A Fuzzy Mixed Integer Linear Programming Approach for Reverse Logistics of Waste Plastic Recycling at Strategic Level

Abstract

This study addresses the pressing issue of plastic waste management in India, where 3.47 million tons of plastic waste was generated in the fiscal year 2019-2020. Recognizing the complexities and uncertainties in waste plastic recycling, the research introduces a novel Fuzzy Mixed-Integer Linear Programming (Fuzzy MILP) model. The model aims to optimize the entire waste plastic recycling supply chain, considering the inherent uncertainties in recycling operations. Emphasizing the role of reverse logistics in waste management, the study builds upon established models, contributing to the field’s knowledge. The proposed strategic-level reverse logistics model seeks to minimize total costs and determine the optimal number of recycling plants, addressing the limited infrastructure in developing countries. This research provides a valuable framework for policymakers and industry stakeholders, offering sustainable solutions to mitigate the environmental impact of plastic pollut ion in India and beyond.