Routing Optimization for Healthcare Waste Collection With Temporary Storing Risks and Sequential Uncertain Service Requests
The effective disposal of healthcare waste is a highly concerned issue. Healthcare waste collection poses transport risks and temporary storing risks, and the deliberation undertaken by decision-makers concerning waste collection entails potential scenario wherein some hospitals have not yet submitt...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10335678/ |
| _version_ | 1797361480259076096 |
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| author | Meng Zhang Wei Cui Qi Jiang Nengmin Wang |
| author_facet | Meng Zhang Wei Cui Qi Jiang Nengmin Wang |
| author_sort | Meng Zhang |
| collection | DOAJ |
| description | The effective disposal of healthcare waste is a highly concerned issue. Healthcare waste collection poses transport risks and temporary storing risks, and the deliberation undertaken by decision-makers concerning waste collection entails potential scenario wherein some hospitals have not yet submitted their service requests and may submit their requests during the healthcare waste collection procedure. A routing optimisation problem for healthcare waste collection with temporary storing risks and sequential uncertain service requests is introduced. A two-stage decision-making is proposed and mathematical models corresponding to each stage are developed. Different solution algorithms are developed for different stages or different scales of instances, including the improved <inline-formula> <tex-math notation="LaTeX">$\varepsilon $ </tex-math></inline-formula>-constraint method and Non-dominated Sorting Genetic Algorithm-II for the solution procedure in Stage 1, and the Compare-choose-move algorithm for the solution procedure in Stage 2. Finally, the models and algorithms are tested by numerical instances and several suggestions for healthcare waste collection have been proposed based on sensitivity analysis. |
| first_indexed | 2024-03-08T15:54:17Z |
| format | Article |
| id | doaj.art-10a22345ad5546ddb41d19a6318355f2 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-08T15:54:17Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-10a22345ad5546ddb41d19a6318355f22024-01-09T00:04:12ZengIEEEIEEE Access2169-35362024-01-01122868288110.1109/ACCESS.2023.333801810335678Routing Optimization for Healthcare Waste Collection With Temporary Storing Risks and Sequential Uncertain Service RequestsMeng Zhang0https://orcid.org/0000-0002-8177-2453Wei Cui1Qi Jiang2Nengmin Wang3https://orcid.org/0000-0002-6543-1309School of Economics and Management, Xi’an Technological University, Xi’an, ChinaSchool of Management, Xi’an Jiaotong University, Xi’an, ChinaSchool of Management, Xi’an Jiaotong University, Xi’an, ChinaSchool of Management, Xi’an Jiaotong University, Xi’an, ChinaThe effective disposal of healthcare waste is a highly concerned issue. Healthcare waste collection poses transport risks and temporary storing risks, and the deliberation undertaken by decision-makers concerning waste collection entails potential scenario wherein some hospitals have not yet submitted their service requests and may submit their requests during the healthcare waste collection procedure. A routing optimisation problem for healthcare waste collection with temporary storing risks and sequential uncertain service requests is introduced. A two-stage decision-making is proposed and mathematical models corresponding to each stage are developed. Different solution algorithms are developed for different stages or different scales of instances, including the improved <inline-formula> <tex-math notation="LaTeX">$\varepsilon $ </tex-math></inline-formula>-constraint method and Non-dominated Sorting Genetic Algorithm-II for the solution procedure in Stage 1, and the Compare-choose-move algorithm for the solution procedure in Stage 2. Finally, the models and algorithms are tested by numerical instances and several suggestions for healthcare waste collection have been proposed based on sensitivity analysis.https://ieeexplore.ieee.org/document/10335678/Healthcare waste collectionrouting optimizationsequential uncertain service requesttemporary storing risk |
| spellingShingle | Meng Zhang Wei Cui Qi Jiang Nengmin Wang Routing Optimization for Healthcare Waste Collection With Temporary Storing Risks and Sequential Uncertain Service Requests IEEE Access Healthcare waste collection routing optimization sequential uncertain service request temporary storing risk |
| title | Routing Optimization for Healthcare Waste Collection With Temporary Storing Risks and Sequential Uncertain Service Requests |
| title_full | Routing Optimization for Healthcare Waste Collection With Temporary Storing Risks and Sequential Uncertain Service Requests |
| title_fullStr | Routing Optimization for Healthcare Waste Collection With Temporary Storing Risks and Sequential Uncertain Service Requests |
| title_full_unstemmed | Routing Optimization for Healthcare Waste Collection With Temporary Storing Risks and Sequential Uncertain Service Requests |
| title_short | Routing Optimization for Healthcare Waste Collection With Temporary Storing Risks and Sequential Uncertain Service Requests |
| title_sort | routing optimization for healthcare waste collection with temporary storing risks and sequential uncertain service requests |
| topic | Healthcare waste collection routing optimization sequential uncertain service request temporary storing risk |
| url | https://ieeexplore.ieee.org/document/10335678/ |
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