Abstract

Optimization of Location-Routing for the Waste Household Appliances Recycling Logistics under the Uncertain Condition

Highlights

  • Waste household appliances recycling logistics based on closed-loop supply chain includes the transportation, collection, recovery and treatment of waste household appliances

  • The core problem of the waste household appliances recycling logistics management system optimization based on the closed loop supply chain is: the key facility location [1] and transportation route optimization problem, namely location-routing combination optimization problem

  • Luojun YANG et al.: Optimization of Location-Routing for the Waste Household Appliances Recycling Logistics under the Uncertain Condition algorithm based on TOPSIS method for the constructed multi-objective 0-1 mixed integer linear programming model, and the solution can reduce the risk and cost to the greatest extent

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Summary

INTRODUCTION

Waste household appliances recycling logistics based on closed-loop supply chain includes the transportation, collection, recovery and treatment of waste household appliances. The core problem of the waste household appliances recycling logistics management system optimization based on the closed loop supply chain is: the key facility location [1] and transportation route optimization problem, namely location-routing combination optimization problem. This chapter analyzes the hierarchical functions of the recycling logistics management system based on the structure of the closed-loop supply chain and the diversity of waste household appliances. Focusing on the effective control of uncertain population risk in closed-loop supply chain management, considering the compatibility of different waste household appliances, classification technology and transport vehicles, the mathematical model with the minimum total cost and the minimum total risk is established to jointly optimize the two different decisions of facility location and vehicle route design for waste household appliances recycling logistics

LITERATURE REVIEW
Hazardous Waste Location-Routing Problem
Risk Measurement
Multi-Objective Solution Method
Existing Research Problems
Uncertain Programming Theory
Triangular Fuzzy Variable
Model Formulation
Fuzzy Multi-Objective Location-Routing Model min f1
Feature Analysis
THE METHOD OF SOLUTION
Defuzzification
The Solution Steps
CALCULATION ANALYSIS
Basic Example
Computational Conclusion
CONCLUSION
Full Text
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