NDLI: A distributed decision support system for lumber jag selection in a rough mill

Content Provider	IEEE Xplore Digital Library
Author	Wang, Y. Gruver, W.A. Kotak, D. Fleetwood, M.
Copyright Year	2003
Description	Author affiliation: Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada (Wang, Y.; Gruver, W.A.)
Abstract	A rough mill production system is an unpredictable dynamic system for which the effects on production of many factors are strongly interrelated. A distributed decision support system for dynamic jag (a load of lumber) selection in defect sensitive production is proposed. Case-Based Reasoning and heuristic rules determine recommended jags for cut-lists in the decision process. Using a statistical method, cases are grouped by categorizing problems and solutions. Heuristic rules measure the similarity between current and past cases. The framework for a decision support system has two layers in which jag types are selected at the top level and specific jags are chosen on the bottom level. Decisions from different sources influence both top level and bottom level. The dynamic character of the system is taken into account by collaboration between distributed decision points that can change indices by retrieving previous cases and storing new cases. The recommended jags are tested by simulation and used for feedback to the decision support system. Finally, the system is validated by comparison with actual production.
Sponsorship	Syst., Man & Cybernetics Soc. IEEE
Starting Page	616
Ending Page	621
File Size	476735
Page Count	6
File Format	PDF
ISBN	0780379527
ISSN	1062922X
DOI	10.1109/ICSMC.2003.1243883
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems Milling machines Production systems Costs Optimization methods Intelligent robots Fuzzy logic Manufacturing systems Systems engineering and theory Statistical analysis
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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