Routing Optimisation of Urban Medical Waste Recycling Network considering Differentiated Collection Strategy and Time Windows

The increasing gap between medical waste production and disposal stresses the urgency of further development of urban medical waste recycling. This paper investigates an integrated optimisation problem in urban medical waste recycling network. It combines the vehicle routing problem of medical facil...

Full description

Bibliographic Details
Main Authors: Jiajing Gao, Haolin Li, Jingwen Wu, Junyan Lyu, Zheyi Tan, Zhufan Jin
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Scientific Programming
Online Access:http://dx.doi.org/10.1155/2021/5523910
id doaj-9b307feff2864e7895ade6eaeeef86f7
record_format Article
spelling doaj-9b307feff2864e7895ade6eaeeef86f72021-07-02T20:33:57ZengHindawi LimitedScientific Programming1875-919X2021-01-01202110.1155/2021/5523910Routing Optimisation of Urban Medical Waste Recycling Network considering Differentiated Collection Strategy and Time WindowsJiajing Gao0Haolin Li1Jingwen Wu2Junyan Lyu3Zheyi Tan4Zhufan Jin5School of ManagementSchool of ManagementSchool of ManagementSchool of ManagementSchool of ManagementSchool of ManagementThe increasing gap between medical waste production and disposal stresses the urgency of further development of urban medical waste recycling. This paper investigates an integrated optimisation problem in urban medical waste recycling network. It combines the vehicle routing problem of medical facilities with different requirements and the collection problem of clinics’ medical waste to the affiliated hospital. To solve this problem, a compact mixed-integer linear programming model is proposed, which takes account of the differentiated collection strategy and time windows. Since the medical waste recycling operates according to a two-day pattern, the periodic collection plan is also embedded in the model. Moreover, we develop a particle swarm optimisation (PSO) solution approach for problem-solving. Numerical experiments are also conducted to access the solution efficiency of the proposed algorithm, which can obtain a good solution in solving large-scale problem instances within a reasonable computation time. Based on the results, some managerial implications can be recommended for the third-party recycling company.http://dx.doi.org/10.1155/2021/5523910
collection DOAJ
language English
format Article
sources DOAJ
author Jiajing Gao
Haolin Li
Jingwen Wu
Junyan Lyu
Zheyi Tan
Zhufan Jin
spellingShingle Jiajing Gao
Haolin Li
Jingwen Wu
Junyan Lyu
Zheyi Tan
Zhufan Jin
Routing Optimisation of Urban Medical Waste Recycling Network considering Differentiated Collection Strategy and Time Windows
Scientific Programming
author_facet Jiajing Gao
Haolin Li
Jingwen Wu
Junyan Lyu
Zheyi Tan
Zhufan Jin
author_sort Jiajing Gao
title Routing Optimisation of Urban Medical Waste Recycling Network considering Differentiated Collection Strategy and Time Windows
title_short Routing Optimisation of Urban Medical Waste Recycling Network considering Differentiated Collection Strategy and Time Windows
title_full Routing Optimisation of Urban Medical Waste Recycling Network considering Differentiated Collection Strategy and Time Windows
title_fullStr Routing Optimisation of Urban Medical Waste Recycling Network considering Differentiated Collection Strategy and Time Windows
title_full_unstemmed Routing Optimisation of Urban Medical Waste Recycling Network considering Differentiated Collection Strategy and Time Windows
title_sort routing optimisation of urban medical waste recycling network considering differentiated collection strategy and time windows
publisher Hindawi Limited
series Scientific Programming
issn 1875-919X
publishDate 2021-01-01
description The increasing gap between medical waste production and disposal stresses the urgency of further development of urban medical waste recycling. This paper investigates an integrated optimisation problem in urban medical waste recycling network. It combines the vehicle routing problem of medical facilities with different requirements and the collection problem of clinics’ medical waste to the affiliated hospital. To solve this problem, a compact mixed-integer linear programming model is proposed, which takes account of the differentiated collection strategy and time windows. Since the medical waste recycling operates according to a two-day pattern, the periodic collection plan is also embedded in the model. Moreover, we develop a particle swarm optimisation (PSO) solution approach for problem-solving. Numerical experiments are also conducted to access the solution efficiency of the proposed algorithm, which can obtain a good solution in solving large-scale problem instances within a reasonable computation time. Based on the results, some managerial implications can be recommended for the third-party recycling company.
url http://dx.doi.org/10.1155/2021/5523910
work_keys_str_mv AT jiajinggao routingoptimisationofurbanmedicalwasterecyclingnetworkconsideringdifferentiatedcollectionstrategyandtimewindows
AT haolinli routingoptimisationofurbanmedicalwasterecyclingnetworkconsideringdifferentiatedcollectionstrategyandtimewindows
AT jingwenwu routingoptimisationofurbanmedicalwasterecyclingnetworkconsideringdifferentiatedcollectionstrategyandtimewindows
AT junyanlyu routingoptimisationofurbanmedicalwasterecyclingnetworkconsideringdifferentiatedcollectionstrategyandtimewindows
AT zheyitan routingoptimisationofurbanmedicalwasterecyclingnetworkconsideringdifferentiatedcollectionstrategyandtimewindows
AT zhufanjin routingoptimisationofurbanmedicalwasterecyclingnetworkconsideringdifferentiatedcollectionstrategyandtimewindows
_version_ 1721322844164456448