Analysing the Key Success Factors of Logistics Center 4.0 Implementation Using Improved Pythagorean Fuzzy DEMATEL Method

Abstract

The practical implementation of logistics center 4.0 (LC4.0) is progressively becoming crucial to logistics operations. The appropriate LC4.0 implementation can be controlled by properly analysing certain key success factors (KSFs), a complex Multi-Criteria Decision-Making problem in uncertain environments. Therefore, it is crucial to analyse the KSFs in implementing LC4.0. Previous research works barely investigated the impact on the interdependencies between KSFs of LC4.0. We improvize the Pythagorean fuzzy Decision-Making Trial and Evaluation Laboratory (PF-DEMATEL) method for GDM under uncertain and incomplete information. Our proposed research framework includes the strengths of trapezoidal pythagorean fuzzy numbers for handling fuzziness and D-Numbers for achieving a better and more accurate decision from a heterogeneous group of experts with their linguistic preferences. Moreover, it is also intelligent and adaptable in handling the inherent uncertainty due to subjective and vague information. The proposed D-number-based PF-DEMATEL model is applied to analyse the KSFs in the execution of LC4.0 and accurately represents the total impacts on each other. The validity and efficiency of the model are examined by applying it to the data obtained from the experts, followed by a comparative analysis. The result analysis will be helpful in industrial practice and academic professionals in the field and future recommendations.