Abstract：Under supply and demand uncertainty, this paper develops blood supply chain models that incorporate option contracts. And this paper provides insights into the effect of the option contracts and the supply and demand uncertainty on blood supply chain decisions. Firstly, under supply and demand uncertainty, we derive the hospital's optimal procurement policies, as well as the blood centre's optimal production policy in the presence of options contracts. Secondly, the blood supply chain coordination conditions are derived, which are not related to the unit wholesale price, but depend on the blood production random yield rate of raw blood. Finally, we show that there always exists a Pareto contract as compared to the non-coordinating contracts when the blood supply chain is coordinated.
胡本勇, 陈旭. 供需不确定情形下基于期权的血液供应链优化[J]. 系统工程理论与实践, 2016, 36(12): 3133-3141.
HU Benyong, CHEN Xu. Optimization of blood supply chain with option contracts under supply and demand uncertainty. Systems Engineering - Theory & Practice, 2016, 36(12): 3133-3141.
[1] Nagurney A, Masoumi A, Yu M. Supply chain network operations management of a blood banking system with cost and risk minimization[J]. Computational Management Science, 2012, 9(2):205-231. [2] World Health Organization. Spending on health:A global overview[EB/OL]. http://www.who.int/mediacentre/factsheets/fs319/en/,2012. [3] Ghandforoush P, Sen T. A DSS to manage platelet production supply chain for regional blood centers[J]. Decision Support Systems, 2010, 50(1):32-42. [4] Whitaker B, Green J, King M. The 2007 national blood collection and utilization survey report[R]. United States Department of Health and Human Services, 2008. [5] Duan Q, Liao T. Optimization of blood supply chain with shortened shelf lives and ABO compatibility[J]. International Journal of Production Economics, 2014, 153(7):113-129. [6] Stanger S H, Wilding R, Yates N, et al. What drives perishable inventory management performance? Lessons learnt from the UK blood supply chain[J]. Supply Chain Management:An International Journal, 2012, 17(2):107-123. [7] Ritchken P H, Tapiero C S. Contingent claims contracting for purchasing decisions in inventory management[J]. Operations Research, 1986, 34(6):864-870. [8] Barnes-Schuster D, Bassok Y, Anupindi R. Coordination and flexibility in supply contracts with options[J]. Manufacturing & Service Operations Management, 2002, 4(3):171-207. [9] Zhou D, Leung L C, Pierskalla W P. Inventory management of platelets in hospitals:Optimal inventory policy for perishable products with regular and optional expedited replenishments[J]. Manufacturing & Service Operations Management, 2011, 13(4):420-438. [10] Jennings J. Blood bank inventory control[J]. Management Science, 1973, 19(6):637-645. [11] Sirelson V, Brodheim E. A computer planning model for blood platelet production and distribution[J]. Computer Methods and Programs in Biomedicine, 1991, 35(4):279-291. [12] Katsaliaki K, Brailsford S C. Using simulation to improve the blood supply chain[J]. Journal of the Operational Research Society, 2007, 58(2):219-227. [13] Kopach R, Balcioğlu B, Carter M. Tutorial on constructing a red blood cell inventory management system with two demand rates[J]. European Journal of Operational Research, 2008, 185(3):1051-1059. [14] Cumming P, Kendall K, Pegels C, et al. A collections planning model for regional blood suppliers:Description and validation[J]. Management Science, 1976, 22(9):962-971. [15] Prastacos G P, Brodheim E. PBDS:A decision support system for regional blood management[J]. Management Science, 1980, 26(5):451-463. [16] Gregor P J, Forthofer R N, Kapadia A S. An evaluation of inventory and transportation policies of a regional blood distribution system[J]. European Journal of Operational Research, 1982, 10(1):106-113. [17] Van Dijk N, Haijema R, Van Der Wal J, et al. Blood platelet production:A novel approach for practical optimization[J]. Transfusion, 2009, 49(3):411-420. [18] Haijema R, van Dijk N, van der Wal J, et al. Blood platelet production with breaks:Optimization by SDP and simulation[J]. International Journal of Production Economics, 2009, 121(2):464-473. [19] Li Y C, Liao H C. The optimal parameter design for a blood supply chain system by the Taguchi method[J]. International Journal of Innovative Computing, Information and Control, 2012, 8(11):7697-7712. [20] Simonetti A, Forshee R, Anderson S, et al. A stock-and-flow simulation model of the US blood supply[J]. Transfusion, 2014, 54(2):828-838. [21] Wang K M, Ma Z J. Age-based policy for blood transshipment during blood shortage[J]. Transportation Research Part E:Logistics and Transportation Review, 2015, 80(c):166-183. [22] 王恪铭, 马祖军. 应急血液多阶段调剂优化[J].系统工程理论与实践, 2014, 34(7):1687-1696.Wang K M, Ma Z J. Optimization of multi-stage emergency blood transferring[J]. Systems Engineering-Theory & Practice, 2014, 34(7):1687-1696. [23] 马祖军, 孟超. 应急采血对血液安全及报废率的影响分析[J].中国卫生质量管理, 2013, 20(1):82-84.Ma Z J, Meng C. Effects of emergency blood collection on blood safety and discarded rate[J]. Chinese Health Quality Management, 2013, 20(1):82-84. [24] 王恪铭, 马祖军, 周愉峰. 突发事件应急血液调剂问题的两阶段决策方法[J].交通运输系统工程与信息, 2012, 13(1):169-178. Wang K M, Ma Z J, Zhou Y F. A two-phase decision-making approach for emergency blood transferring problem in public emergencies[J]. Journal of Transportation Systems Engineering and Information Technology, 2012, 13(1):169-178. [25] 国家卫生和计划生育委员会. 我国无偿献血工作进展情况[EB/OL]. http://www.moh.gov.cn/mohyzs/s3590/201206/55073.shtml,2012. National Health and Family Planning Commission of the PRC. Progress of the work of voluntary blood donation in China[EB/OL]. http://www.moh.gov.cn/mohyzs/s3590/201206/55073.shtml,2012. [26] NHS Direct. Online health encyclopedia[EB/OL]. www.nhsdirect.nhs.uk/en.aspx?articleID=552,2007. [27] Li Q, Yu P. Multimodularity and its applications in three stochastic dynamic inventory problems[J]. Manufacturing & Service Operations Management, 2014, 16(3):455-463. [28] 胡本勇, 王性玉, 彭其渊. 基于双向期权的供应链柔性契约模型[J]. 管理工程学报, 2008, 22(4):79-84. Hu B Y, Wang X Y, Peng Q Y. Supply chain flexibility contract model based on bidirectional options[J]. Journal of Industrial Engineering and Engineering Management, 2008, 22(4):79-84.
2016, Vol. 36 
