References
- American Red Cross. (2017). Blood facts and statistics: Facts about the blood supply [EB/OL]. http://www.redcrossblood.org/learn-about-blood/blood-facts-and-statistics.
- Bassok, Y., Anupindi, R., & Akella, R. (1999). Single-period multiproduct inventory models with substitution. Operations Research, 47(4), 632–642. https://doi.org/https://doi.org/10.1287/opre.47.4.632
- Beliën, J., & Forcé, H. (2012). Supply chain management of blood products: A literature review. European Journal of Operational Research, 217(1), 1–16. https://doi.org/https://doi.org/10.1016/j.ejor.2011.05.026
- Blake, J., Heddle, N., Hardy, M., & Barty, R. (2010). Simplified platelet ordering using shortage and outdate targets. International Journal of Health Management and Information, 1, 144–156.
- Bollapragada, R., Rao, U. S., & Zhang, J. (2004). Managing inventory and supply performance in assembly systems with random supply capacity and demand. Management Science, 50(12), 1729–1743. https://doi.org/https://doi.org/10.1287/mnsc.1040.0314
- Chen, S., Li, Y., & Zhou, W. (2019). Joint decisions for blood collection and platelet inventory control. Production and Operations Management, 28(7), 1674–1691. https://doi.org/https://doi.org/10.1111/poms.13009
- Chen, X., Liu, L., & Guo, X. (2020). Analysing repeat blood donation behavior via big data. Industrial Management & Data Systems, in press. https://doi.org/https://doi.org/10.1108/IMDS-07-2020-0393
- Chen, X., Wang, X., & Xia, Y. (2019). Production coopetition strategies for competing manufacturers that produce partially substitutable products. Production and Operations Management, 28(6), 1446–1464. https://doi.org/https://doi.org/10.1111/poms.12998
- Chen, X., Wu, S., & Guo, X. (2020). Analyses of factors influencing Chinese repeated blood donation behavior. Industrial Management & Data Systems, 120(3), 486–507. https://doi.org/https://doi.org/10.1108/IMDS-09-2019-0509
- Chung, Y. T., & Erhun, F. (2013). Designing supply contracts for perishable goods with two periods of shelf life. IIE Transactions, 45(1), 53–67. https://doi.org/https://doi.org/10.1080/0740817X.2012.654847
- Civelek, I., Karaesmen, I., & Scheller-Wolf, A. (2015). Blood platelet inventory management with protection levels. European Journal of Operational Research, 243(3), 826–838. https://doi.org/https://doi.org/10.1016/j.ejor.2015.01.023
- Dillon, M., Oliveira, F., & Abbasi, B. (2017). A two-stage stochastic programming model for inventory management in the blood supply chain. International Journal of Production Economics, 187, 27–41. https://doi.org/https://doi.org/10.1016/j.ijpe.2017.02.006
- Fontaine, M. J., Chung, Y. T., Rogers, W. M., Sussmann, H. D., Quach, P., Galel, S. A., Goodnough, L. T., & Erhun, F. (2009). Improving platelet supply chains through collaborations between blood centers and transfusion services. Transfusion, 49(10), 2040–2047. https://doi.org/https://doi.org/10.1111/j.1537-2995.2009.02236.x
- Ghandforoush, P., & Sen, T. K. (2010). A DSS to manage platelet production supply chain for regional blood centers. Decision Support Systems, 50(1), 32–42. https://doi.org/https://doi.org/10.1016/j.dss.2010.06.005
- Haijema, R., van der Wal, J., & van Dijk, N. M. (2007). Blood platelet production: Optimization by dynamic programming and simulation. Computers & Operations Research, 34(3), 760–779. https://doi.org/https://doi.org/10.1016/j.cor.2005.03.023
- Haijema, R., van Dijk, N., van der Wal, J., & Sibinga, C. S. (2009). Blood platelet production with breaks: Optimization by SDP and simulation. International Journal of Production Economics, 121(2), 464–473. https://doi.org/https://doi.org/10.1016/j.ijpe.2006.11.026
- Henig, M., & Gerchak, Y. (1990). The structure of periodic review policies in the presence of random yield. Operations Research, 38(4), 634–643. https://doi.org/https://doi.org/10.1287/opre.38.4.634
- Hosseinifard, Z., Abbasi, B., Fadaki, M., & Clay, N. M. (2020). Postdisaster volatility of blood donations in an unsteady blood supply chain. Decision Sciences, 51(2), 255–281. https://doi.org/https://doi.org/10.1111/deci.12381
- Ignall, E., & Veinott, A. F. Jr. (1969). Optimality of myopic inventory policies for several substitute products. Management Science, 15(5), 284–304. https://doi.org/https://doi.org/10.1287/mnsc.15.5.284
- Kendall, K. E., & Lee, S. M. (1980). Formulating blood rotation policies with multiple objectives. Management Science, 26(11), 1145–1157. https://doi.org/https://doi.org/10.1287/mnsc.26.11.1145
- Lee, C., & Park, K. S. (2016). Inventory and transshipment decisions in the rationing game under capacity uncertainty. Omega, 65, 82–97. https://doi.org/https://doi.org/10.1016/j.omega.2016.01.001
- Luo, Z., & Chen, X. (2019). Blood ordering and collection problems with two demand classes and emergency replenishment. Journal of the Operational Research Society. https://doi.org/https://doi.org/10.1080/01605682.2019.1700181
- Netessine, S., & Rudi, N. (2003). Centralized and competitive inventory models with demand substitution. Operations Research, 51(2), 329–335. https://doi.org/https://doi.org/10.1287/opre.51.2.329.12788
- Osorio, A. F., Brailsford, S. C., & Smith, H. K. (2018). Whole blood or apheresis donations? A multi-objective stochastic optimization approach. European Journal of Operational Research, 266(1), 193–204. https://doi.org/https://doi.org/10.1016/j.ejor.2017.09.005
- Parlar, M. (1988). Game theoretic analysis of the substitutable product inventory problem with random demands. Naval Research Logistics, 35(3), 397–409. https://doi.org/https://doi.org/10.1002/1520-6750(198806)35:3<397::AID-NAV3220350308>3.0.CO;2-Z
- Pasternack, B. A., & Drezner, Z. (1991). Optimal inventory policies for substitutable commodities with stochastic demand. Naval Research Logistics (Logistics), 38(2), 221–240. https://doi.org/https://doi.org/10.1002/1520-6750(199104)38:2<221::AID-NAV3220380208>3.0.CO;2-7
- Pierskalla, W. P., & Roach, C. D. (1972). Optimal issuing policies for perishable inventory. Management Science, 18(11), 603–614. https://doi.org/https://doi.org/10.1287/mnsc.18.11.603
- Prastacos, G. P. (1984). Blood inventory management: An overview of theory and practice. Management Science, 30(7), 777–800. https://doi.org/https://doi.org/10.1287/mnsc.30.7.777
- Puranam, K., Novak, D. C., Lucas, M. T., & Fung, M. (2017). Managing blood inventory with multiple independent sources of supply. European Journal of Operational Research, 259(2), 500–511. https://doi.org/https://doi.org/10.1016/j.ejor.2016.11.005
- Stroncek, D. F., & Rebulla, P. (2007). Platelet transfusions. The Lancet, 370(9585), 427–438. https://doi.org/https://doi.org/10.1016/S0140-6736(07)61198-2
- Tan, B., Feng, Q., & Chen, W. (2016). Dual sourcing under random supply capacities: The role of the slow supplier. Production and Operations Management, 25(7), 1232–1244. https://doi.org/https://doi.org/10.1111/poms.12548
- Van Dijk, N., Haijema, R., Van Der Wal, J., & Sibinga, C. S. (2009). Blood platelet production: A novel approach for practical optimization. Transfusion, 49(3), 411–420. https://doi.org/https://doi.org/10.1111/j.1537-2995.2008.01996.x
- Williamson, L. M., & Devine, D. V. (2013). Challenges in the management of the blood supply. The Lancet, 381(9880), 1866–1875. https://doi.org/https://doi.org/10.1016/S0140-6736(13)60631-5
- Ye, T. (2014). Inventory management with simultaneously horizontal and vertical substitution. International Journal of Production Economics, 156, 316–324. https://doi.org/https://doi.org/10.1016/j.ijpe.2014.06.017
- Zhang, Y., Hua, G., Wang, S., Zhang, J., & Fernandez, V. (2018). Managing demand uncertainty: Probabilistic selling versus inventory substitution. International Journal of Production Economics, 196, 56–67. https://doi.org/https://doi.org/10.1016/j.ijpe.2017.10.001
- Zhou, D., Leung, L. C., & Pierskalla, W. P. (2011). Inventory management of platelets in hospitals: Optimal inventory policy for perishable products with regular and optional expedited replenishments. Manufacturing & Service Operations Management, 13(4), 420–438. https://doi.org/https://doi.org/10.1287/msom.1110.0334