• DocumentCode
    515277
  • Title

    A forecast netting and consumption model for advanced planning and scheduling

  • Author

    Li, Sijie ; Ma, Lijun

  • Author_Institution
    Inst. of Syst. Eng., Southeast Univ., Nanjing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    9-10 Jan. 2010
  • Firstpage
    267
  • Lastpage
    272
  • Abstract
    This paper features an advanced planning system (APS) in which the forecasts and customer demands are balanced to arrive at the netted forecast for the production system to produce purchase orders and production orders. The forecast process to collaborate the demand and the forecast is rarely considered in the planning and scheduling models. In this paper, a new decision support process for netting forecast is presented, which includes two processes to prepare the netted forecast for the weekly and daily production planning, respectively. The weekly forecast netting process does the netting for the weekly demand, and the daily forecast consumption process handles the daily demand. The proposed approaches are being applied in a practical application of APS system, which is implemented in Alcatel Shanghai Bell.
  • Keywords
    forecasting theory; order processing; production planning; scheduling; Alcatel Shanghai Bell; advanced planning system; advanced scheduling; consumption model; customer demands; daily forecast consumption process; daily production planning; decision support process; production orders production; production system; purchase orders production; weekly forecast netting process; weekly production planning; Decision making; Demand forecasting; Economic forecasting; Enterprise resource planning; Job shop scheduling; Predictive models; Process planning; Production planning; Production systems; Supply chains; Advanced Planning and Scheduling; Forecast Consumption; Forecast Netting; Supply Chain Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Logistics Systems and Intelligent Management, 2010 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-7331-1
  • Type

    conf

  • DOI
    10.1109/ICLSIM.2010.5461422
  • Filename
    5461422