AGV Scheduling Optimization for Medical Waste Sorting System
The dramatic increase in medical waste has put a severe strain on sorting operations. Traditional manual order picking is extremely susceptible to infection spread among workers and picking errors, while automated medical waste sorting systems can handle large volumes of medical waste efficiently an...
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2021-01-01
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Series: | Scientific Programming |
Online Access: | http://dx.doi.org/10.1155/2021/4313749 |
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doaj-f5dc3896c57848bbb9711dce1c71507e2021-06-28T01:52:01ZengHindawi LimitedScientific Programming1875-919X2021-01-01202110.1155/2021/4313749AGV Scheduling Optimization for Medical Waste Sorting SystemXueting He0Hao Quan1Wanlong Lin2Weiliang Deng3Zheyi Tan4School of ManagementShibei HospitalShanghai No. 3 Rehabilitation HospitalSchool of ManagementSchool of ManagementThe dramatic increase in medical waste has put a severe strain on sorting operations. Traditional manual order picking is extremely susceptible to infection spread among workers and picking errors, while automated medical waste sorting systems can handle large volumes of medical waste efficiently and reliably. This paper investigates the optimization problem in the automated medical waste sorting system by considering the operational flow of medical waste. For this purpose, a mixed-integer programming model is developed to optimize the assignment among medical waste, presorting stations, and AGVs. An effective variable neighborhood search based on dynamic programming algorithm is proposed, and extensive numerical experiments are conducted. It is found that the proposed algorithm can efficiently solve the optimization problem, and the sensitivity analysis gives recommendations for the speed setting of the conveyor.http://dx.doi.org/10.1155/2021/4313749 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xueting He Hao Quan Wanlong Lin Weiliang Deng Zheyi Tan |
spellingShingle |
Xueting He Hao Quan Wanlong Lin Weiliang Deng Zheyi Tan AGV Scheduling Optimization for Medical Waste Sorting System Scientific Programming |
author_facet |
Xueting He Hao Quan Wanlong Lin Weiliang Deng Zheyi Tan |
author_sort |
Xueting He |
title |
AGV Scheduling Optimization for Medical Waste Sorting System |
title_short |
AGV Scheduling Optimization for Medical Waste Sorting System |
title_full |
AGV Scheduling Optimization for Medical Waste Sorting System |
title_fullStr |
AGV Scheduling Optimization for Medical Waste Sorting System |
title_full_unstemmed |
AGV Scheduling Optimization for Medical Waste Sorting System |
title_sort |
agv scheduling optimization for medical waste sorting system |
publisher |
Hindawi Limited |
series |
Scientific Programming |
issn |
1875-919X |
publishDate |
2021-01-01 |
description |
The dramatic increase in medical waste has put a severe strain on sorting operations. Traditional manual order picking is extremely susceptible to infection spread among workers and picking errors, while automated medical waste sorting systems can handle large volumes of medical waste efficiently and reliably. This paper investigates the optimization problem in the automated medical waste sorting system by considering the operational flow of medical waste. For this purpose, a mixed-integer programming model is developed to optimize the assignment among medical waste, presorting stations, and AGVs. An effective variable neighborhood search based on dynamic programming algorithm is proposed, and extensive numerical experiments are conducted. It is found that the proposed algorithm can efficiently solve the optimization problem, and the sensitivity analysis gives recommendations for the speed setting of the conveyor. |
url |
http://dx.doi.org/10.1155/2021/4313749 |
work_keys_str_mv |
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