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<p>Multi-criteria decision making (MCDM) is a branch of operations research that focuses on evaluating and ranking alternatives based on multiple conflicting criteria reflecting the decision makers’ preferences. Among numerous MCDM techniques, Best–Worst Method (BWM) has gained prominence for its reliability in eliciting preferences using two reference points, i.e. the best and the worst criteria. This dual-reference approach enables pair-wise comparisons, reducing biases, such as anchoring that often affects judgment. This paper presents a systematic literature review which categorizes and interprets the current research trend on BWM from year 2015 to August 2025, encompassing 1074 articles categorized into 13 application areas. It investigates the publication trend, and bibliometric and network analyses of various application areas of BWM. Besides the nonlinear model, it also discusses other BWM developments, like linear, multiplicative, Bayesian, trade-off and parsimonious BWM. It is noticed that BWM has been extensively applied in fuzzy environments to deal with uncertainty and hybridized with other MCDM techniques for broader real-world applicability. The top three application areas have been identified as supplier and location selection, supply chain and transportation, and healthcare. Overall, this literature review would provide a valuable resource for the academicians and practitioners, highlighting current trends and potential areas for future research.</p>

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One decade of progress in best–worst method of decision making: a systematic review

  • 期刊论文

  • 发表日期：

    2026年4月7日

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  • Neha Choudhary,
  • Abhijit Majumdar,
  • Shankar Chakraborty

摘要

Multi-criteria decision making (MCDM) is a branch of operations research that focuses on evaluating and ranking alternatives based on multiple conflicting criteria reflecting the decision makers’ preferences. Among numerous MCDM techniques, Best–Worst Method (BWM) has gained prominence for its reliability in eliciting preferences using two reference points, i.e. the best and the worst criteria. This dual-reference approach enables pair-wise comparisons, reducing biases, such as anchoring that often affects judgment. This paper presents a systematic literature review which categorizes and interprets the current research trend on BWM from year 2015 to August 2025, encompassing 1074 articles categorized into 13 application areas. It investigates the publication trend, and bibliometric and network analyses of various application areas of BWM. Besides the nonlinear model, it also discusses other BWM developments, like linear, multiplicative, Bayesian, trade-off and parsimonious BWM. It is noticed that BWM has been extensively applied in fuzzy environments to deal with uncertainty and hybridized with other MCDM techniques for broader real-world applicability. The top three application areas have been identified as supplier and location selection, supply chain and transportation, and healthcare. Overall, this literature review would provide a valuable resource for the academicians and practitioners, highlighting current trends and potential areas for future research.