• DocumentCode
    2782901
  • Title

    A framework model of production planning optimization for make-to-order discrete manufacturing

  • Author

    Wang, Qing ; Shu-an Liu ; Bin Gao ; Dingwei Wang

  • Author_Institution
    Fac. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    2516
  • Lastpage
    2520
  • Abstract
    To keep competitive edge in the global market manufacturing enterprises have to enhance their information systems such as ERP with production planning optimization. In this paper in terms of make-to-order discrete manufacturing a segregate framework model is proposed to support the production planning optimization and to integrate with ERP system. This model aims to sufficiently utilize the production capacities of working centers by dispatching planning objects at a low level. On the basis of the model the major issues in the system implementation are addressed: timing definition and scheduling algorithm. The practical application shows that the proposed model and its implementation system can improve generate effective and productive planning results for the production.
  • Keywords
    enterprise resource planning; information systems; manufacturing industries; optimisation; production planning; scheduling; ERP; enterprise resource planning; global market manufacturing enterprise; information system enhancement; make-to-order discrete manufacturing; production planning optimization; scheduling algorithm; timing definition; Capacity planning; Dispatching; Enterprise resource planning; Globalization; Information systems; Production planning; Pulp manufacturing; Scheduling algorithm; Timing; Virtual manufacturing; Discrete Manufacturing; Make-To-Order; Production Planning Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5191920
  • Filename
    5191920