Location-Routing Optimization with Renting Social Vehicles in a Two-Stage E-Waste Recycling Network

E-waste recycling has been a hot topic in recent years. The low efficiency and high-operation cost of recycling make it more important to build perfect e-waste recycling networks. To hedge against the limitation of vehicle resources being often neglected in existing research, we propose a mixed inte...

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Autores principales:	Feifeng Zheng, Zhiyu Sun, Ming Liu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	location-routing optimization renting social vehicles two-stage e-waste recycling genetic algorithm heuristic algorithm Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/588820464c604c2cb91dbfc72b217d7f
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spelling	oai:doaj.org-article:588820464c604c2cb91dbfc72b217d7f2021-11-11T19:34:29ZLocation-Routing Optimization with Renting Social Vehicles in a Two-Stage E-Waste Recycling Network10.3390/su1321118792071-1050https://doaj.org/article/588820464c604c2cb91dbfc72b217d7f2021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11879https://doaj.org/toc/2071-1050E-waste recycling has been a hot topic in recent years. The low efficiency and high-operation cost of recycling make it more important to build perfect e-waste recycling networks. To hedge against the limitation of vehicle resources being often neglected in existing research, we propose a mixed integer linear programming model of e-waste recycling by renting idle social vehicles. In the model, both decisions made on the location selection of recycling sites and vehicle routings satisfying all of the demand nodes over the network within time windows are required to minimize the total operating cost. An improved genetic algorithm and heuristic algorithm are designed to solve the model, and numerical experiments are produced to demonstrate the effectiveness of the proposed model and algorithms.Feifeng ZhengZhiyu SunMing LiuMDPI AGarticlelocation-routing optimizationrenting social vehiclestwo-stage e-waste recyclinggenetic algorithmheuristic algorithmEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11879, p 11879 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	location-routing optimization renting social vehicles two-stage e-waste recycling genetic algorithm heuristic algorithm Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	location-routing optimization renting social vehicles two-stage e-waste recycling genetic algorithm heuristic algorithm Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Feifeng Zheng Zhiyu Sun Ming Liu Location-Routing Optimization with Renting Social Vehicles in a Two-Stage E-Waste Recycling Network
description	E-waste recycling has been a hot topic in recent years. The low efficiency and high-operation cost of recycling make it more important to build perfect e-waste recycling networks. To hedge against the limitation of vehicle resources being often neglected in existing research, we propose a mixed integer linear programming model of e-waste recycling by renting idle social vehicles. In the model, both decisions made on the location selection of recycling sites and vehicle routings satisfying all of the demand nodes over the network within time windows are required to minimize the total operating cost. An improved genetic algorithm and heuristic algorithm are designed to solve the model, and numerical experiments are produced to demonstrate the effectiveness of the proposed model and algorithms.
format	article
author	Feifeng Zheng Zhiyu Sun Ming Liu
author_facet	Feifeng Zheng Zhiyu Sun Ming Liu
author_sort	Feifeng Zheng
title	Location-Routing Optimization with Renting Social Vehicles in a Two-Stage E-Waste Recycling Network
title_short	Location-Routing Optimization with Renting Social Vehicles in a Two-Stage E-Waste Recycling Network
title_full	Location-Routing Optimization with Renting Social Vehicles in a Two-Stage E-Waste Recycling Network
title_fullStr	Location-Routing Optimization with Renting Social Vehicles in a Two-Stage E-Waste Recycling Network
title_full_unstemmed	Location-Routing Optimization with Renting Social Vehicles in a Two-Stage E-Waste Recycling Network
title_sort	location-routing optimization with renting social vehicles in a two-stage e-waste recycling network
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/588820464c604c2cb91dbfc72b217d7f
work_keys_str_mv	AT feifengzheng locationroutingoptimizationwithrentingsocialvehiclesinatwostageewasterecyclingnetwork AT zhiyusun locationroutingoptimizationwithrentingsocialvehiclesinatwostageewasterecyclingnetwork AT mingliu locationroutingoptimizationwithrentingsocialvehiclesinatwostageewasterecyclingnetwork
_version_	1718431467049058304

Location-Routing Optimization with Renting Social Vehicles in a Two-Stage E-Waste Recycling Network

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