Abstract
In this research, a Hybrid Minkowski Consistency Operator is introduced for the application of Green Supply Chain (GSC) transportation problem based on Fuzzy Analytic Hierarchy Process (AHP)-Multi Criteria Decision Making (MCDM) techniques. Consequently, the model primarily focuses on enhancing efficiency in transportation processes within green supply chain logistics while minimizing its environmental impact. This is enabled by taking into account these multiple criteria often in conflict with one another: cost, emission, and delivery time. It combines fuzzy logic with the Hybrid Minkowski Consistency Operator for managing uncertainties that may usually come up in a real-world supply chain system, hence making the decisions more precise. This research demonstrates the proposed model's potential to produce optimal and sustainable logistics solutions, a real-case study is employed for validation. In addition, besides this optimization of transport, the paper discusses a hybrid multi-objective optimization methodology that involves Ant Colony Optimization (ANT) and Firefly Algorithm (FA). This hybrid optimization enhances overall performance in this model and provides an overall framework whereby all existing challenges are solved and a foundation for future developments is laid regarding green supply chain management.
Published Version
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