• DocumentCode
    120169
  • Title

    Research on Joint Strategy of Inventory for Production Disruption

  • Author

    Liu Jia-Guo ; Jiang Xing-He ; Shi Gao-Wei ; Zhao Jin-Lou

  • Author_Institution
    Econ. & Manage. Coll., Harbin Eng. Univ., Harbin, China
  • fYear
    2014
  • fDate
    4-6 July 2014
  • Firstpage
    329
  • Lastpage
    333
  • Abstract
    Under the consideration of stochastic demand and affected probability of a single enterprise within the alliance after the production disruptions, this paper based on the idea of joint inventory management, puts forward an improved inventory model, the joint emergency strategy inventory model, which is in order to decrease the inventory cost after the production disruptions. This paper builds an inventory costs function to deal with the risk of production disruptions of an independent enterprise and an inventory cost function of individual enterprise within the alliance. And from the analysis of the two cost functions, this paper concludes that the joint emergency strategy inventory model has bigger advantages in inventory costs. Finally, through specific examples, this paper analyzes the both expected costs of the independent enterprise and the individual enterprise within the alliance under the probability of different supply chain emergencies, and further validates the advantages of the joint emergency strategy inventory model.
  • Keywords
    cost accounting; inventory management; probability; stochastic processes; supply chain management; affected probability; inventory cost function; joint inventory management; joint strategy; production disruption; single enterprise; stochastic demand; supply chain emergencies; Analytical models; Cost function; Educational institutions; Joints; Stochastic processes; Supply chains; Production disruptions; inventory strategy; joint emergency strategy; strategic alliance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2014 Seventh International Joint Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-5371-4
  • Type

    conf

  • DOI
    10.1109/CSO.2014.69
  • Filename
    6923696