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Discrete Event Simulation (DES) and Design of Experiments (DOE) in Manufacturing Systems Development: an Application in Automotive Sector
Technical Paper
2008-36-0018
ISSN: 0148-7191, e-ISSN: 2688-3627
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Language:
English
Abstract
This paper aims to present a productive capacity analysis in a manufacturing assembly line of an automotive industry. To perform this work the main tool used was Computer Simulation, using a software named ProModel, that works on Discrete Event Simulation (DES) and also using Design of Experiments (DOE), with a software named MINITAB. The first task of the project was problem definition followed by the related process mapping. This was the main element to develop the entire model. In validation process it was not used only quantitative methods, but also “hypothesis test” (1 sample-t), which is a quantitative method, using MINITAB. The study object was focused on the first shift and only for the most complex product assembled in the referred line. According to the inputs of the sub processes it was possible to identify those ones with highest potential to impact the output variable (quantity of products assembled). After processing the DOE it was possible to conclude that changes from experienced operators by new employees (operators without any experience) is the main factor to be controlled in this process in relation to productive capacity, and consequently the main cause of not reach the production plan established by manufacturing.
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Authors
- Marcelo Machado Fernandes
- Jose Arnaldo Barra Montevechi
- Ana Emilia Salomon - Delphi Corporation, Delphi Packard Electrical / Electronic Architecture
- Antonio Cesar Rosati - Delphi Corporation, Delphi Packard Electrical / Electronic Architecture
- Helio Maciel - Delphi Corporation, Delphi Packard Electrical / Electronic Architecture
- Leandro Elias - Delphi Corporation, Delphi Packard Electrical / Electronic Architecture
Topic
Citation
Fernandes, M., Montevechi, J., Salomon, A., Rosati, A. et al., "Discrete Event Simulation (DES) and Design of Experiments (DOE) in Manufacturing Systems Development: an Application in Automotive Sector," SAE Technical Paper 2008-36-0018, 2008, https://doi.org/10.4271/2008-36-0018.Also In
References
- O’KANE, J.F. SPENCELEY, J.R. TAYLOR, R. Simulation as an essential tool for advanced manufacturing technology problems Journal of Materials Processing Technology 107 412 424 2000
- BAINES, T. MASON, S.; SIEBERS, O.P; LADBROOK, J; Humans: the missing link in manufacturing simulation? Simulation Modeling Practice and Theory 12 515 526 2004
- SARGENT, R.G. Verification and validation of simulation models Proceedings of the 2004 Winter Simulation Conference 2004
- LEAL, F. Um diagnóstic do processo de atendimento a clientes em uma agênia bancária através de Papiamento de processes e simulação computacional Dissertação (Mestrado em Engenharia de Produção)
- BANKS, J. CARSON, J. S. NELSON, B. L. NICOL, D.M. Discrete-event Simulation, Quarta edição Prentice-Hall Upper Saddle River, NJ 2005
- MONTGOMERY, D.C. Design and Analysis of Experiments 5th edition John Wiley & Sons, Inc 2001
- MONTEVECHI, J.A.B. PINHO, A.F.; LEAL, F.; MARINS, F.A.S.; Application of design of experiments on the simulation of a process in an automotive industry Proceedings of the 2007 Winter Simulation Conference 2007
- KELTON, W.D. Designing simulation experiments Proceedings of the 1999 Winter Simulation Conference 1999
- KLEIJNEN, J.P.C. SANCHEZ, S.M.; LUCAS, T.W.; CIOPPA, T.M. State-of-the-Art Review: A User’s Guide to the Brave New World of Designing Simulation Experiments Journal on Computing 17 3 p. 263 289 2005
- LAW, A.M. How to build valid and credible simulation models Proceedings of the 2006 Winter Simulation Conference 2006