Stochastic Inventory Model for Minimizing Blood Shortage and Outdating in a Blood Supply Chain under Supply and Demand Uncertainty

被引:16
|
作者
Shih, Han [1 ]
Rajendran, Suchithra [1 ,2 ]
机构
[1] Univ Missouri, Dept Ind & Mfg Syst Engn, Columbia, MO 65211 USA
[2] Univ Missouri, Dept Mkt, Columbia, MO 65211 USA
关键词
PLATELET PRODUCTION; PROGRAMMING-MODEL; MANAGEMENT; OPTIMIZATION; HOSPITALS;
D O I
10.1155/2020/8881751
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Purpose. Blood, like fresh produce, is a perishable element, with platelets having a limited lifetime of five days and red blood cells lasting 42 days. To manage the blood supply chain more effectively under demand and supply uncertainty, it is of considerable importance to developing a practical blood supply chain model. This paper proposed an essential blood supply chain model under demand and supply uncertainty.Methods. This study focused on how to manage the blood supply chain under demand and supply uncertainty effectively. A stochastic mixed-integer linear programming (MILP) model for the blood supply chain is proposed. Furthermore, this study conducted a sensitivity analysis to examine the impacts of the coefficient of demand and supply variation and the cost parameters on the average total cost and the performance measures (units of shortage, outdated units, inventory holding units, and purchased units) for both the blood center and hospitals.Results. Based on the results, the hospitals and the blood center can choose the optimal ordering policy that works best for them. From the results, we observed that when the coefficient of demand and supply variation is increased, the expected supply chain cost increased with more outdating units, shortages units, and holding units due to the impacts of supply and demand fluctuation. Variation in the inventory holding and expiration costs has an insignificant effect on the total cost.Conclusions. The model developed in this paper can assist managers and pathologists at the blood donation centers and hospitals to determine the most efficient inventory policy with a minimum cost based on the uncertainty of blood supply and demand. The model also performs as a decision support system to help health care professionals manage and control blood inventory more effectively under blood supply and demand uncertainty, thus reducing shortage of blood and expired wastage of blood.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] A Supply Chain Inventory Model with Imperfect Quality and Stochastic Demand
    Hamdani, Irfan Hilmi
    Jauhari, Wakhid Ahmad
    Khairina, Alifah
    [J]. PROCEEDING JOINT INTERNATIONAL CONFERENCE ON ELECTRIC VEHICULAR TECHNOLOGY AND INDUSTRIAL, MECHANICAL, ELECTRICAL, AND CHEMICAL ENGINEERING (ICEVT & IMECE), 2015, : 53 - 57
  • [2] A multi-product multi-period stochastic model for a blood supply chain considering blood substitution and demand uncertainty
    Yuan Xu
    Joseph Szmerekovsky
    [J]. Health Care Management Science, 2022, 25 : 441 - 459
  • [3] A multi-product multi-period stochastic model for a blood supply chain considering blood substitution and demand uncertainty
    Xu, Yuan
    Szmerekovsky, Joseph
    [J]. HEALTH CARE MANAGEMENT SCIENCE, 2022, 25 (03) : 441 - 459
  • [4] A study on inventory coordination policy in supply chain under stochastic demand
    Liu, YS
    Ma, Y
    [J]. ICIM' 2004: PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON INDUSTRIAL MANAGEMENT, 2004, : 202 - 209
  • [5] Blood component preparation-inventory problem with stochastic demand and supply
    Li, Qinhong
    Ma, Zujun
    Yang, Fei
    [J]. INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH, 2022, 29 (05) : 2921 - 2943
  • [6] Inventory routing under stochastic supply and demand *
    Alvarez, Aldair
    Cordeau, Jean-Francois
    Jans, Raf
    Munari, Pedro
    Morabito, Reinaldo
    [J]. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2021, 102
  • [7] Inventory management of platelets along blood supply chain to minimize wastage and shortage
    Rajendran, Suchithra
    Ravindran, A. Ravi
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2019, 130 : 714 - 730
  • [8] A two-stage stochastic programming model for inventory management in the blood supply chain
    Dillon, Mary
    Oliveira, Fabricio
    Abbasi, Babak
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2017, 187 : 27 - 41
  • [9] Maximising the blood supply chain in times of shortage
    不详
    [J]. VOX SANGUINIS, 2005, 89 : 203 - 204
  • [10] Inventory Model for Downward Substitution in Two-echelon Supply Chain under Stochastic Demand
    Qin, Yan-hong
    Qin, Xing-hong
    Wu, Qing
    [J]. APPLIED MATHEMATICS & INFORMATION SCIENCES, 2013, 7 (02): : 481 - 486