Designing the blood supply chain: how much, how and where?

The topology of the blood supply chain network can take different forms in different settings, depending on geography, politics, costs, etc. Many developed countries are moving towards centralized networks. The goal for all blood distribution networks, regardless of topology, remains the same: to satisfy demand at minimal cost and minimal wastage.

[1]  Seyedeh Zahra Hosseinifard,et al.  The inventory centralization impacts on sustainability of the blood supply chain , 2018, Comput. Oper. Res..

[2]  Mir Saman Pishvaee,et al.  Blood supply chain network design considering blood group compatibility under uncertainty , 2017, Int. J. Prod. Res..

[3]  Andres Osorio Muriel.  Improving the blood supply chain: simulation and optimisation models to support collection, production and location-allocation decisions , 2016 .

[4]  Sally C. Brailsford,et al.  A structured review of quantitative models in the blood supply chain: a taxonomic framework for decision-making , 2015 .

[5]  S. Kleinman,et al.  Trends in United States blood collection and transfusion: results from the 2013 AABB Blood Collection, Utilization, and Patient Blood Management Survey , 2016, Transfusion.

[6]  J. Wal,et al.  Blood platelet production with breaks : optimization by SDP and simulation , 2009 .

[7]  Bryan L. Deuermeyer.  A Multi-Type Production System for Perishable Inventories , 1979, Oper. Res..

[8]  Michael G. H. Bell,et al.  Supply chain design for efficient and effective blood supply in disasters , 2017 .

[9]  Richard Wilding,et al.  Blood inventory management: hospital best practice. , 2012, Transfusion medicine reviews.

[10]  Sally C. Brailsford,et al.  Whole blood or apheresis donations? A multi-objective stochastic optimization approach , 2018, Eur. J. Oper. Res..

[11]  John T. Blake,et al.  Using simulation for strategic blood supply chain design in the Canadian prairies , 2016, 2016 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH).

[12]  Sally C. Brailsford,et al.  Simulation-optimization model for production planning in the blood supply chain , 2017, Health care management science.

[13]  René Haijema,et al.  Blood platelet production: a novel approach for practical optimization , 2009, Transfusion.

[14]  Jan van der Wal,et al.  Blood platelet production: Optimization by dynamic programming and simulation , 2007, Comput. Oper. Res..

[15]  B. Deuermeyer,et al.  A By-Product Production System with an Alternative , 1978 .

[16]  W. Pierskalla,et al.  A Transportation Location-Allocation Model for Regional Blood Banking , 1979 .

[17]  Chris N. Potts,et al.  Location of low-cost blood collection and distribution centres in Thailand , 2016 .

[18]  Marc Goetschalckx,et al.  A stochastic programming approach for supply chain network design under uncertainty , 2004, Eur. J. Oper. Res..

[19]  Haldun Süral,et al.  Locational analysis for regionalization of Turkish Red Crescent blood services , 2007, Comput. Oper. Res..

[20]  G. Mulima,et al.  Consequences of centralised blood bank policies in sub-Saharan Africa. , 2017, The Lancet. Global health.

[21]  E. Çetin,et al.  A Blood Bank Location Model: A Multiobjective Approach , 2009 .

[22]  Reza Ramezanian,et al.  Blood supply chain network design under uncertainties in supply and demand considering social aspects , 2017 .