Vehicle-Routing Optimization for Municipal Solid Waste Collection Using Genetic Algorithm: The Case of Southern Nablus City

Civil and Environmental Engineering Reports

Saleh Yahya¹  Assaf Ramiz² 

[1] An-Najah National University, Industrial Engineering Department, P.O.Box 7, Nablus, Palestine, State of;University of Business and Technology, Industrial Engineering Department, Jeddah 21361, Saudia Arabia;

关键词: solid waste collection;    vehicle routing problem;    genetic algorithm;    integer program;   

DOI  :  10.1515/ceer-2017-0034

来源: DOAJ

【 摘 要 】

Municipalities are responsible for solid waste collectiont for environmental, social and economic purposes. Practices of municipalities should be effective and efficient, with the objectives of reducing the total incurred costs in the solid waste collection network concurrently achieving the highest service level. This study aims at finding the best routes of solid waste collection network in Nablus city-Palestine. More specifically, the study seeks the optimal route that minimizes the total travelled distance by the trucks and hence the resulted costs. The current situation is evaluated and the problem is modelled as a Vehicle Routing Problem (VRP). The VRP is then optimized via a genetic algorithm. Specifically, compared to the current situation, the trucks total travelled distance was reduced by 66%, whereas the collection time was reduced from 7 hours per truck-trip to 2.3 hours. The findings of this study is useful for all municipality policy makers that are responsible for solid waste collection.

【 授权许可】

Unknown