Dynamic supply chain network design for the supply of blood in disasters: A robust model with real world application

Jabbarzadeh, Armin; Fahimnia, Behnam; Seuring, Stefan

doi:10.1016/j.tre.2014.06.003

Cited by 288 publications

(146 citation statements)

References 35 publications

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“…Robust optimization has been adopted as an effective tool for the optimal design and management of supply chains operating in uncertain environments (Jabbarzadeh et al, 2014). Practical applications of robust optimization have been investigated in relief supply chains (Ben-Tal et al 2011;Bozorgi-Amiri et al, 2011), blood supply chains (Jabbarzadeh et al, 2014), organ transplant (Zahiri et al, 2014), and logistics planning (Pishvaee et al 2012). A solution to an optimization is said to be robust if it has both feasibility robustness and optimality robustness.…”

Section: Introductionmentioning

confidence: 99%

Robust Platelet Logistics Planning in Disaster Relief Operations Under Uncertainty: a Coordinated Approach

et al. 2017

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Abstract:Resource sharing, as a coordination mechanism, can mitigate disruptions in supply and changes in demand. It is particularly crucial for platelets because they have a short lifespan and need to be transferred and allocated within a limited time to prevent waste or shortages. Thus, a coordinated model comprised of a mixed vertical-horizontal structure, for the logistics of platelets, is proposed for disaster relief operations in the response phase. The aim of this research is to reduce the wastage and shortage of platelets due to their critical role in wound healing. We present a biobjective location-allocation robust possibilistic programming model for designing a two-layer coordinated organization strategy for multi-type blood-derived platelets under demand uncertainty. Computational results, derived using a heuristic -constraint algorithm, are reported and discussed to show the applicability of the proposed model. The experimental results indicate that surpluses and shortages in platelets remarkably declined following instigation of a coordinated disaster relief operation.

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Section: Introductionmentioning

confidence: 99%

Robust Platelet Logistics Planning in Disaster Relief Operations Under Uncertainty: a Coordinated Approach

et al. 2017

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“…In addition, Nagurney et al (2012) proposed a network optimization to determine optimal capacities of supply chain network activities and allocation of resources to demand points. Finally, Jabbarzadeh et al (2014) proposed a dynamic supply chain network design for the supply of blood in disasters. In their paper they presented a robust network design model that was able to supply blood both during and after a disaster occurrence.…”

Section: Introductionmentioning

confidence: 99%

Designing a bi-objective and multi-product supply chain network for the supply of blood

Arvan¹,

Tavakkoli–Moghaddam²,

Abdollahi³

2015

10.5267/j.uscm

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During the past few years, operations research applications in health care operation management have grown quickly. On the other hand blood as a perishable, valuable and lifesaving product is one important asset of any healthcare center. Therefore, designing a blood supply network comes to importance. It also should be noted that a blood supply chain comprises specific modifications. This study intends to locate blood bank components in a network, and to determine the allocations among the network components. The supply chain components considered in this study are donation sites, testing and processing labs, blood banks, and demand points. It is known that demand centers such as hospitals and clinics highly depend on blood products and any deficiency in procurement can even result in a person's death. Thus, in the last layer of the considered network a transshipment sub-network is considered between demand points. Most of the intricacies in problem formulation of blood supply chain are regarded in this study; cases such as blood wastage, blood product decomposition in lab facilities, and transshipments between demand points. Due to the fact that for such an important and lifesaving supply chain the aim would go beyond minimizing cost, another objective function is presented for the problem. Hence, to obtain a Pareto solution for both objective functions ∊-constraint method is utilized. Finally, to demonstrate the applicability of the problem, the model is implemented on a number of problem sets.

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“…In the proposed model, the supply chain network is effectively designed for an organ transplantation network. Jabbarzadeh, Fahimnia and Seuring [19] developed a robust network design model for the supply chain of blood, especially during disasters. Their model assists in facility location and the allocation of blood banks for different post-disaster periods.…”

Section: Health Care Supply Chain Managementmentioning

confidence: 99%

Facility Location of Organ Procurement Organisations in Indian Health Care Supply Chain Management

Rajmohan

Theophilus

Sumalatha

et al. 2017

SAJIE

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In health care supply chain management, particularly in the area of organ transplantation, organ procurement and the transplantation network play an important role. The organ procurement organisation (OPO) should coordinate so that organs are prepared and transported to the recipients when donors become available. The scarcity of organ supply leads to life-challenging issues for the organ recipient. In this research, the importance of the location of OPOs to coordinate with the transplant centres in India is considered, and a solution is provided by facilitating the identification of locations where organs can be procured and distributed to the nearest transplant location. The location of the distribution centres of organs are identified, based on the p-median model. This model minimises the weighted distance of the organ recipients. Initially, the demand or the population density of organ recipients with respect to particular location is recognised. Then, based on the p-median model, the location of OPOs is effectively identified. Experimental analysis proves that the proposed model performs well in facilitating the location of OPOs. The robustness of the proposed work is validated using a sensitivity analysis of the differences in the selection of OPOs when the estimated demand for organs varies. OPSOMMINGOrgaanverkryging en die oorplantingsnetwerk speel ŉ belangrike rol in die voorsieningkettingbestuur van gesondheidsorg. Die orgaan verkrygingsorganisasie moet koördineer dat organe voorberei en vervoer word na ontvangers soos wat skenkers beskikbaar word. Die skaarsheid gekoppel aan orgaanverskaffing lei tot lewensgevaarlike situasies vir die orgaanontvanger. Die belangrikheid van die ligging van orgaan verkrygingsorganisasies word oorweeg en ŉ oplossing word verskaf deur die liggings waar organe verkry en versprei kan word na die naaste oorplantingsentrum te identifiseer. Die ligging van die verspreidingsentrums word deur middel van die p-mediaan model identifiseer. Die model minimeer die geweegde afstand tot by die orgaanontvangers. Eksperimentele analise bewys dat die voorgestelde model daarin slaag om die orgaan verkrygingsorganisasies se liggings te fasiliteer. Die robuustheid van die voorgestelde model is gevalideer deur middel van ŉ sensitiwiteitsanalise van die verskille in die seleksie van orgaan verkrygingsorganisasies wanneer die geskatte vraag na organe wissel.

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Dynamic supply chain network design for the supply of blood in disasters: A robust model with real world application

Cited by 288 publications

References 35 publications

Robust Platelet Logistics Planning in Disaster Relief Operations Under Uncertainty: a Coordinated Approach

Robust Platelet Logistics Planning in Disaster Relief Operations Under Uncertainty: a Coordinated Approach

Designing a bi-objective and multi-product supply chain network for the supply of blood

Facility Location of Organ Procurement Organisations in Indian Health Care Supply Chain Management

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