Two-stage stochastic programming approach for limited medical reserves allocation under uncertainties
Abstract At the early stage of public health emergencies, when the conventional medical reserves prepared are insufficient, and productivity could temporarily not meet the surge in demand, donations can be used to cover excess demand for medical supplies to a large extent. This paper explicitly cons...
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Gespeichert in:
| Autor*in: |
Zhang, Yuwei [verfasserIn] Li, Zhenping [verfasserIn] Jiao, Pengbo [verfasserIn] Zhu, Shen [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2021 |
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| Übergeordnetes Werk: |
Enthalten in: Complex & intelligent systems - Berlin : SpringerOpen, 2015, 7(2021), 6 vom: 12. Aug., Seite 3003-3013 |
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| Übergeordnetes Werk: |
volume:7 ; year:2021 ; number:6 ; day:12 ; month:08 ; pages:3003-3013 |
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| DOI / URN: |
10.1007/s40747-021-00495-7 |
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| 245 | 1 | 0 | |a Two-stage stochastic programming approach for limited medical reserves allocation under uncertainties |
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| 520 | |a Abstract At the early stage of public health emergencies, when the conventional medical reserves prepared are insufficient, and productivity could temporarily not meet the surge in demand, donations can be used to cover excess demand for medical supplies to a large extent. This paper explicitly considers the allocation problem of limited medical reserves during a public health emergency, incorporating uncertainty in demand and donated supplies and the priorities of health care centers. The problem is formulated as a two-stage stochastic program that regards the donated supplies as an efficient recourse action, aiming to minimize the total losses. The optimal allocation strategy of limited medical reserves and donations is obtained by solving the model using Gurobi solver. Finally, the effectiveness of the proposed approach is verified by a series of computational results, which show that the solutions of our method not only benefit the emergency demand fulfill rate but reduce the total losses as well. | ||
| 650 | 4 | |a Limited medical reserves allocation |7 (dpeaa)DE-He213 | |
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| 650 | 4 | |a Uncertain demand |7 (dpeaa)DE-He213 | |
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| 650 | 4 | |a Two-stage stochastic programming |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Li, Zhenping |e verfasserin |4 aut | |
| 700 | 1 | |a Jiao, Pengbo |e verfasserin |4 aut | |
| 700 | 1 | |a Zhu, Shen |e verfasserin |4 aut | |
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10.1007/s40747-021-00495-7 doi (DE-627)SPR04544806X (SPR)s40747-021-00495-7-e DE-627 ger DE-627 rakwb eng 004 ASE Zhang, Yuwei verfasserin aut Two-stage stochastic programming approach for limited medical reserves allocation under uncertainties 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Abstract At the early stage of public health emergencies, when the conventional medical reserves prepared are insufficient, and productivity could temporarily not meet the surge in demand, donations can be used to cover excess demand for medical supplies to a large extent. This paper explicitly considers the allocation problem of limited medical reserves during a public health emergency, incorporating uncertainty in demand and donated supplies and the priorities of health care centers. The problem is formulated as a two-stage stochastic program that regards the donated supplies as an efficient recourse action, aiming to minimize the total losses. The optimal allocation strategy of limited medical reserves and donations is obtained by solving the model using Gurobi solver. Finally, the effectiveness of the proposed approach is verified by a series of computational results, which show that the solutions of our method not only benefit the emergency demand fulfill rate but reduce the total losses as well. Limited medical reserves allocation (dpeaa)DE-He213 Donations (dpeaa)DE-He213 Uncertain demand (dpeaa)DE-He213 Priority (dpeaa)DE-He213 Two-stage stochastic programming (dpeaa)DE-He213 Li, Zhenping verfasserin aut Jiao, Pengbo verfasserin aut Zhu, Shen verfasserin aut Enthalten in Complex & intelligent systems Berlin : SpringerOpen, 2015 7(2021), 6 vom: 12. Aug., Seite 3003-3013 (DE-627)835589269 (DE-600)2834740-7 2198-6053 nnns volume:7 year:2021 number:6 day:12 month:08 pages:3003-3013 https://dx.doi.org/10.1007/s40747-021-00495-7 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2021 6 12 08 3003-3013 |
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10.1007/s40747-021-00495-7 doi (DE-627)SPR04544806X (SPR)s40747-021-00495-7-e DE-627 ger DE-627 rakwb eng 004 ASE Zhang, Yuwei verfasserin aut Two-stage stochastic programming approach for limited medical reserves allocation under uncertainties 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Abstract At the early stage of public health emergencies, when the conventional medical reserves prepared are insufficient, and productivity could temporarily not meet the surge in demand, donations can be used to cover excess demand for medical supplies to a large extent. This paper explicitly considers the allocation problem of limited medical reserves during a public health emergency, incorporating uncertainty in demand and donated supplies and the priorities of health care centers. The problem is formulated as a two-stage stochastic program that regards the donated supplies as an efficient recourse action, aiming to minimize the total losses. The optimal allocation strategy of limited medical reserves and donations is obtained by solving the model using Gurobi solver. Finally, the effectiveness of the proposed approach is verified by a series of computational results, which show that the solutions of our method not only benefit the emergency demand fulfill rate but reduce the total losses as well. Limited medical reserves allocation (dpeaa)DE-He213 Donations (dpeaa)DE-He213 Uncertain demand (dpeaa)DE-He213 Priority (dpeaa)DE-He213 Two-stage stochastic programming (dpeaa)DE-He213 Li, Zhenping verfasserin aut Jiao, Pengbo verfasserin aut Zhu, Shen verfasserin aut Enthalten in Complex & intelligent systems Berlin : SpringerOpen, 2015 7(2021), 6 vom: 12. Aug., Seite 3003-3013 (DE-627)835589269 (DE-600)2834740-7 2198-6053 nnns volume:7 year:2021 number:6 day:12 month:08 pages:3003-3013 https://dx.doi.org/10.1007/s40747-021-00495-7 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2021 6 12 08 3003-3013 |
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10.1007/s40747-021-00495-7 doi (DE-627)SPR04544806X (SPR)s40747-021-00495-7-e DE-627 ger DE-627 rakwb eng 004 ASE Zhang, Yuwei verfasserin aut Two-stage stochastic programming approach for limited medical reserves allocation under uncertainties 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Abstract At the early stage of public health emergencies, when the conventional medical reserves prepared are insufficient, and productivity could temporarily not meet the surge in demand, donations can be used to cover excess demand for medical supplies to a large extent. This paper explicitly considers the allocation problem of limited medical reserves during a public health emergency, incorporating uncertainty in demand and donated supplies and the priorities of health care centers. The problem is formulated as a two-stage stochastic program that regards the donated supplies as an efficient recourse action, aiming to minimize the total losses. The optimal allocation strategy of limited medical reserves and donations is obtained by solving the model using Gurobi solver. Finally, the effectiveness of the proposed approach is verified by a series of computational results, which show that the solutions of our method not only benefit the emergency demand fulfill rate but reduce the total losses as well. Limited medical reserves allocation (dpeaa)DE-He213 Donations (dpeaa)DE-He213 Uncertain demand (dpeaa)DE-He213 Priority (dpeaa)DE-He213 Two-stage stochastic programming (dpeaa)DE-He213 Li, Zhenping verfasserin aut Jiao, Pengbo verfasserin aut Zhu, Shen verfasserin aut Enthalten in Complex & intelligent systems Berlin : SpringerOpen, 2015 7(2021), 6 vom: 12. Aug., Seite 3003-3013 (DE-627)835589269 (DE-600)2834740-7 2198-6053 nnns volume:7 year:2021 number:6 day:12 month:08 pages:3003-3013 https://dx.doi.org/10.1007/s40747-021-00495-7 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2021 6 12 08 3003-3013 |
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10.1007/s40747-021-00495-7 doi (DE-627)SPR04544806X (SPR)s40747-021-00495-7-e DE-627 ger DE-627 rakwb eng 004 ASE Zhang, Yuwei verfasserin aut Two-stage stochastic programming approach for limited medical reserves allocation under uncertainties 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Abstract At the early stage of public health emergencies, when the conventional medical reserves prepared are insufficient, and productivity could temporarily not meet the surge in demand, donations can be used to cover excess demand for medical supplies to a large extent. This paper explicitly considers the allocation problem of limited medical reserves during a public health emergency, incorporating uncertainty in demand and donated supplies and the priorities of health care centers. The problem is formulated as a two-stage stochastic program that regards the donated supplies as an efficient recourse action, aiming to minimize the total losses. The optimal allocation strategy of limited medical reserves and donations is obtained by solving the model using Gurobi solver. Finally, the effectiveness of the proposed approach is verified by a series of computational results, which show that the solutions of our method not only benefit the emergency demand fulfill rate but reduce the total losses as well. Limited medical reserves allocation (dpeaa)DE-He213 Donations (dpeaa)DE-He213 Uncertain demand (dpeaa)DE-He213 Priority (dpeaa)DE-He213 Two-stage stochastic programming (dpeaa)DE-He213 Li, Zhenping verfasserin aut Jiao, Pengbo verfasserin aut Zhu, Shen verfasserin aut Enthalten in Complex & intelligent systems Berlin : SpringerOpen, 2015 7(2021), 6 vom: 12. Aug., Seite 3003-3013 (DE-627)835589269 (DE-600)2834740-7 2198-6053 nnns volume:7 year:2021 number:6 day:12 month:08 pages:3003-3013 https://dx.doi.org/10.1007/s40747-021-00495-7 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2021 6 12 08 3003-3013 |
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10.1007/s40747-021-00495-7 doi (DE-627)SPR04544806X (SPR)s40747-021-00495-7-e DE-627 ger DE-627 rakwb eng 004 ASE Zhang, Yuwei verfasserin aut Two-stage stochastic programming approach for limited medical reserves allocation under uncertainties 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Abstract At the early stage of public health emergencies, when the conventional medical reserves prepared are insufficient, and productivity could temporarily not meet the surge in demand, donations can be used to cover excess demand for medical supplies to a large extent. This paper explicitly considers the allocation problem of limited medical reserves during a public health emergency, incorporating uncertainty in demand and donated supplies and the priorities of health care centers. The problem is formulated as a two-stage stochastic program that regards the donated supplies as an efficient recourse action, aiming to minimize the total losses. The optimal allocation strategy of limited medical reserves and donations is obtained by solving the model using Gurobi solver. Finally, the effectiveness of the proposed approach is verified by a series of computational results, which show that the solutions of our method not only benefit the emergency demand fulfill rate but reduce the total losses as well. Limited medical reserves allocation (dpeaa)DE-He213 Donations (dpeaa)DE-He213 Uncertain demand (dpeaa)DE-He213 Priority (dpeaa)DE-He213 Two-stage stochastic programming (dpeaa)DE-He213 Li, Zhenping verfasserin aut Jiao, Pengbo verfasserin aut Zhu, Shen verfasserin aut Enthalten in Complex & intelligent systems Berlin : SpringerOpen, 2015 7(2021), 6 vom: 12. Aug., Seite 3003-3013 (DE-627)835589269 (DE-600)2834740-7 2198-6053 nnns volume:7 year:2021 number:6 day:12 month:08 pages:3003-3013 https://dx.doi.org/10.1007/s40747-021-00495-7 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2021 6 12 08 3003-3013 |
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Abstract At the early stage of public health emergencies, when the conventional medical reserves prepared are insufficient, and productivity could temporarily not meet the surge in demand, donations can be used to cover excess demand for medical supplies to a large extent. This paper explicitly considers the allocation problem of limited medical reserves during a public health emergency, incorporating uncertainty in demand and donated supplies and the priorities of health care centers. The problem is formulated as a two-stage stochastic program that regards the donated supplies as an efficient recourse action, aiming to minimize the total losses. The optimal allocation strategy of limited medical reserves and donations is obtained by solving the model using Gurobi solver. Finally, the effectiveness of the proposed approach is verified by a series of computational results, which show that the solutions of our method not only benefit the emergency demand fulfill rate but reduce the total losses as well. © The Author(s) 2021 |
| abstractGer |
Abstract At the early stage of public health emergencies, when the conventional medical reserves prepared are insufficient, and productivity could temporarily not meet the surge in demand, donations can be used to cover excess demand for medical supplies to a large extent. This paper explicitly considers the allocation problem of limited medical reserves during a public health emergency, incorporating uncertainty in demand and donated supplies and the priorities of health care centers. The problem is formulated as a two-stage stochastic program that regards the donated supplies as an efficient recourse action, aiming to minimize the total losses. The optimal allocation strategy of limited medical reserves and donations is obtained by solving the model using Gurobi solver. Finally, the effectiveness of the proposed approach is verified by a series of computational results, which show that the solutions of our method not only benefit the emergency demand fulfill rate but reduce the total losses as well. © The Author(s) 2021 |
| abstract_unstemmed |
Abstract At the early stage of public health emergencies, when the conventional medical reserves prepared are insufficient, and productivity could temporarily not meet the surge in demand, donations can be used to cover excess demand for medical supplies to a large extent. This paper explicitly considers the allocation problem of limited medical reserves during a public health emergency, incorporating uncertainty in demand and donated supplies and the priorities of health care centers. The problem is formulated as a two-stage stochastic program that regards the donated supplies as an efficient recourse action, aiming to minimize the total losses. The optimal allocation strategy of limited medical reserves and donations is obtained by solving the model using Gurobi solver. Finally, the effectiveness of the proposed approach is verified by a series of computational results, which show that the solutions of our method not only benefit the emergency demand fulfill rate but reduce the total losses as well. © The Author(s) 2021 |
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