Article: Robust bi-objective cost-effective, multi-period, location-allocation organ transplant supply chain Journal: International Journal of Logistics Systems and Management (IJLSM) 2018 Vol.29 No.1 pp.17 - 36 Abstract: This paper proposes a new multi-objective model for organ transplant supply chain under uncertainty conditions. Previous models have focused on time, location and allocations separately, and have not considered some important aspects in locating healthcare units. Because of the vital role of these parameters in decision-making about locating organ transplant supply chain, this new model compensates for and covers this shortcoming. These significant parameters include: 1) expected number of organs donors; 2) coverage rate of other zones for the selected locations based on cold ischemia time for each organ (cold ischemia time is the maximum time each organ can bear outside the body); 3) safety index based on earthquakes and other natural or unnatural events. The model consists of three objective functions: the first objective function reduces the costs of the active working centres. Transportations and allocations of units and organs, and the second objective function consider the mentioned parameters too. These objective functions are likely to face conflicts based on the input data. Finally, some statistics-based experiments have been conducted on the problem under study, and it has been solved using GAMS optimisation software (ver. 23.5). Inderscience Publishers - linking academia, business and industry through research

Title: Robust bi-objective cost-effective, multi-period, location-allocation organ transplant supply chain

Authors: Seyed Mahdi Aghazadeh; Mohammad Mohammadi; Bahman Naderi

Addresses: Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, P.O. Box 15719-14911, Tehran, Iran ' Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, P.O. Box 15719-14911, Tehran, Iran ' Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, P.O. Box 15719-14911, Tehran, Iran

Abstract: This paper proposes a new multi-objective model for organ transplant supply chain under uncertainty conditions. Previous models have focused on time, location and allocations separately, and have not considered some important aspects in locating healthcare units. Because of the vital role of these parameters in decision-making about locating organ transplant supply chain, this new model compensates for and covers this shortcoming. These significant parameters include: 1) expected number of organs donors; 2) coverage rate of other zones for the selected locations based on cold ischemia time for each organ (cold ischemia time is the maximum time each organ can bear outside the body); 3) safety index based on earthquakes and other natural or unnatural events. The model consists of three objective functions: the first objective function reduces the costs of the active working centres. Transportations and allocations of units and organs, and the second objective function consider the mentioned parameters too. These objective functions are likely to face conflicts based on the input data. Finally, some statistics-based experiments have been conducted on the problem under study, and it has been solved using GAMS optimisation software (ver. 23.5).

Keywords: healthcare management; organ transplant supply chain; location efficiency; bi-objective MIP optimisation.

DOI: 10.1504/IJLSM.2018.088578

International Journal of Logistics Systems and Management, 2018 Vol.29 No.1, pp.17 - 36

Received: 20 May 2016
Accepted: 23 Jul 2016
Published online: 12 Dec 2017 *

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Title: Robust bi-objective cost-effective, multi-period, location-allocation organ transplant supply chain

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