Developing supply chain resilience: a robust multi-criteria decision analysis method for transportation service provider selection under uncertainty

IF 3 Q2 OPERATIONS RESEARCH & MANAGEMENT SCIENCE

International Journal of Management Science and Engineering Management Pub Date : 2022-07-10 DOI:10.1080/17509653.2022.2098543

Amir Karbassi Yazdi, A. Mehdiabadi, P. Wanke, Nazli Monajemzadeh, H. Correa, Yongbin Tan

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引用次数: 11

Abstract

ABSTRACT This study examines critical success factors (CSFs) for supply chain resilience regarding the selection of transportation service providers. Due to extensive global sourcing, many companies are dependent on multiple suppliers and service providers. Using a Delphi approach, this article identifies the CSFs relevant to the resilience of transportation service providers in supply chains. A novel approach using Multiple Criteria Decision-Analysis (MCDA) is then developed to rank a group of CSFs. In particular, the Best-Worst Method (BWM) and Multi-attributive Border Approximation Area Comparison (MABAC) methods are used to rank resilience-related CSFs for transportation service providers in uncertain environments using Hesitant Fuzzy Sets (HFS). Based on our results, hybrid MCDA methods can be applied in order to develop an effective method for determining resilience-related CSFs when selecting transportation service providers in uncertain environments.

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发展供应链弹性：一种不确定条件下运输服务提供商选择的稳健多准则决策分析方法

摘要本研究考察了运输服务提供商选择中供应链弹性的关键成功因素。由于广泛的全球采购，许多公司依赖于多个供应商和服务提供商。使用德尔菲方法，本文确定了与供应链中运输服务提供商的弹性相关的CSF。然后，开发了一种使用多准则决策分析（MCDA）对一组CSF进行排序的新方法。特别地，最佳-最差方法（BWM）和多属性边界近似区域比较（MABAC）方法用于使用犹豫模糊集（HFS）对不确定环境中运输服务提供商的弹性相关CSF进行排名。基于我们的结果，在不确定环境中选择运输服务提供商时，可以应用混合MCDA方法来开发一种确定弹性相关CSF的有效方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Management Science and Engineering Management OPERATIONS RESEARCH & MANAGEMENT SCIENCE-

CiteScore

8.50

自引率

33.30%

发文量

期刊介绍： International Journal of Management Science and Engineering Management (IJMSEM) is a peer-reviewed quarterly journal that provides an international forum for researchers and practitioners of management science and engineering management. The journal focuses on identifying problems in the field, and using innovative management theories and new management methods to provide solutions. IJMSEM is committed to providing a platform for researchers and practitioners of management science and engineering management to share experiences and communicate ideas. Articles published in IJMSEM contain fresh information and approaches. They provide key information that will contribute to new scientific inquiries and improve competency, efficiency, and productivity in the field. IJMSEM focuses on the following: 1. identifying Management Science problems in engineering; 2. using management theory and methods to solve above problems innovatively and effectively; 3. developing new management theory and method to the newly emerged management issues in engineering; IJMSEM prefers papers with practical background, clear problem description, understandable physical and mathematical model, physical model with practical significance and theoretical framework, operable algorithm and successful practical applications. IJMSEM also takes into account management papers of original contributions in one or several aspects of these elements.