On perishable inventory in healthcare: random expiration dates and age discriminated demand

Doraid Dalalah, Udechukwu Ojiako*, Maxwell Chipulu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)
52 Downloads (Pure)

Abstract

The aim of the study is to explore how best to mitigate against inventory volatility in perishable inventory, which is characterized by random premature expiration, random demand, irregular supply, age differentiated demand and custom replenishment guidelines. Through the adoption of simulation-optimization along with new settings and replenishment policies, the optimized quantity level of daily orders could be determined for this combination of inventory restrictions. Owed to their custom medical compatibility guidelines, and their notable accelerated expiration, blood platelets were considered here. As study outcome, the emergent model presents a perspective of supply chains and their healthcare imperatives that will enable healthcare supply chain managers not only to discern, but also to interpret and facilitate the management and implementation of optimal inventories.
Original languageEnglish
Pages (from-to)458-479
Number of pages22
JournalJournal of Simulation
Volume16
Issue number5
Early online date21 Dec 2020
DOIs
Publication statusPublished - 30 Sept 2022

Keywords

  • blood platelets
  • differentiated demand
  • optimisation
  • perishable inventory
  • random ageing
  • simulation

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