Abstract

In the reverse logistics recycling process, considering the diversity of recycling types, a variety of vehicle models are used to meet the reverse logistics recycling requirements. Therefore, this paper considers the fixed costs, transportation costs, carbon emission costs during driving, and time penalty costs in the reverse logistics process under multiple constraints such as multiple vehicle types and time windows in the recycling center. The recovery point is the recovery model, and an improved genetic algorithm is used to solve it. Drawing lessons from the idea of greed, the superiority of the initial population is improved; the entry matrix and the exit matrix of the iterative population are constructed, and the crossover operator is improved based on this, and the forward insertion method is introduced to design the hybrid crossover operation to speed up the population. At the same time, the improvement of the mutation operator is proposed to increase the diversity of the population. The experimental results show that the multivehicle mixed delivery mode can reduce costs more effectively than single-vehicle models, and the improved genetic algorithm has better convergence and stability.

Highlights

  • In recent years, with the shortage of natural resources, how to maximize the use of existing resources has become a hot issue that countries around the world pay close attention to. e emergence of reverse logistics can relieve the pressure on natural resources to a certain extent and increase the availability of goods

  • Reverse logistics refers to the reverse flow of scrapped products from customers to the starting point for disposal or remanufacturing purposes. e recycling center uses vehicles of different models to collect recyclable products from customers and recycle them to the recycling point. e recycling center is responsible for recycling products and preliminary processing of reusable products

  • Due to the complexity of the logistics network and environmental impact, the transportation of recycled products has brought a heavy burden to the company. e local government encourages companies to carry out recycling operations through laws and advertisements to reduce resource consumption. e implementation of the reverse supply chain management mechanism can improve the efficiency of the recycling network, reduce the level of pollution caused by waste products, and promote the clean and environmentally friendly development of world cities

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Summary

Introduction

With the shortage of natural resources, how to maximize the use of existing resources has become a hot issue that countries around the world pay close attention to. e emergence of reverse logistics can relieve the pressure on natural resources to a certain extent and increase the availability of goods. E recycling center uses vehicles of different models to collect recyclable products from customers and recycle them to the recycling point. For cost-saving reasons, recycling points can establish partnerships with recycling centers that are closer. Due to the complexity of the logistics network and environmental impact, the transportation of recycled products has brought a heavy burden to the company. E implementation of the reverse supply chain management mechanism can improve the efficiency of the recycling network, reduce the level of pollution caused by waste products, and promote the clean and environmentally friendly development of world cities. Taking into account the particularity of the recycling business, optimizing the recycling process can improve the efficiency of the entire network while reducing costs and pollution

Literature Review
Problem Statement and Model Formulation
Model Building
10 Recycling point 0 Recycling center
Algorithm Design
Example Simulation and Analysis
Full Text
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