A column generation-based approach for the adaptive stochastic blood donation tailoring problem
dc.contributor.author | Elyasi, Milad | |
dc.contributor.author | Özener, Okan Örsan | |
dc.contributor.author | Yanıkoğlu, İhsan | |
dc.contributor.author | Ekici, Ali | |
dc.contributor.author | Dolgui, A. | |
dc.date.accessioned | 2024-01-26T10:39:06Z | |
dc.date.available | 2024-01-26T10:39:06Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 0020-7543 | en_US |
dc.identifier.uri | http://hdl.handle.net/10679/9103 | |
dc.identifier.uri | https://www.tandfonline.com/doi/full/10.1080/00207543.2023.2288866?scroll=top&needAccess=true | |
dc.description.abstract | Managing blood donations is a challenging problem due to the perishability of blood, limited donor pool, deferral time restrictions, and demand uncertainty. The problem addressed here combines two important aspects of blood supply chain management: the inventory control of blood products and the donation schedule. We propose a stochastic scenario-based reformulation of the blood donation management problem that adopts multicomponent apheresis and utilises donor pool segmentation into here-and-now and wait-and-see donors. We propose a flexible donation scheme that is resilient against demand uncertainty. This scheme enables more flexible donation schedules because wait-and-see donors may adjust their donation schedules according to the realised values of demand over time. We propose a column generation-based approach to solve the associated multi-stage stochastic donation tailoring problem. The numerical results show the effectiveness of the proposed optimisation model, which provides solutions with less than a 7% optimality gap on average with respect to a lower bound. It also improves the operational cost of the standard donation scheme that does not use wait-and-see donors by more than 18% on average. Utilising multicomponent apheresis and flexible wait-and-see donations are suggested for donation organisations because they yield significant cost reductions and resilient donation schedules. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Taylor & Francis | en_US |
dc.relation.ispartof | International Journal of Production Research | |
dc.rights | restrictedAccess | |
dc.title | A column generation-based approach for the adaptive stochastic blood donation tailoring problem | en_US |
dc.type | Article | en_US |
dc.peerreviewed | yes | en_US |
dc.publicationstatus | Published online | en_US |
dc.contributor.department | Özyeğin University | |
dc.contributor.authorID | (ORCID 0000-0002-9291-1877 & YÖK ID 21945) Özener, Örsan | |
dc.contributor.authorID | (ORCID 0000-0002-7216-4739 & YÖK ID 234526) Yanıkoğlu, İhsan | |
dc.contributor.authorID | (ORCID 0000-0002-9627-4780 & YÖK ID 124801) Ekici, Ali | |
dc.contributor.ozuauthor | Özener, Okan Örsan | |
dc.contributor.ozuauthor | Yanıkoğlu, İhsan | |
dc.contributor.ozuauthor | Ekici, Ali | |
dc.identifier.wos | WOS:001153903400001 | |
dc.identifier.doi | 10.1080/00207543.2023.2288866 | en_US |
dc.subject.keywords | Blood supply chain | en_US |
dc.subject.keywords | Column generation | en_US |
dc.subject.keywords | Multicomponent apheresis | en_US |
dc.subject.keywords | SDG 3 | en_US |
dc.subject.keywords | Good health and well-being | en_US |
dc.subject.keywords | Stochastic methods | en_US |
dc.identifier.scopus | SCOPUS:2-s2.0-85178448684 | |
dc.contributor.ozugradstudent | Elyasi, Milad | |
dc.relation.publicationcategory | Article - International Refereed Journal - Institutional Academic Staff and PhD Student |
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