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Simulation as support for production planning in small and medium enterprise: a case study
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Source Winter Simulation Conference archive
Proceedings of the 37th conference on Winter simulation table of contents
Orlando, Florida
SESSION: General applications A: general applications of simulation II table of contents
Pages: 2443 - 2448  
Year of Publication: 2005
ISBN:0-7803-9519-0
Authors
Roberto Mosca  University of Genoa, Genoa, GE, Italy
Lucia Cassettari  University of Genoa, Genoa, GE, Italy
Roberto Revetria  CIELI, Genoa, GE, Italy
Gianluca Magro  CIELI, Genoa, GE, Italy
Publisher
Winter Simulation Conference 
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ABSTRACT

The proposed application is related to an Italian small factory that produces, assembles, and sells mechanical components for awnings. In such factories BPR (Business Process Engineering) usually takes place without the support of Modeling & Simulation although such methodologies have proved to be very effective and helpful. Main reasons for that have to be investigated in the high costs usually associated with a simulation study, especially for data collection, model building and model validation. In order to avoid this problem a general-purpose simulation framework was designed enabling self-build according to production process information stored in a relational database. Moreover, the simulation model was used in conjunction with a statistical analysis tool in order to build the relationship among selected parameters and the proposed objective function by mean of Response Surface Methodology and 2nd order regressions meta-models. Authors applied the proposed schema to several industrial applications obtaining interesting results.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Banks J., Carson J., Nelson B., and Nicol, D. 2001. Discrete-event system simulation, third edition, Prentice Hall
 
2
Bruzzone A. G., Giribone P, Revetria R. 1999. Design and management issues in the development of new workshops using web-based simulation and neural networks Proceedings of FAIM99, Tilburg (NL) June 23--25
 
3
Bruzzone A. G., Mosca R., Orsoni A., Revetria R. 2001. Forecasts modelling in industrial applications based on AI techniques, International Journal of Computing Anticipatory Systems (extended from Proeedings of CASYS2001, Liege Belgium August 13--18), Vol 11, pp. 245--258, ISSN1373--5411
 
4
Mosca R., Revetria R., Tonelli F. 2000. Simulation for resource allocation Proceedings of the Business and Industry Simulation Symposium ISBN 1-56555-199-0 Washington D.C., April
 
5
Steppan D., Werner J. and Yeater R. 1998. Essential regression and experimental design for chemists and engineers Available via <http://www.jowerner.homepage.tonline.de/ERPref.html> {accessed May 2, 2005}.
Collaborative Colleagues:
Roberto Mosca: colleagues
Lucia Cassettari: colleagues
Roberto Revetria: colleagues
Gianluca Magro: colleagues