• DocumentCode
    2164658
  • Title

    Solving multi-item multi-period capacitated lot sizing problem with considerations of backorders and setups

  • Author

    Verma, Mayank ; Sharma, R.R.K.

  • Author_Institution
    Dept. of Ind. & Manage. Eng., Indian Inst. of Technol. Kanpur, Kanpur, India
  • Volume
    4
  • fYear
    2010
  • fDate
    26-28 Feb. 2010
  • Firstpage
    18
  • Lastpage
    22
  • Abstract
    In this work we introduce an innovative procedure to solve the capacitated lot sizing problem with backorders and setup times, called CLSP_BS. The procedure formulates CLSP_BS as a mixed integer programming (MIP) problem, reduces it to the structure of a bounded variable linear program; and then calculates some ratios of the coefficients to determine an approximate solution to the problem. This initial solution is further improved using an intelligent enumeration procedure. Adopting this procedure, we solve the NP hard MIP differently and easily, by mere calculation of a few ratios and without actually using any traditional solution approaches, viz. simplex, interior point method, etc.
  • Keywords
    approximation theory; integer programming; linear programming; lot sizing; CLSP_BS; NP hard MIP; backorders; bounded variable linear program; intelligent enumeration procedure; interior point method; mixed integer programming problem; multi item multiperiod capacitated lot sizing problem; setup times; Costs; Engineering management; Innovation management; Linear programming; Lot sizing; Manufacturing; Mathematical model; Supply chains; Technology management; Lot sizing; backorders; capacitated; knapsack;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5585-0
  • Electronic_ISBN
    978-1-4244-5586-7
  • Type

    conf

  • DOI
    10.1109/ICCAE.2010.5451797
  • Filename
    5451797