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Introduction to SIMAN

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Published:01 December 1988Publication History

ABSTRACT

This paper discusses the concepts and methods for simulating manufacturing systems using the SIMAN simulation language. SIMAN is a general purpose simulation language which incorporates special purpose features greatly simplify and enhance the modeling of the material handling component of a manufacturing system.

References

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  7. Schriber, T. (1974). Simulation Using GPSS. John Wiley, New York. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Suri, R. and M. Tomsicek (1988). Rapid Modeling Tools for Manufacturing Simulation and Analysis. Proceedings of the t988 Winter Simulation Conference (M. Abrams, P. Haigh, and J. Comfort, eds.) Institute of Electrical and Electronics Engineers, San Diego, California. Google ScholarGoogle ScholarDigital LibraryDigital Library
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  10. Zeigler, B.P. (1976). Theory of Modeling and Simulation. John Wiley. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Introduction to SIMAN

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        • Published in

          cover image ACM Conferences
          WSC '88: Proceedings of the 20th conference on Winter simulation
          December 1988
          896 pages
          ISBN:0911801421
          DOI:10.1145/318123

          Copyright © 1988 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 1 December 1988

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          Overall Acceptance Rate3,413of5,075submissions,67%

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