• DocumentCode
    1669030
  • Title

    Mixed backlogging and stockout models with inventory capacity

  • Author

    Jinhong Zhong ; Chu, Feng ; Chu, Chengbin ; Yang, Shanlin

  • Author_Institution
    Inst. Charles Delaunay-OSL, Univ. de Technol. de Troyes
  • Volume
    1
  • fYear
    2006
  • Firstpage
    290
  • Lastpage
    295
  • Abstract
    This paper addresses a dynamic lot sizing problem with mixed backlogging and stockout and bounded inventory. The stockout option means that there is outsourcing in a period only when inventory level at that period is less than or equal to 0. The production cost may include setup cost and the production level is unlimited. The holding, backlogging and outsourcing cost functions are linear. Furthermore, backlogging level at each period is limited, and outsourcing level at each period cannot exceed the demand of that period. The goal is to minimize the total cost of production, inventory holding/backlogging and outsourcing. We developed a dynamic programming algorithm with complexity 0(T3logT) to solve this model, where T is the length of the planning horizon. Computational results indicate that the proposed algorithm is high performance with the number of periods in the planning horizon
  • Keywords
    costing; dynamic programming; lot sizing; outsourcing; production planning; stock control; backlogging model; cost function; dynamic lot sizing problem; dynamic programming algorithm; inventory capacity; outsourcing; planning horizon; production cost; setup cost; stockout model; Capacity planning; Cost function; Dynamic programming; Heuristic algorithms; Inventory management; Lot sizing; Outsourcing; Polynomials; Production; Subcontracting; backlogging; dynamic programming; inventory capacity; lot sizing; outsourcing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management, 2006 International Conference on
  • Conference_Location
    Troyes
  • Print_ISBN
    1-4244-0450-9
  • Electronic_ISBN
    1-4244-0451-7
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2006.320628
  • Filename
    4114448