Simulation-optimization model for production planning in the blood supply chain
Simulation-optimization model for production planning in the blood supply chain
Production planning in the blood supply chain is a challenging task. Many complex factors such as uncertain supply and demand, blood group proportions, shelf life constraints and different collection and production methods have to be taken into account, and thus advanced methodologies are required for decision making. This paper presents an integrated simulation-optimization model to support both strategic and operational decisions in production planning. Discrete-event simulation is used to represent the flows through the supply chain, incorporating collection, production, storing and distribution. On the other hand, an integer linear optimization model running over a rolling planning horizon is used to support daily decisions, such as the required number of donors, collection methods and production planning. This approach is evaluated using real data from a blood center in Colombia. The results show that, using the proposed model, key indicators such as shortages, outdated units, donors required and cost are improved.
548-564
Osorio, Andres F.
26b91481-7f68-4fea-90f8-4b3e027d7959
Brailsford, Sally
634585ff-c828-46ca-b33d-7ac017dda04f
Smith, Honora
1eaef6a6-4b9c-4997-9163-137b956c06b5
Forero-Matiz, Sonia P.
ae564727-8b83-48b0-88f8-805d2490dc1b
Camacho-Rodríguez, Bernardo A.
4eab2fdc-7817-4432-ac4b-72357b1da24f
December 2017
Osorio, Andres F.
26b91481-7f68-4fea-90f8-4b3e027d7959
Brailsford, Sally
634585ff-c828-46ca-b33d-7ac017dda04f
Smith, Honora
1eaef6a6-4b9c-4997-9163-137b956c06b5
Forero-Matiz, Sonia P.
ae564727-8b83-48b0-88f8-805d2490dc1b
Camacho-Rodríguez, Bernardo A.
4eab2fdc-7817-4432-ac4b-72357b1da24f
Osorio, Andres F., Brailsford, Sally and Smith, Honora et al.
(2017)
Simulation-optimization model for production planning in the blood supply chain.
Health Care Management Science, 20 (4), .
(doi:10.1007/s10729-016-9370-6).
Abstract
Production planning in the blood supply chain is a challenging task. Many complex factors such as uncertain supply and demand, blood group proportions, shelf life constraints and different collection and production methods have to be taken into account, and thus advanced methodologies are required for decision making. This paper presents an integrated simulation-optimization model to support both strategic and operational decisions in production planning. Discrete-event simulation is used to represent the flows through the supply chain, incorporating collection, production, storing and distribution. On the other hand, an integer linear optimization model running over a rolling planning horizon is used to support daily decisions, such as the required number of donors, collection methods and production planning. This approach is evaluated using real data from a blood center in Colombia. The results show that, using the proposed model, key indicators such as shortages, outdated units, donors required and cost are improved.
Text
Osorio,Brailsford,Smith,Forero,Camacho2016.pdf
- Accepted Manuscript
More information
Accepted/In Press date: 24 May 2016
e-pub ahead of print date: 4 June 2016
Published date: December 2017
Organisations:
Mathematical Sciences, Southampton Business School
Identifiers
Local EPrints ID: 395263
URI: http://eprints.soton.ac.uk/id/eprint/395263
ISSN: 1386-9620
PURE UUID: e8be43f0-f68e-4d9a-bc0c-95083247123f
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Date deposited: 26 May 2016 10:14
Last modified: 15 Mar 2024 05:36
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Contributors
Author:
Andres F. Osorio
Author:
Sonia P. Forero-Matiz
Author:
Bernardo A. Camacho-Rodríguez
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