Blood platelet production: a novel approach for practical optimization

Dijk, Nico van; Haijema, R.; Wal, J. van der; Sibinga, Cees Smit

doi:10.1111/j.1537-2995.2008.01996.x

Cited by 118 publications

(74 citation statements)

References 13 publications

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“…Special attention has been paid to platelets in the past decade. Haijema et al [23], Haijema et al [24] and van Dijk et al [25] develop a Markovian model to represent decisions on production and inventories of platelets. Multiple periods, special periods such as weekends and different types of demand are included in the model.…”

Section: Production Stagementioning

confidence: 99%

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

Osorio

Brailsford

Smith

et al. 2016

Health Care Manag Sci

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 The results show that, using the proposed model, key indicators such as shortages, outdated units, donors required and cost are improved.

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Section: Production Stagementioning

confidence: 99%

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

Osorio

Brailsford

Smith

et al. 2016

Health Care Manag Sci

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“…Several studies have documented the issues related to PLT inventory management and explored ways to reduce the outdate of PLT products. Various authors have used impressive computer models, mathematical equations, and data collection modalities to address inventory management issues 1‐4 . The basic principle of “first in, first out” 5 has been widely adopted to minimize outdating.…”

mentioning

confidence: 99%

A comprehensive program to minimize platelet outdating

et al. 2011

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We have identified three elements of our transfusion service that can minimize outdate: a knowledgeable proactive staff dedicated to PLT management, a comprehensive computer-based transfusion history for each patient, and a strong two-way relationship with the primary product supplier. Through our comprehensive program, based on the principles of providing optimal patient care, we have minimized PLT outdating for more than 10 years.

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“…Haijema et al (2007) proposed a combined Markov dynamic programming and simulation approach for production management and inventory optimization of blood platelet and applied it to a Dutch blood bank. Haijema et al (2009) also studied the production and inventory management of blood platelets in breaks such as Easter and Christmas by applying stochastic dynamic programming and simulation. Van Dijk et al (2009) combined stochastic dynamic programming and simulation to optimize blood platelet production.…”

Section: Introductionmentioning

confidence: 99%

“…Haijema et al (2009) also studied the production and inventory management of blood platelets in breaks such as Easter and Christmas by applying stochastic dynamic programming and simulation. Van Dijk et al (2009) combined stochastic dynamic programming and simulation to optimize blood platelet production. Nagurney et al (2012) developed an optimization model for procurement, testing, processing, and distribution of blood using variational inequality approach for model formulation and solution.…”

Section: Introductionmentioning

confidence: 99%

Solving a bi-objective mathematical programming model for bloodmobiles location routing problem

Rabbani¹,

Aghabegloo²,

Farrokhi-Asl³

2017

10.5267/j.ijiec

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Perishability of platelets, uncertainty of donors' arrival and conflicting views in platelet supply chain have made platelet supply chain planning a problematic issue. In this paper, mobile blood collection system for platelet production is investigated. Two mathematical models are presented to cover the bloodmobile collection planning problem. The first model is a multi-objective fuzzy mathematical programming in which the bloodmobiles locations are considered with the aim of maximizing potential amount of blood collection and minimizing the operational cost. The second model is a vehicle routing problem with time windows which studies the shuttles routing problem. To tackle the first model, it is reformulated as a crisp multi objective linear programming model and then solved through a fuzzy multi objective programming approach. Several sensitivity analysis are conducted on important parameters to demonstrate the applicability of the proposed model. The proposed model is then solved by using a tailored Simulated Annealing (SA) algorithm. The numerical results demonstrate promising efficiency of the proposed solution method.

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Blood platelet production: a novel approach for practical optimization

Abstract: In this article the worlds of blood management and the mathematical discipline of OR are brought together for the optimization of blood PLT production. This leads to simple nearly optimal blood PLT production policies that are suitable for practical implementation.

Cited by 118 publications

References 13 publications

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

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

A comprehensive program to minimize platelet outdating

Solving a bi-objective mathematical programming model for bloodmobiles location routing problem

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