Publication Type
Journal Article
Version
acceptedVersion
Publication Date
7-2023
Abstract
Problem definition: In the blood-donor-management problem, the blood bank incentivizes donors to donate, given blood inventory levels. We propose a model to optimize such incentivization schemes under the context of random demand, blood perishability, observation period between donations, and variability in donor arrivals and dropouts. Methodology/results: We propose an optimization model that simultaneously accounts for the dynamics in the blood inventory and the donor’s donation process, as a coupled queueing network. We adopt the Pipeline Queue paradigm, which leads us to a tractable convex reformulation. The coupled setting requires new methodologies to be developed upon the existing Pipeline Queue framework. Numerical results demonstrate the advantages of the optimal policy by comparing it with the commonly adopted and studied threshold policy. Our optimal policy can effectively reduce both shortages and wastage. Managerial implications: Our model is the first to operationalize a dynamic donor-incentivization scheme, by determining the optimal number of donors of different donation responsiveness to receive each type of incentive. It can serve as a decision-support tool that incorporates practical features of blood supply-chain management not addressed thus far, to the best of our knowledge. Simulations on existing policies indicate the dangers of myopic approaches and justify the need for smoother and forward-looking donor-incentivization schedules that can hedge against future demand variation. Our model also has potential wider applications in supply chains with perishable inventory.
Keywords
Pipeline Queues, blood collection, donor management, humanitarian operations, perishable inventory management
Discipline
Nonprofit Administration and Management | Operations and Supply Chain Management | Operations Research, Systems Engineering and Industrial Engineering
Research Areas
Operations Management
Publication
Manufacturing & Service Operations Management
Volume
25
Issue
4
First Page
1585
Last Page
1602
ISSN
1523-4614
Identifier
10.1287/msom.2023.1228
Publisher
Institute for Operations Research and Management Sciences
Citation
ZHU, Taozeng; YEO, Nicholas Teck Boon; GAO, Sarah Yini; and LOKE, Gar Goei.
Inventory-responsive donor-management policy: A tandem queueing network model. (2023). Manufacturing & Service Operations Management. 25, (4), 1585-1602.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/7260
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1287/msom.2023.1228
Included in
Nonprofit Administration and Management Commons, Operations and Supply Chain Management Commons, Operations Research, Systems Engineering and Industrial Engineering Commons