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Application of machine learning in supply chain management: a comprehensive overview of the main areas
In today's complex and ever‐changing world, concerns about the lack of enough data have
been replaced by concerns about too much data for supply chain management (SCM). The …
been replaced by concerns about too much data for supply chain management (SCM). The …
Decision-making techniques in supplier selection: Recent accomplishments and what lies ahead
Supplier selection (SS) is considered a sophisticated, application-oriented, decision-making
(DM) problem and has received considerable attention. In the past two decades, DM …
(DM) problem and has received considerable attention. In the past two decades, DM …
Analysis of Blockchain's enablers for improving sustainable supply chain transparency in Africa cocoa industry
Blockchain technology can improve supply chain transparency to solve many problems in
agricultural supply chains, such as lack of social responsibility and poor environmental …
agricultural supply chains, such as lack of social responsibility and poor environmental …
Supplier selection in sustainable supply chains: Using the integrated BWM, fuzzy Shannon entropy, and fuzzy MULTIMOORA methods
Z Shang, X Yang, D Barnes, C Wu - Expert Systems with Applications, 2022 - Elsevier
With the increasing awareness of environmental protection and social responsibility,
sustainable supplier selection (SSS) has been receiving more and more attention. However …
sustainable supplier selection (SSS) has been receiving more and more attention. However …
Analytical hierarchy process: Revolution and evolution
Abstract The Analytical Hierarchy Process (AHP) is a reliable, rigorous, and robust method
for eliciting and quantifying subjective judgments in multi-criteria decision-making (MCDM) …
for eliciting and quantifying subjective judgments in multi-criteria decision-making (MCDM) …
[HTML][HTML] A new model for determining weight coefficients of criteria in mcdm models: Full consistency method (fucom)
In this paper, a new multi-criteria problem solving method—the Full Consistency Method
(FUCOM)—is proposed. The model implies the definition of two groups of constraints that …
(FUCOM)—is proposed. The model implies the definition of two groups of constraints that …
Bayesian best-worst method: A probabilistic group decision making model
The best-worst method (BWM) is a multi-criteria decision-making method which finds the
optimal weights of a set of criteria based on the preferences of only one decision-maker …
optimal weights of a set of criteria based on the preferences of only one decision-maker …
The state-of-the-art survey on integrations and applications of the best worst method in decision making: Why, what, what for and what's next?
After the first paper regarding the Best Worst Method (BWM) was published in Omega in
2015 (J. Rezaei, Best-worst multi-criteria decision-making method, Omega 53 (2015) 49 …
2015 (J. Rezaei, Best-worst multi-criteria decision-making method, Omega 53 (2015) 49 …
A supply chain sustainability innovation framework and evaluation methodology
Sustainability is hinged on innovation. The importance of sustainable innovation
management in sustainable supply chain management (SSCM) cannot be underestimated …
management in sustainable supply chain management (SSCM) cannot be underestimated …
Fuzzy best-worst multi-criteria decision-making method and its applications
S Guo, H Zhao - Knowledge-based systems, 2017 - Elsevier
Considering the vagueness frequently representing in decision data due to the lack of
complete information and the ambiguity arising from the qualitative judgment of decision …
complete information and the ambiguity arising from the qualitative judgment of decision …