DESIGNING A REVERSE LOGISTICS MODEL: A CASE STUDY OF PLASTIC, PAPER, AND METAL WASTE COLLECTION IN CAN THO CITY

Abstract

This study focuses on developing a recovery chain model for plastic, paper, and metal waste, determining the location of a central warehouse, and applying simulation through AnyLogic-GIS software in the recovery process. Identifying appropriate collection volumes, optimizing transportation routes, and determining the required number of transport vehicles are essential to enhance the efficiency and performance of the recovery operations. The research methodology is implemented using a multi-method approach, including data collection, field observation, and non-experimental research. Unlike traditional models that focus on individual stages, this study constructs a unified and closed-loop recovery chain from collection to recycling. It integrates operational simulation software and smart waste bins to analyze and optimize the collection process, effectively utilize the supply of plastic, paper, and metal waste, and ensure sustainability in recovery activities.