• DocumentCode
    2612341
  • Title

    Planning for supply chain with seasonal variable delivery time

  • Author

    Wang, Haiying ; Liu, Dacheng ; Ding, Hua

  • Author_Institution
    Tsinghua Univ., Beijing
  • fYear
    2007
  • fDate
    2-4 Dec. 2007
  • Firstpage
    1563
  • Lastpage
    1567
  • Abstract
    The fluctuation of the seasonal variable delivery time significantly impacts the operating costs of production and distribution systems. This paper finds that a non-linear deliver time function which has a non-zero second derivative can simulate the practical situation more than linear function which has a zero second derivative based on practical data. And this paper focuses on a supply chain in which the retailer requires a small-lot at a fixed interval, the manufacturer sets up a distribution center to satisfy the demand, and the manufacture facility is far from the retailer. A search algorithm for finding the optimal production lot and ordering quantity in a system of non-linear deliver times is proposed. The sensitivity analysis shows that cost savings can be achieved by planning production cycles according to the acceleration of deliver time changes and in-transit costs.
  • Keywords
    costing; distribution strategy; lot sizing; order processing; production planning; retailing; search problems; sensitivity analysis; supply chain management; cost savings; distribution systems; manufacture facility; non linear deliver time function; optimal production lot; ordering quantity; production planning; retailing; search algorithm; sensitivity analysis; supply chain; Batch production systems; Costs; Fluctuations; Production planning; Production systems; Pulp manufacturing; Springs; Supply chains; Technology planning; Transportation; Production and distribution system; Production batch size; Production cycles; seasonal variable delivery time;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2007 IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1529-8
  • Electronic_ISBN
    978-1-4244-1529-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2007.4419455
  • Filename
    4419455