Haseli, GholamrezaSheikh, RezaWang, JianqiangTomaskova, HanaTirkolaee, Erfan Babaee2021-08-272021-08-272021Haseli, G., Sheikh, R., Wang, J., Tomaskova, H., & Tirkolaee, E. B. (2021). A Novel Approach for Group Decision Making Based on the Best–Worst Method (G-BWM): Application to Supply Chain Management. Mathematics, 9(16), 1881.2227-7390https://doi.org/10.3390/math9161881https://hdl.handle.net/20.500.12713/2011Metrics Funding details Abstract Due to the complexity of real-world multi-criteria decision-making (MCDM) issues, an-alyzing 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.eninfo:eu-repo/semantics/openAccessBest–Worst MethodG-BWMGroup Decision MakingMulti-Criteria Decision MakingSupply Chain ManagementArticle916WOS:0006906476000012-s2.0-85112409992Q110.3390/math9161881Q2