DocumentCode :
3273611
Title :
Factory flow design and analysis using internet-enabled simulation-based optimization and automatic model generation
Author :
Ng, Amos H C ; Bernedixen, Jacob ; Moris, Matias Urenda ; Jägstam, Mats
Author_Institution :
Virtual Syst. Res. Centre, Univ. of Skovde, Skövde, Sweden
fYear :
2011
fDate :
11-14 Dec. 2011
Firstpage :
2176
Lastpage :
2188
Abstract :
Despite simulation offers tremendous promise for designing and analyzing complex production systems, manufacturing industry has been less successful in using it as a decision support tool, especially in the early conceptual phase of factory flow design. If simulation is used today for system design, it is more of-ten used in later phases when important design decisions have already been made and costs are locked. With an aim to advocate the use of simulation in early phases of factory design and analysis, this paper introduces FACTS Analyzer, a toolset developed based on the concept of integrating model abstraction, automatic model generation and simulation-based optimization under an innovative Internet-based plat-form. Specifically, it addresses a novel model aggregation and generation method, which when combined together with other system components, like optimization engines, can synthetically enable simulation to become much easier to use and speed up the time-consuming model building, experimentation and optimization processes, in order to support optimal decision making.
Keywords :
Internet; decision making; decision support systems; design engineering; discrete event simulation; manufacturing industries; manufacturing systems; optimisation; production engineering computing; production facilities; FACTS Analyzer; Internet enabled simulation based optimization; automatic model generation; complex production system; decision support tool; factory flow analysis; factory flow design; manufacturing industry; model abstraction; model aggregation; optimal decision making; optimization engines; time consuming model building; Analytical models; Computational modeling; Data models; Internet; Object oriented modeling; Optimization; Servers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2011 Winter
Conference_Location :
Phoenix, AZ
ISSN :
0891-7736
Print_ISBN :
978-1-4577-2108-3
Electronic_ISBN :
0891-7736
Type :
conf
DOI :
10.1109/WSC.2011.6147930
Filename :
6147930
Link To Document :
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