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Article


Title

A Novel Fuzzy-Based VIKOR–CRITIC Soft Computing Method for Evaluation of Sustainable Supply Chain Risk Management

Authors

[ 1 ] Instytut Logistyki, Wydział Inżynierii Zarządzania, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[5.6] Management and quality studies

Year of publication

2022

Published in

Sustainability

Journal year: 2022 | Journal volume: vol. 14 | Journal number: iss. 5

Article type

scientific article

Publication language

english

Keywords
EN
  • fuzzy sets
  • soft computing
  • VIKOR
  • CRITIC
  • sustainable supply chain
  • risk management
Abstract

EN This article aims to evaluate sustainable supply chain risks using a novel fuzzy VIKOR–CRITIC technique. The research contributions of this study are twofold. First and foremost, this is the first attempt to integrate the fuzzy VIKOR approach with the CRITIC method in order to eradicate the inadequacies of the VIKOR method. Second, this is the first study to look at the sustainable supply chain risk management in Pakistan’s logistics industry. Four logistics companies were chosen for the study, and thirty criteria were established and divided into four categories using acquired data and literature studies. According to the findings, organizational risks are the most important to consider, whereas environmental hazards have the least influence. Supply delays, freight rate/oil price fluctuations, bankruptcy, and natural catastrophe are the four most important criteria in these categories. Limited suppliers, cargo tracking, IT system failure, and international politics are the four least significant criteria in the four risk categories. The findings are useful for the logistics industry operating in CPEC for risk mitigation and sustainable operation. The research may be used as a guideline for risk identification and management by practitioners and decision-makers in Pakistani logistics organizations.

Date of online publication

28.02.2022

Pages (from - to)

2827-1 - 2827-17

DOI

10.3390/su14052827

URL

https://www.mdpi.com/2071-1050/14/5/2827

Comments

Article number: 2827

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Release date

28.02.2022

Date of Open Access to the publication

at the time of publication

Points of MNiSW / journal

100.0

Impact Factor

3.251 [List 2020]

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