Advertisement

Three Short Time-Space Network Models for Medicine Management

  • Ming LiuEmail author
  • Jie Cao
  • Jing Liang
  • MingJun Chen
Chapter
  • 417 Downloads

Abstract

Generally, medicine order and delivery are operated based on the previous experiences. First of all, estimating the average annual demands of hospital storage center. Second, planning a medical goods order and delivery schedule based on the annual average demands as well as establishing the period of ordering and delivering. Third, in the process of operating, medical system supplies goods according to the re-order point and safe stock. In this chapter, we propose three time-space network models for medicine order and shipment, which may help improve the effectiveness when managing the medicine in hospitals.

References

  1. 1.
    Wei BF. JIT and stockless in hospital material management research. Taiwan: Institute of Industrial Management, National Central University; 1997.Google Scholar
  2. 2.
    Breen L, Crawford H. Improving the pharmaceutical supply chain: assessing the reality of e-quality through e-commerce application in hospital pharmacy. Int J Qual Reliab Manag. 2005;22(6):572–90.Google Scholar
  3. 3.
    Danas K, Ketikidis P, Roudsari A. A virtual hospital pharmacy inventory: an approach to support unexpected demand. J Med Mark. 2002;2(2):125–9.CrossRefGoogle Scholar
  4. 4.
    Zhu JM, Huang J, Liu DG, et al. Randomized algorithm for vehicle routing model for medical supplies in large-scale emergencies. Oper Res Manag Sci. 2010;19(1):9–14.Google Scholar
  5. 5.
    Liao JW. A schedule of medical resource supply orders and transit plan. Taiwan: Institute of Civil Engineering, National Central University; 2007.Google Scholar
  6. 6.
    Cao ZX. Dynamic medical goods order and transit scheduling model for schedule perturbation in short-term operations. Taiwan: Institute of Civil Engineering, National Central University; 2007.Google Scholar
  7. 7.
    Yan S, Shih YL. A time-space network model for work team scheduling after a major disaster. J Chin Inst Eng. 2007;30(1):63–75.CrossRefGoogle Scholar
  8. 8.
    Yan S, Shih YL. Optimal scheduling of emergency roadway repair and subsequent relief distribution. Comput Oper Res. 2009;36(6):2049–65.CrossRefGoogle Scholar
  9. 9.
    Steinzen I, Gintner V, Suhl L, et al. A time-space network approach for the integrated vehicle- and crew-scheduling problem with multiple depots. Transp Sci. 2010;44(3):367–82.CrossRefGoogle Scholar
  10. 10.
    Yan S, Lin CK, Chen SY. Optimal scheduling of logistical support for an emergency roadway repair work schedule. Eng Optim. 2012;44(9):1035–55.CrossRefGoogle Scholar
  11. 11.
    Yan S, Lin CK, Chen SY. Logistical support scheduling under stochastic travel times given an emergency repair work schedule. Comput Oper Res. 2013;67:20–35.Google Scholar
  12. 12.
    Shi H. Research on supply chain management in hospitals based on VMI. In: The 17th international conference on industrial engineering and engineering management; 2010; Xiamen, China. p. 1395–9.Google Scholar
  13. 13.
    Rachaniotis NP, Dasaklis TK, Pappis CP. A deterministic resource scheduling model in epidemic control: a case study. Eur J Oper Res. 2012;216(1):225–31.CrossRefGoogle Scholar
  14. 14.
    Zhou D, Leung LC, Pierskalla W. Inventory management of platelets in hospitals: optimal inventory policy for perishable products with regular and optional expedited replenishments. Manuf Serv Oper Manag. 2011;13(4):420–38.CrossRefGoogle Scholar
  15. 15.
    Nagurney A. Medical nuclear supply chain design: a tractable network model and computational approach. Int J Prod Econ. 2011;140(2):865–74.CrossRefGoogle Scholar
  16. 16.
    Chen DQ, Preston DS, Xia W. Enhancing hospital supply chain performance: a relational view and empirical test. J Oper Manag. 2013;31(6):391–408.CrossRefGoogle Scholar
  17. 17.
    Uthayakumar R, Priyan S. Pharmaceutical supply chain and inventory management strategies: optimization for a pharmaceutical company and a hospital. Oper Res Health Care. 2013;2(3):52–64.CrossRefGoogle Scholar
  18. 18.
    Zhang TZ, Li LY. The dynamic pricing model with time-space network based on uncertain demands. In: 2008 control and decision conference; 2008; Yantai, China. p. 1956–9.Google Scholar
  19. 19.
    Yan S, Chen CY, Tang CH. Airport gate reassignment following temporary airport closures. Transportmetrica. 2009;5(1):25–41.CrossRefGoogle Scholar
  20. 20.
    Buhrkal K, Zuglian S, Ropke S, et al. Models for the discrete berth allocation problem: a computational comparison. Transp Res Part E Logist Transp Rev. 2011;47(4):461–73.CrossRefGoogle Scholar
  21. 21.
    Lin JR, Yan S, Lai CW. International express courier routing and scheduling under uncertain demands. Eng Optim. 2013;45(7):881–97.CrossRefGoogle Scholar
  22. 22.
    Lapierre SD, Ruiz AB. Scheduling logistic activities to improve hospital supply systems. Comput Oper Res. 2007;34(3):624–41.CrossRefGoogle Scholar
  23. 23.
    Chang YT, Chang TH, Chien HY, et al. PHP62 establish drugs optimal purchase model. Value Health. 2011;14(7):A344.CrossRefGoogle Scholar
  24. 24.
    Liao HC, Chang HH. The optimal approach for parameter settings based on adjustable contracting capacity for the hospital supply chain logistics system. Expert Syst Appl. 2011;38(5):4790–7.CrossRefGoogle Scholar
  25. 25.
    Uthayakumar R, Priyan S. Two-echelon multi-product multi-constraint product returns inventory model with permissible delay in payments and variable lead time. J Manuf Syst. 2015;36:244–62.CrossRefGoogle Scholar
  26. 26.
    Priyan S, Uthayakumar R. Optimal inventory management strategies for pharmaceutical company and hospital supply chain in a fuzzy–stochastic environment. Oper Res Health Care. 2014;3(4):177–90.CrossRefGoogle Scholar
  27. 27.
    Zhang HX, Liu M. A time-space network based approach for the medical resource order and distribution scheduling problem. ICIC Express Lett Part B. 2015;6(7):1975–82.Google Scholar

Copyright information

© Science Press and Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.School of Economics and ManagementNanjing University of Science and TechnologyNanjingChina
  2. 2.Xuzhou University of TechnologyXuzhouChina
  3. 3.Nanjing Polytechnic InstituteNanjingChina
  4. 4.Affiliated Hospital of Jiangsu UniversityZhenjiangChina

Personalised recommendations