DocumentCode :
1803103
Title :
Managing the Forecast Factory
Author :
Bright, Laura ; Maier, David ; Howe, Bill
Author_Institution :
Portland State University
fYear :
2006
fDate :
2006
Firstpage :
64
Lastpage :
64
Abstract :
The CORIE forecast factory consists of a set of data product generation runs that are executed daily on dedicated local resources. The goal is to maximize productivity and resource utilization while still ensuring timely completion of all forecasts. Many existing workflow management systems address low-level workflow specification and execution challenges, but do not directly address the high-level challenges posed by large-scale data product factories. In this paper we discuss several specific challenges to managing the CORIE forecast factory including planning and scheduling, improving data flow, and analyzing log data, and point out their analogs in the "physical" manufacturing world. We present solutions we have implemented to address these challenges, and present experimental results that show the benefits of these solutions.
Keywords :
Aggregates; Job shop scheduling; Large-scale systems; Manufacturing; Materials requirements planning; Predictive models; Production facilities; Production planning; Resource management; Workflow management software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering Workshops, 2006. Proceedings. 22nd International Conference on
Conference_Location :
Atlanta, GA, USA
Print_ISBN :
0-7695-2571-7
Type :
conf
DOI :
10.1109/ICDEW.2006.76
Filename :
1623859
Link To Document :
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