The public session for the CAT presentation of the PhD Thesis Report submitted by Maria Odete de Oliveira Meneses, entitled “Integrating Collection Planning and Inventory Management in the Blood Supply Chain”, will take place on May 9th 2022, at 2:30 pm, via Zoom > Link here
Meeting ID: 869 0405 0712
Password: 206169
The Comittee is composed by:
Chairperson: Prof. Bruna Alexandra Elias Mota (IST)
Prof. Teresa Sofia Sardinha Cardoso de Gomes Grilo (ISCTE)
Supervisor: Prof. Ana Paula Ferreira Dias Barbosa Póvoa (IST)
Co-supervisor: Prof. Daniel Rebelo dos Santos (IST)
Abstract
In the complex context of the blood supply chain, mainly due to the uncertain environment, service level requirements, and perishability of donations and blood products, there is a need for integrated planning to handle this scarce resource efficiently to guarantee the proper availability of blood products to satisfy demand. Collection goals should be aligned with production and inventory decisions and pulled by accurate demand predictions. This PhD thesis aims to address this challenge by developing optimization models to help the decision-making process of such activities for an effective integrated blood supply chain. For this purpose, a three-phase approach will be employed. The first phase comprises a detailed discussion on how the strategic, tactical, and operational planning problems have been treated in the blood supply chain literature in order to identify the key linkages to consider in an integrated solution approach for the Blood Supply Chain management. Given such knowledge, in the second phase, three optimization models are to be developed. At the tactical planning level, an optimization model will be developed to handle the Collection and Production strategy. At the tactical-operational planning level, another model is to be developed with a focus on inventory management. These stages are then linked to the final stage, which will focus on short-term Collection and Production scheduling. Uncertainty regarding the critical parameters in all stages will be considered. Finally, the developed models and techniques will be applied to the Portuguese blood supply chain network, allowing the validation of the developed tools using real data.