• DocumentCode
    3090440
  • Title

    Optimal ordering policies for multi-pharmaceutical with constraints on space

  • Author

    Ying Zhou ; Li Luo ; Xiaodong Wu

  • Author_Institution
    Dept. of Bus. Sch., Sichuan Univ., Chengdu, China
  • fYear
    2013
  • fDate
    17-19 July 2013
  • Firstpage
    659
  • Lastpage
    663
  • Abstract
    Medical supply chain is an extremely complicated process. On basis of the perishable inventory theory, the paper mainly focuses on the optimal ordering policy of multi-pharmaceutical for the large public hospitals. The paper develops a mathematical model with constraints on space where the shortage are allowed and has a lead-time, in order to maximum the total profit of the inventory system. Then, an algorithm was given based on the exterior point penalty function method. Finally, the model is illustrated with numerical examples. Based on our analysis, we prove that the problem is a convex programming and give optimal ordering policies in order to reduce the inventory cost of the hospital. It can play a good role for the effective medicine management in the hospital.
  • Keywords
    convex programming; cost reduction; pharmaceuticals; stock control; supply chain management; convex programming; exterior point penalty function method; inventory cost reduction; inventory system; medical supply chain; medicine management; multipharmaceutical; optimal ordering policy; perishable inventory theory; space constraint; Educational institutions; Hospitals; Lead; Mathematical model; Pharmaceuticals; Programming; Supply chains; exterior point penalty function method; inventory control; multi-pharmaceutical; ordering policy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management (ICSSSM), 2013 10th International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4673-4434-0
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2013.6602531
  • Filename
    6602531