Simulation as educational support for production and logistics in industrial engineering

ABSTRACT

The proposed implementation is a monitor system able to train operators for on-line real time manufacturing control in order to analyze the performance of a production process. This system integrates a simulation model and a statistical analysis module. The architecture has been designed to be able to operate in a real time distributed environment, by using TCP/IP sockets; obviously this approach makes it possible to access the data by different users with a hierarchical architecture. This innovative approach pays great attention to make a use friendly network support training for both operatives and managers thanks to the portability and scalability of the system. The methodology has been tested on a real case study and the experimental results demonstrate the potential of such an approach.

REFERENCES

• 1: AutoMod Simulation, Inc. 1999. AutoMod Student Manual , Bountiful, UT: Autosimulations.
• 2: Banks J., Carson J., Nelson B. 1996. Discrete-Event System Simulation, Second Edition, Englewood Cliffs, NJ: Prentice Hall.
• 3: Agostino G. Bruzzone , Pietro Giribone, Decision-Support Systems and Simulation for Logistics: Moving Forward for a Distributed, Real-Time, Interactive Simulation Environment, Proceedings of the The 31st Annual Simulation Symposium, p.17, April 05-09, 1998
• 4: Bruzzone A. G., Giribone P., Revetria R. 1999, Design and management issues in the development of the new workshops using web-based simulation and neural networks. Proceedings of FAIM'99, pp. 265-276 Tilburg (NL), June 23-25
• 5: Chase R., Aquilano N. 1995. Production and Operation Management: Manufacturing and Services. Seventh Edition, Irwin.
• 6: Giribone P. 1994. Object-oriented modeling as instrument for analyzing a film processing plant. Proceedings of Modelling and Simulation ESM'94, pp. 895-900, Barcelona (E), 1-3 June.
• 7: Giribone P., Bruzzone A. G. 1997. Object-oriented simulation of discrete flows for industrial plants: an application example of an automated mineral oil filling line. Proceedings of European Simulation Multiconference, ESM'97, Istanbul, Turkey, June 1-4.
• 8: Giribone P., Bruzzone A. G. 1998. Robust and central composite design as collaborative techniques for production planning using simulation. Proceedings of EUROSIM'98, Helsinki.
• 9: Laudon, K. C. 1997. Management Information System Organization and Technology in the Networked Enterprise, Sixth Edition, New York: New York University.
• 10: Mark Lorenz, Object-oriented software development: a practical guide, Prentice-Hall, Inc., Upper Saddle River, NJ, 1993
• 11: John McConnell, Managing client-server environments: tools and strategies for building solutions, Prentice-Hall, Inc., Upper Saddle River, NJ, 1995
• 12: Mosca R., Giribone P., Bruzzone A. 1995. Sensitivity analysis in interactive stochastic simulators, Proceedings of the XIV IASTED International Symposium "Modelling, Identification and Control", MIC'95, pp. 117-121, Igls --- Innsbruck.
• 13: Mosca R., Schenone M., Frigato A., Tonelli F. 1999. Object-oriented simulation tool for capacity planning and planning production at an assembly company. Proceedings of ESM'99, Warsaw, Poland.
• 14: David Simchi-Levi, Designing And Managing The Supply Chain, Mcgraw-Hill College, 2005