Stochastic Inventory Model for Minimizing Blood Shortage and Outdating in a Blood Supply Chain under Supply and Demand Uncertainty

Joint Authors

Shih, Han
Rajendran, Suchithra

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

Public Health
Medicine

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and supply variation and the cost parameters on the average total cost and the performance measures (units of shortage, outdated units, inventory holding units, and purchased units) for both the blood center and hospitals.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