A green home health care supply chain

New modified simulated annealing algorithms

Amir Mohammad Fathollahi-Fard*, Kannan Govindan, Mostafa Hajiaghaei-Keshteli, Abbas Ahmadi

*Kontaktforfatter for dette arbejde

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

Generally, in Home Health Care (HHC) logistics, caregivers which are started from a pharmacy are scheduled and routed to do different care services at patients' home. At the end, they go to their laboratory to update the patients' health records. In addition to scheduling and routing of the caregivers, there are some other optimization decisions which can increase the competitive advantages of HHC organizations as a supply chain network. The location decisions of the pharmacies and laboratories and the assignment of patients to the nearest pharmacies are two of the several important logistics factors for an HHC organization. The literature shows that the green emissions and sustainability achievements for HHC logistics are still scarce. To cover more logistics and sustainability factors and make the HHC more practical, this study contributes a Green Home Health Care Supply Chain (GHHCSC) for the first time by a bi-objective location-allocation-routing model. Already applied successfully to this research area, the Simulated Annealing (SA) is also employed in this study. Another main innovation of this paper is to propose a set of new modified SA algorithms to better solve the proposed NP-hard problem. As a bi-objective optimization model, the epsilon constraint method is also utilized to check the algorithms’ results in small sizes. By using some multi-objective assessment metrics, the algorithms are compared with each other and their performance is evaluated. As such, some sensitivity analyses are performed to reveal the efficiency of the developed model. Finally, some managerial insights are deployed to achieve the sustainability for the HHC organizations.

OriginalsprogEngelsk
Artikelnummer118200
TidsskriftJournal of Cleaner Production
Vol/bind240
ISSN0959-6526
DOI
StatusUdgivet - 10. dec. 2019

Fingeraftryk

Home health care
simulated annealing
Simulated annealing
health care
Supply chains
Logistics
logistics
Sustainable development
sustainability
routing
location decision
Supply chain
Healthcare
Simulated annealing algorithm
Computational complexity
innovation
Innovation
Sustainability
Health care organization
Scheduling

Citer dette

Fathollahi-Fard, Amir Mohammad ; Govindan, Kannan ; Hajiaghaei-Keshteli, Mostafa ; Ahmadi, Abbas. / A green home health care supply chain : New modified simulated annealing algorithms. I: Journal of Cleaner Production. 2019 ; Bind 240.
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A green home health care supply chain : New modified simulated annealing algorithms. / Fathollahi-Fard, Amir Mohammad; Govindan, Kannan; Hajiaghaei-Keshteli, Mostafa; Ahmadi, Abbas.

I: Journal of Cleaner Production, Bind 240, 118200, 10.12.2019.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - A green home health care supply chain

T2 - New modified simulated annealing algorithms

AU - Fathollahi-Fard, Amir Mohammad

AU - Govindan, Kannan

AU - Hajiaghaei-Keshteli, Mostafa

AU - Ahmadi, Abbas

PY - 2019/12/10

Y1 - 2019/12/10

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AB - Generally, in Home Health Care (HHC) logistics, caregivers which are started from a pharmacy are scheduled and routed to do different care services at patients' home. At the end, they go to their laboratory to update the patients' health records. In addition to scheduling and routing of the caregivers, there are some other optimization decisions which can increase the competitive advantages of HHC organizations as a supply chain network. The location decisions of the pharmacies and laboratories and the assignment of patients to the nearest pharmacies are two of the several important logistics factors for an HHC organization. The literature shows that the green emissions and sustainability achievements for HHC logistics are still scarce. To cover more logistics and sustainability factors and make the HHC more practical, this study contributes a Green Home Health Care Supply Chain (GHHCSC) for the first time by a bi-objective location-allocation-routing model. Already applied successfully to this research area, the Simulated Annealing (SA) is also employed in this study. Another main innovation of this paper is to propose a set of new modified SA algorithms to better solve the proposed NP-hard problem. As a bi-objective optimization model, the epsilon constraint method is also utilized to check the algorithms’ results in small sizes. By using some multi-objective assessment metrics, the algorithms are compared with each other and their performance is evaluated. As such, some sensitivity analyses are performed to reveal the efficiency of the developed model. Finally, some managerial insights are deployed to achieve the sustainability for the HHC organizations.

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KW - Modified simulated annealing algorithms

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