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Computer-Aided Production Management pp 123–134Cite as

Simulation and Simulation Models

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Part of the book series: IFIP State-of-the-Art Reports ((IFIP))

Abstract

Modern manufacturing systems are complex. They tend to involve a mix of technologies and subsystems which are to some extent interrelated if not integrated into a coherent whole. The emphasis on CIM (Computer Integrated Manufacture) is enforcing integration. Clearly, the design and operation of such systems present a challenge to manufacturing systems analysts. Our concern in this paper is with Production Management Systems (PMS) in modern manufacturing systems and with the role that digital computer simulation can play within PMS. Our view is that simulation can play two roles within PMS:

  1. 1.

    Simulation as a design tool for PMS.

  2. 2.

    Simulation as a decision support tool to aid the operation of PMS.

Jim Browne is as Lecturer in Production Engineering and Director of the Computer Integrated Manufacturing Research Unit (CIMRU) at University College Gal way (UCG) in the Republic of Ireland. He was educated in engineering at UCG, and took his Ph.D. from the University of Manchester in the UK. He has worked in the electronics industry in Ireland, UK and Canada, and is a member of IFIP TC 5 and WG 5.7 and of CIM EUROPE. His research interest is in the area of CIM, in particular in systems simulation and Al techniques for production systems within a CIM environment.

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Authors
  1. Jim Browne
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Editors and Affiliations

  1. Production Engineering Laboratory, NTH-SINTEF, Richard Birkelandsv. 2b, N-7034, Trondheim-NTH, Norway

    Asbjørn Rolstadås

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© 1988 IFIP International Federation for Information Processing

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Browne, J. (1988). Simulation and Simulation Models. In: Rolstadås, A. (eds) Computer-Aided Production Management. IFIP State-of-the-Art Reports. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-73318-5_8

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  • DOI: https://doi.org/10.1007/978-3-642-73318-5_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-73320-8

  • Online ISBN: 978-3-642-73318-5

  • eBook Packages: Springer Book Archive

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