Paper Info
Title
Managing the Forecast Factory
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.
Year
DOI
Venue
2006
10.1109/ICDEW.2006.76
Atlanta, GA, USA
Keywords
Field
DocType
existing workflow management system,data product generation run,forecast factory,low-level workflow specification,dedicated local resource,present experimental result,log data,corie forecast factory,data flow,present solution,large-scale data product factory,manufacturing,workflow management system,materials requirements planning,resource utilization,resource management,job shop scheduling,predictive models
Resource management,Material requirements planning,Job shop scheduling,Factory,Computer science,Scheduling (computing),Production planning,Workflow management system,Database,Data flow diagram
Conference
ISBN
Citations 
PageRank 
0-7695-2571-7
3
0.59
References 
Authors
12
3
Name
Order
Citations
PageRank
Laura Bright117617.34
David Maier256391666.90
Bill Howe3152094.44