269. A Scheduling Tool for the Production of Blood Components
Contributed abstract in session TC-1: Poster session, stream Posters.
Tuesday, 14:00-15:30Room: Auditorium
Authors (first author is the speaker)
| 1. | Aleyna Gürsoy
|
| University of Bergamo | |
| 2. | ROBERTO PINTO
|
| Management, Information and Production Engineering, University of Bergamo | |
| 3. | Federico Piccinini
|
| Delcon | |
| 4. | Davide Ghezzi
|
| Delcon | |
| 5. | Silvano Rossini
|
| Niguarda Hospital | |
| 6. | Ettore Lanzarone
|
| DIGIP, University of Bergamo |
Abstract
The production echelon of the Blood Donation Supply Chain (BDSC) is responsible for manufacturing/separating blood components, e.g., erythrocytes, plasma and platelets, from donated whole blood units. Different fractionation sequences are possible, all of which share the idea of centrifuging blood, so that the different components are divided according to density, and separating components from each other with an extractor. The main decisions concern the timing of operations, due to tight time constrains for processing blood and components, and the use of resources, e.g., equipment and human operators.
We propose a two-phase approach for solving the scheduling problem of this production system, where the two phases refer to the activities performed before and after the so-called quarantine period, in which the semi-processed blood is refrigerated pending the results of the tests for infectious diseases. The problem of each phase is formalized through an ILP model. Problems are then addressed with a rolling horizon approach, and possible delays on a phase reduce the availability of resources for the next one.
The proposed approach is applied to data from the Immunohematology and Transfusion Medicine Department of the Niguarda Hospital, Milan, Italy. Both its current system layout, to support production, and modified layouts, to identify the most promising ones, are considered.
Keywords
- Resource scheduling
- Decision support
- Workforce planning and scheduling
Status: accepted
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