An Effective Decision-Making Framework for Evaluating the Intelligent Logistics Development Scenarios Performance

Abstract

This research was conducted with the intention of determining which scenario for the
construction of an intelligent reverse logistics system had the most potential for success. This
selection would then be used as a reference point for decision-making throughout the process of
constructing environmentally friendly closed supply chains and circular economies. The research
includes the definition of four different development scenarios, each of which is then reviewed by
representatives of the key stakeholders based on a comprehensive list of eight sub-indicators that are
categorized under the four primary dimensions. In order to tackle the issue that was specified, a
brand new multi-criteria decision-making (MCDM) framework was constructed. This model
included using the Combinative Distance based Assessment (CODAS) technique in a neutrosophic
environment and applying the type-2 neutrosophic numbers (T2NNs). The utilization of the
developed framework led to the identification of the scenario that optimally reconciles the
widespread implementation of Industry 4.0 technologies with the requisite resources.