Journal of Multi‐Criteria Decision Analysis, . ISSN 1099-1360. (doi:10.1002/mcda.1807) (KAR id:101155)

Abstract

Supply chain mapping is gaining heightened attention due to its vital role in improving supply chain visibility and resilience. Despite its crucial role in uplifting supply chain resilience, the critical elements of supply chain mapping are yet to be determined. The study adopts a twofold approach to identify and prioritize the dimensions and sub‐dimensions of supply chain (SC) mapping. At the first stage, through an extensive review of literature, 43 sub‐dimensions of SC mapping were identified. In the second stage, Gray ‐ DEMATEL‐based Analytic Network Process (GDANP) was employed by taking the input from 25 experts selected from Oil and Gas industry of an emerging market. The findings reveal three major dimensions of SC mapping followed by 15 sub‐dimensions. Among the dimensions, upstream mapping contains the highest priority weights, followed by midstream and downstream mapping. The findings suggest a step‐wise strategy to adopt SC mapping where upstream mapping should be given the first priority. The major contribution of this study is to develop a framework for measuring the extent of SC mapping of a firm using GDANP.

Item Type: Article
DOI/Identification number: 10.1002/mcda.1807
Uncontrolled keywords: analytic network process, gray ‐ DEMATEL‐based analytic network process, gray‐DEMATEL, process mapping, supply chain mapping
Subjects: H Social Sciences > HF Commerce > HF5351 Business
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Funders: University of Kent (https://ror.org/00xkeyj56)
SWORD Depositor: JISC Publications Router
Depositing User: JISC Publications Router
Date Deposited: 19 May 2023 14:47 UTC
Last Modified: 22 May 2023 09:59 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/101155 (The current URI for this page, for reference purposes)

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