DocumentCode :
397618
Title :
A distributed decision support system for lumber jag selection in a rough mill
Author :
Wang, Yunli ; Gruver, WilliamA ; Kotak, Dilip ; Fleetwood, Martin
Author_Institution :
Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada
Volume :
1
fYear :
2003
fDate :
5-8 Oct. 2003
Firstpage :
616
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.
Keywords :
case-based reasoning; decision support systems; distributed decision making; case based reasoning; distributed decision support system; dynamic jag selection; heuristic rules; lumber jag selection; rough mill production system; unpredictable dynamic system; Costs; Decision support systems; Fuzzy logic; Intelligent robots; Manufacturing systems; Milling machines; Optimization methods; Production systems; Statistical analysis; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2003. IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-7952-7
Type :
conf
DOI :
10.1109/ICSMC.2003.1243883
Filename :
1243883
Link To Document :
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