Blood platelet production: Optimization by dynamic programming and simulation

Haijema, R.; Wal, J. van der; Dijk, N.M. van

doi:10.1016/j.cor.2005.03.023

Cited by 190 publications

(137 citation statements)

References 23 publications

Supporting

Mentioning

134

Contrasting

Unclassified

Order By: Relevance

“…In the blood supply chain, optimization models have been used less frequently than in industrial supply chains. Approaches such as dynamic programming have been used in the blood supply chain to study the case of platelets, as seen in Haijema et al [23], Haijema et al [24] and more recently in Abdulwahab and Wahab [36]. The shelf life of platelets is only five days, making it possible to apply analytical techniques.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

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

Osorio

Brailsford

Smith

et al. 2016

Health Care Manag Sci

View full text Add to dashboard Cite

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 The results show that, using the proposed model, key indicators such as shortages, outdated units, donors required and cost are improved.

show abstract

Section: Methodsmentioning

confidence: 99%

“…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

View full text Add to dashboard Cite

show abstract

“…Several studies (Naseer, Eldabi, Jahangirian, & Stergioulas, 2008;Katsaliaki & Mustafee, 2011) replenishment through coordinating the procurement and distribution operations while respecting inventory capacities. Haijema, van der Wal and van Dijk (2007) and Kopach, Balcio lu and Carter (2008) ǧ dealt with the optimization problem of production and inventory management of blood supplies. Jacobson, Sewell, Proano and Jokela (2006) captured the relationship between vaccine supply and vaccine demand to calculate pediatric vaccine stock levels necessary for avoiding interruptions in vaccination schedules for children.…”

Section: Literature Analysismentioning

confidence: 99%

A way for reducing drug supply chain cost for a hospital district: A case study

Postacchini

Ciarapica

Mazzuto

2016

JIEM

View full text Add to dashboard Cite

Abstract:Purpose: This work aims at providing insights to optimise healthcare logistic of the drug management, in order to deal with the healthcare expenditure cut. In this paper the effects of different drug supply chain configurations, on the resulting average stock, service level and Bullwhip effect, of the studied supply chain, is quantitatively assessed. Findings: The output of this paper provides useful insights and suggestions to optimize the healthcare logistic and drug supply chain. According to the developed DoE analysis, it can be stated that the introduction of transshipment policies provides important improvement in terms of service and stock levels. To reduce the Bullwhip effect, which results in a service level decreasing, and in a managing stock costs increasing, it is worth to adopt an EOQ re-order policy. Practical implications:This research gives practical recommendations to the studied system, in order to reduce costs and maintain a very satisfactory service level.Originality/value: This paper fulfils an identified need to study which combination of transshipment policies, re-order/inventory management policies and required service levels, can be the best one to reduce costs and maintain a very satisfactory service level, in the specific logistic system.

show abstract

“…In Haijema et al [2007] a combined approach for the blood platelet inventory problem has therefore been followed, which combines OR and simulation by the following steps:…”

Section: Combined Optimization-simulation Approachmentioning

confidence: 99%

“…Main reason is the computational complexity involved in determining an optimal stock-age dependent policy Blake et al [2003]. This gap is investigated in the following papers: Haijema et al [2007], , . In these papers optimal stock-age dependent order policies are derived and methods are presented that use simulation in combination with optimization to derive improved but simple ordering policies as well as a way for finding nearly optimal order-up-to levels.…”

Section: Literaturementioning

confidence: 99%

OR and Simulation in Combination for Optimization

Dijk

Haijema

Sluis

et al. 2015

Applied Simulation and Optimization

Self Cite

View full text Add to dashboard Cite

This chapter aims to promote and illustrate the fruitful combination of classical Operations Research (OR) and Computer Simulation. First, a highly instructive example of parallel queues will be studied. This simple example already shows the necessary combination of OR (queueing) and simulation that appears to be of practical interest such as for call center optimization. Next, two more 'real life' applications are regarded:• blood platelet production and inventory management at blood banks, and • train conflict resolution for railway junctions.Both applications show the useful combination of Simulation and optimization methods from OR, in particular Stochastic Dynamic Programming (SDP) and Markov decision theory (MDP), to obtain simple rules that are nearly optimal. The results are based on real life Dutch case studies and show that this combined OR-Simulation approach can be most useful for 'practical optimization' and that it is still wide open for further application.

show abstract

Blood platelet production: Optimization by dynamic programming and simulation

Cited by 190 publications

References 23 publications

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

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

A way for reducing drug supply chain cost for a hospital district: A case study

OR and Simulation in Combination for Optimization

Contact Info

Product

Resources

About