A Novel Approach for Group Decision Making Based on the Best–Worst Method (G-BWM): Application to Supply Chain Management
Due to the complexity of real-world multi-criteria decision-making (MCDM) issues, analyzing different opinions from a group of decision makers needs to ensure appropriate decision making. The group decision-making methods collect preferences of the decision makers and present the best preferences us...
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MDPI AG
2021-08-01
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Online Access: | https://www.mdpi.com/2227-7390/9/16/1881 |
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author | Gholamreza Haseli Reza Sheikh Jianqiang Wang Hana Tomaskova Erfan Babaee Tirkolaee |
author_facet | Gholamreza Haseli Reza Sheikh Jianqiang Wang Hana Tomaskova Erfan Babaee Tirkolaee |
author_sort | Gholamreza Haseli |
collection | DOAJ |
description | Due to the complexity of real-world multi-criteria decision-making (MCDM) issues, analyzing different opinions from a group of decision makers needs to ensure appropriate decision making. The group decision-making methods collect preferences of the decision makers and present the best preferences using mathematical equations. The best–worst method (BWM) is one of the recently introduced MCDM methods that requires fewer pairwise comparisons to obtain the criteria weights than the other MCDM methods. In this research, we develop a novel approach to group decision-making problems based on the BWM called G-BWM. This approach helps us to analyze the preferences of decision makers to carry out democratic decision making using the BWM structure. In order to assess the applicability of the proposed methodology and represent its novelty, two numerical examples from the literature with the application to supply chain management (SCM) (i.e., green supplier selection and supplier development/segmentation) are examined and discussed. The results demonstrate the performance of our proposed G-BWM for group decision making in terms of a large number of decision makers, ease of use and achieving democratic decisions in the decision-making process. |
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format | Article |
id | doaj.art-3527883c86e0412ba97683a2ee67481c |
institution | Directory Open Access Journal |
issn | 2227-7390 |
language | English |
last_indexed | 2024-03-10T08:37:53Z |
publishDate | 2021-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Mathematics |
spelling | doaj.art-3527883c86e0412ba97683a2ee67481c2023-11-22T08:33:18ZengMDPI AGMathematics2227-73902021-08-01916188110.3390/math9161881A Novel Approach for Group Decision Making Based on the Best–Worst Method (G-BWM): Application to Supply Chain ManagementGholamreza Haseli0Reza Sheikh1Jianqiang Wang2Hana Tomaskova3Erfan Babaee Tirkolaee4School of Industrial Engineering and Management Sciences, Shahrood University of Technology, Shahrood 3619995161, IranSchool of Industrial Engineering and Management Sciences, Shahrood University of Technology, Shahrood 3619995161, IranSchool of Business, Central South University, Changsha 410083, ChinaFaculty of Informatics and Management, University of Hradec Kralove, 50003 Hradec Kralove, Czech RepublicDepartment of Industrial Engineering, Istinye University, Istanbul 34010, TurkeyDue to the complexity of real-world multi-criteria decision-making (MCDM) issues, analyzing different opinions from a group of decision makers needs to ensure appropriate decision making. The group decision-making methods collect preferences of the decision makers and present the best preferences using mathematical equations. The best–worst method (BWM) is one of the recently introduced MCDM methods that requires fewer pairwise comparisons to obtain the criteria weights than the other MCDM methods. In this research, we develop a novel approach to group decision-making problems based on the BWM called G-BWM. This approach helps us to analyze the preferences of decision makers to carry out democratic decision making using the BWM structure. In order to assess the applicability of the proposed methodology and represent its novelty, two numerical examples from the literature with the application to supply chain management (SCM) (i.e., green supplier selection and supplier development/segmentation) are examined and discussed. The results demonstrate the performance of our proposed G-BWM for group decision making in terms of a large number of decision makers, ease of use and achieving democratic decisions in the decision-making process.https://www.mdpi.com/2227-7390/9/16/1881multi-criteria decision makinggroup decision makingbest–worst methodG-BWMsupply chain management |
spellingShingle | Gholamreza Haseli Reza Sheikh Jianqiang Wang Hana Tomaskova Erfan Babaee Tirkolaee A Novel Approach for Group Decision Making Based on the Best–Worst Method (G-BWM): Application to Supply Chain Management Mathematics multi-criteria decision making group decision making best–worst method G-BWM supply chain management |
title | A Novel Approach for Group Decision Making Based on the Best–Worst Method (G-BWM): Application to Supply Chain Management |
title_full | A Novel Approach for Group Decision Making Based on the Best–Worst Method (G-BWM): Application to Supply Chain Management |
title_fullStr | A Novel Approach for Group Decision Making Based on the Best–Worst Method (G-BWM): Application to Supply Chain Management |
title_full_unstemmed | A Novel Approach for Group Decision Making Based on the Best–Worst Method (G-BWM): Application to Supply Chain Management |
title_short | A Novel Approach for Group Decision Making Based on the Best–Worst Method (G-BWM): Application to Supply Chain Management |
title_sort | novel approach for group decision making based on the best worst method g bwm application to supply chain management |
topic | multi-criteria decision making group decision making best–worst method G-BWM supply chain management |
url | https://www.mdpi.com/2227-7390/9/16/1881 |
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