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
Link To Document :
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