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

Afshin Kamyabniya (), M. M. Lotfi (), Mohsen Naderpour () and Yuehwern Yih ()
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Afshin Kamyabniya: Yazd University
M. M. Lotfi: Yazd University
Mohsen Naderpour: University of Technology Sydney (UTS)
Yuehwern Yih: Purdue University

Information Systems Frontiers, 2018, vol. 20, issue 4, No 8, 759-782

Abstract: 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 bi-objective 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 ε-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.

Keywords: Coordination; Disaster relief operations; Platelets; Possibilistic programming; Heuristic ε-constraint algorithm; Demand uncertainty (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (8)

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DOI: 10.1007/s10796-017-9788-5

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