Application of fuzzy Robust approach for location-routing of urban waste collection facilities using genetic algorithm

Articles in Press

Document Type : Scientific - Research

Authors

1 Industrial Management Department, Faculty of Business and Economics, Persian Gulf University, Bushehr, Iran

2 Associate Prof, Faculty of Business and Economics, Persian Gulf University, Bushehr, Iran

Abstract

In this articlethe positioning-routing problem of the periodic arc along with the intermediatedischarge stations is studied under conditions of uncertainty, the purpose of whichis to reduce the number of active places for waste collection in the city, to determine the optimal routes for full service.The cities with the demand of the urban graph network during the week and the number of vehicles required. A mixed integer linear programming model is developed along with taking into account the fuzzy demand to optimize the problem, and genetic algorithm is used in large dimensions for the approximate solution of the problem. To evaluate the efficiency of the proposed algorithm, CPLEX solver of GAMS software is used to solve problems with small and medium dimensions.The main dimensions of the mentioned model are taken from the review of theoretical literature in the field of waste management. In the current research, since it is very difficult to accurately and correctly identify the distribution of parameters in the planning problem of waste management, and most of the required data have uncertainty, robust optimization approach and intuitive fuzzy approach were used to model the research problem.The results of this research show that the value of the objective functions determined in the fuzzy stable method is less than the deterministic method. Among the other results of this research, we can mention a 9% reduction in the amount of use of required tanks allocated to waste collection sites, as well as a 52% reduction in active sites for waste collection.

Keywords

Quarterly Journal of Transportation Engineering

Articles in Press, Accepted Manuscript
Available Online from 24 December 2022

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History

  • Receive Date: 21 October 2022
  • Revise Date: 26 November 2022
  • Accept Date: 28 November 2022

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