Simulation-optimization model for production planning in the blood supply chain

Andres F. Osorio (), Sally C. Brailsford, Honora K. Smith, Sonia P. Forero-Matiz and Bernardo A. Camacho-Rodríguez
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Andres F. Osorio: University of Southampton
Sally C. Brailsford: University of Southampton
Honora K. Smith: University of Southampton
Sonia P. Forero-Matiz: Hemocentro Distrital
Bernardo A. Camacho-Rodríguez: Hemocentro Distrital

Health Care Management Science, 2017, vol. 20, issue 4, No 7, 548-564

Abstract: 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 The results show that, using the proposed model, key indicators such as shortages, outdated units, donors required and cost are improved.

Keywords: Production planning; Blood supply chain; Blood collection; Simulation; Optimization (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (12)

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DOI: 10.1007/s10729-016-9370-6

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