Stochastic Inventory Model for Minimizing Blood Shortage and Outdating in a Blood Supply Chain under Supply and Demand Uncertainty
Joint Authors
Source
Journal of Healthcare Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-01
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Purpose.
Blood, like fresh produce, is a perishable element, with platelets having a limited lifetime of five days and red blood cells lasting 42 days.
To manage the blood supply chain more effectively under demand and supply uncertainty, it is of considerable importance to developing a practical blood supply chain model.
This paper proposed an essential blood supply chain model under demand and supply uncertainty.
Methods.
This study focused on how to manage the blood supply chain under demand and supply uncertainty effectively.
A stochastic mixed-integer linear programming (MILP) model for the blood supply chain is proposed.
Furthermore, this study conducted a sensitivity analysis to examine the impacts of the coefficient of demand and supply variation and the cost parameters on the average total cost and the performance measures (units of shortage, outdated units, inventory holding units, and purchased units) for both the blood center and hospitals.
Results.
Based on the results, the hospitals and the blood center can choose the optimal ordering policy that works best for them.
From the results, we observed that when the coefficient of demand and supply variation is increased, the expected supply chain cost increased with more outdating units, shortages units, and holding units due to the impacts of supply and demand fluctuation.
Variation in the inventory holding and expiration costs has an insignificant effect on the total cost.
Conclusions.
The model developed in this paper can assist managers and pathologists at the blood donation centers and hospitals to determine the most efficient inventory policy with a minimum cost based on the uncertainty of blood supply and demand.
The model also performs as a decision support system to help health care professionals manage and control blood inventory more effectively under blood supply and demand uncertainty, thus reducing shortage of blood and expired wastage of blood.
American Psychological Association (APA)
Shih, Han& Rajendran, Suchithra. 2020. Stochastic Inventory Model for Minimizing Blood Shortage and Outdating in a Blood Supply Chain under Supply and Demand Uncertainty. Journal of Healthcare Engineering،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1186608
Modern Language Association (MLA)
Shih, Han& Rajendran, Suchithra. Stochastic Inventory Model for Minimizing Blood Shortage and Outdating in a Blood Supply Chain under Supply and Demand Uncertainty. Journal of Healthcare Engineering No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1186608
American Medical Association (AMA)
Shih, Han& Rajendran, Suchithra. Stochastic Inventory Model for Minimizing Blood Shortage and Outdating in a Blood Supply Chain under Supply and Demand Uncertainty. Journal of Healthcare Engineering. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1186608
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186608