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...
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Series: | Scientific Programming |
Online Access: | http://dx.doi.org/10.1155/2021/5523910 |
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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 |
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1721322844164456448 |