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A bi-level multi-objective location-routing model for municipal waste management with obnoxious effects
Journal article   Peer reviewed

A bi-level multi-objective location-routing model for municipal waste management with obnoxious effects

Yanfang Ma, Wen Zhang, Cuiying Feng, Benjamin Lev and Zongmin Li
Waste management (Elmsford), v 135, pp 109-121
Nov 2021
DOI: https://doi.org/10.1016/j.wasman.2021.08.034
PMID: 34492604
Featured in Collection :   UN Sustainable Development Goals @ Drexel

Abstract

Hybrid NSGA-II Location-routing problem Multiple objective bi-level programming Municipal waste management Obnoxious effects
•A bi-level multi-objective location-routing model is proposed for MWM.•The bilevel relationship between the government and the sanitation company is discussed.•The obnoxious effect function of a waste recycling center is defined.•Two initialization methods are adopted: Clustering for leader and CW for follower.•Two classic LRP benchmark cases and a case in Tianjin are used to test the NSGA-II. Municipal waste management is a complex problem. This paper develops a bi-level multi-objective location-routing model for municipal waste management that considers the interests of both the government and the sanitation companies. The government as the leader decides on the location and scale of the waste recycling centers to reduce the obnoxious effects and ensure cost effectiveness, and the sanitation company as the follower decides on the waste collection routing plans based on the government-approved locations to minimize the logistics cost. An improved hybrid NSGA-II is then developed to solve the proposed model. Two initial solution methods are employed: clustering for the leader and a Clarke and Wright method for the follower. Non-dominated sorting and best-cost route crossover operator are used to improve the effectiveness of NSGA-II. Based on Prins (24 instances) and Barreto (13 instances) benchmarks, the experimental results indicated that the improved operator had strong competitiveness and a better performance than previous methods, with the improved algorithm achieving the best average gaps of 0.18% and 0.24% and improving the best-known solutions in some instances. The model and solution methodology are illustrated using a waste collection problem in Tianjin, from which practical insights are derived.

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35 citations in Web of Science
37 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#11 Sustainable Cities and Communities

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Engineering, Environmental
Environmental Sciences
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