Parametric Simulation Modeling Approach for Mobilization Production Plan

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Abstract:

Mobilization production is an effective model to respond to emergency situation, which can organize all kinds of production resources and enlarge production capacity in short time. The design of mobilization production plan needs numerous data and to be revised repeatedly. Therefore, it is very difficult for the traditional design approach to work out right results and forecast the performance of mobilization production plan. A parametric simulation modeling approach is presented in this paper to solve those problems. The approach separates the control logic from modeling elements through creating simulation database, typical model base and control logic base. A model generator is built to automatically create the finial simulation model based on those kinds of bases. The simulation software of AutoMod is applied to realize the modeling process above. Finally, a case study is presented to illustrate the application of the proposed approach.

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358-362

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February 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Y.B. Kang, S.M. Chen, Production preparation for national economy mobilization-theory and practice, Weapon Industry Press(2001).

Google Scholar

[2] D.J. Van der Zee, Modeling decision making and control in manufacturing simulation, Int. J. Production Economics, Vol. 100, No. 1, (2006)p.155–167.

DOI: 10.1016/j.ijpe.2004.11.001

Google Scholar

[3] M. Kampf, P. Kochel, Simulation-based sequencing and lot size optimisation for a production-and-inventory system with multiple items, Vol. 104, No. 1, (2006)pp.191-200.

DOI: 10.1016/j.ijpe.2006.02.008

Google Scholar

[4] K.Y. Jeong and D. Allan, Integrated system design, analysis and database-driven simulation model generation, in Proc. the 37th Annual Simulation Symposium, (2004)p.80–85.

DOI: 10.1109/simsym.2004.1299468

Google Scholar

[5] G.A. Harrison, D.S. Maynard, E. Pollak, Automated database and schema-based data interchange for modeling and simulation,. Proc Winter Simulation Conference, (2004)pp.191-197.

DOI: 10.1109/wsc.2004.1371316

Google Scholar

[6] L. Monch, Simulation-based benchmarking of production control schemes for complex manufacturing systems, Vol. 15, No. 11, (2007)pp.1381-1393.

DOI: 10.1016/j.conengprac.2006.05.010

Google Scholar

[7] M.W. Rohrer, AutoMod Tutorial, Proceedings of Winter Simulation Conference, (1997)pp.657-662.

Google Scholar