Designing a bi-objective and multi-product supply chain network for the supply of blood

Abstract: During the past few years, operations research applications in health care operation management have grown quickly. On the other hand blood as a perishable, valuable and lifesaving product is one important asset of any healthcare center. Therefore, designing a blood supply network comes to importance. It also should be noted that a blood supply chain comprises specific modifications. This study intends to locate blood bank components in a network, and to determine the allocations among the network components. The supply chain components considered in this study are donation sites, testing and processing labs, blood banks, and demand points. It is known that demand centers such as hospitals and clinics highly depend on blood products and any deficiency in procurement can even result in a person’s death. Thus, in the last layer of the considered network a transshipment sub-network is considered between demand points. Most of the intricacies in problem formulation of blood supply chain are regarded in this study; cases such as blood wastage, blood product decomposition in lab facilities, and transshipments between demand points. Due to the fact that for such an important and lifesaving supply chain the aim would go beyond minimizing cost, another objective function is presented for the problem. Hence, to obtain a Pareto solution for both objective functions ?-constraint method is utilized. Finally, to demonstrate the applicability of the problem, the model is implemented on a number of problem sets.

How to cite this paper

 Arvan, M., Tavakkoli-Moghaddam, R & Abdollahi, M. (2015). Designing a bi-objective and multi-product supply chain network for the supply of blood.Uncertain Supply Chain Management, 3(1), 57-68.

Refrences

Beliën, J. & Forcé, H. (2012). Supply chain management of blood products: A literature review. European Journal of Operational Research, 217, 1-16.

Cetin, E. & Sarul, L. S. (2009). A blood bank location model: A multiobjective approach. European Journal of Pure and Applied Mathematics, 2, 112-124.

Daskin, M. S., Coullard, C. R., & Shen, Z. J. M. (2002). An inventory-location model: Formulation, solution algorithm and computational results. Annals of Operations Research, 110(1-4), 83-106.

Far, R. M., Rad, F. S., Abdolazimi, Z., & Kohan, M. M. D. (2014). Determination of Rate and Causes of Wastage of Blood and Blood Products in Iranian Hospitals. Turkish Journal of Hematology, 31(2), 161.

Jabbarzadeh, A., Fahimnia, B., & Seuring, S. (2014). Dynamic supply chain network designfor the supplyofblood in disasters:A robust modelwithreal world application. Transportation Research Part E. 70, 244-255.

Katsaliaki, K. (2008). Cost-effective practices in the blood service sector. Health policy, 86, 276-287.

Kendall, K. E. & Lee, S. M. (1980). Formulating blood rotation policies with multiple objectives. Management Science, 26, 1145-1157.

Or, I. & Pierskalla, W. P. (1979). A transportation location-allocation model for regional blood banking. AIIE transactions, 11, 86-95.

Mavrotas, G. (2009). Effective implementation of the ?-constraint method in Multi-Objective Mathematical Programming problems. Applied Mathematics and Computation, 213, 455-465.

Nagurney, A., Masoumi, A. H. & Yu, M. (2012). Supply chain network operations management of a blood banking system with cost and risk minimization. Computational Management Science, 9, 205-231.

Pierskalla, W. (2005). Supply chain management of blood banks. Operations Research and Health Care, 103-145.

?ahin, G., Süral, H. & Meral, S. (2007). Locational analysis for regionalization of Turkish Red Crescent blood services. Computers & Operations Research, 34, 692-704.

Sapountzis, C. (1989). Allocating blood to hospitals. Journal of the Operational Research Society, 443-449.

Schreiber, G. B., Schlumpf, K. S., Glynn, S. A., Wright, D. J., Tu, Y., King, M. R., Higgins, M. J., Kessler, D., Gilcher, R. & Nass, C. C. (2006). Convenience, the bane of our existence, and other barriers to donating. Transfusion, 46, 545-553.

Sha, Y., & Huang, J. (2012). The multi-period location-allocation problem of engineering emergency blood supply systems. Safety and Emergency and System Engineering. 5, 21–28.