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

International Journal of Civil Engineering

© 2024 by SSRG - IJCE Journal

Volume 11 Issue 3

Year of Publication : 2024

Authors : Sachin Kumar, Sanjeev Sinha

10.14445/23488352/IJCE-V11I3P103

How to Cite?

Sachin Kumar, Sanjeev Sinha, "A Fuzzy Mixed Integer Linear Programming Approach for Reverse Logistics of Waste Plastic Recycling at Strategic Level," SSRG International Journal of Civil Engineering, vol. 11,  no. 3, pp. 30-42, 2024. Crossref, https://doi.org/10.14445/23488352/IJCE-V11I3P103

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 pollution in India and beyond.

Keywords:

Waste management, Plastic recycling, Reverse logistics, Supply chain, and Fuzzy programming.

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