Platelets inventory management: A rolling horizon Sim–Opt approach for an age-differentiated demand
Doraid Dalalah,
Omar Bataineh and
Khaled A. Alkhaledi
Journal of Simulation, 2019, vol. 13, issue 3, 209-225
Abstract:
Platelets are highly perishable components of blood. The shelf life of platelets is very short during which the platelets should be transfused, otherwise spoiled. It is evident that some medical conditions require platelets of specific ages. In this study, a stocking model of platelets is considered under age-differentiated and stochastic demand. The model aims at finding the optimal quantities by minimising the overall inventory costs. A hybrid of simulation and optimisation is established to optimise the decision variables. This work contributes to the existing literature by discriminating platelets by five ages, employing a new inventory policy of a rolling demand, and using simulation-optimisation framework. Shelf lives of 3 and 4 days were considered for the comparison with literature. The proposed model could outperform the selected policies by demonstrating lower costs. Moreover, the model resulted in lower cost per platelets’ unit compared to the actual costs of some selected hospitals.
Date: 2019
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/17477778.2018.1497461 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tjsmxx:v:13:y:2019:i:3:p:209-225
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjsm20
DOI: 10.1080/17477778.2018.1497461
Access Statistics for this article
Journal of Simulation is currently edited by Christine Currie
More articles in Journal of Simulation from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().