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Analytical and Simulation Techniques Used to Gain Insight into Multi Product Machine Shop Control

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Modern Production Concepts
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Abstract

Traditional classical control theory has been well established in the design techniques developed in hardware applications such as machine tool drivers, aircraft autoland systems [1] etc. Equivalent modern control theory which yields similar results has been applied to manufacturing systems [2]. In both cases, we can therefore apply the principles learnt in “hard” systems to “soft” and organisational systems [3].

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References

  1. D.R. Towill, 1977, Low Order Modelling Of Systems And Processes, Jnl Automatic Control of the Benelux National Member Organisations Of IFAC Journal A, 18 pp 200–207.

    Google Scholar 

  2. J.L. Christensen, W.L. Brogran, 1971, Modelling And Optimal Control Of A Production Process, Int. J. Syst. Sci. 1 (3), pp 247–255.

    Article  Google Scholar 

  3. J. Parnabv, 1979, Concept Of A Manufacturing System, Int. J. Prod. Res, 17 (2), pp 123–134.

    Article  Google Scholar 

  4. A. Tustin, 1953, The Mechanism Of Economic Systems, Harvard University Press, Cambridge, Mass.

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  5. D.R. Towill, 1982, Dynamic Analysis Of An Inventory And Order Based Production Control System, IJPR, Vol 20, No 6, pp 671–687.

    Article  Google Scholar 

  6. D.R. Towill, 1990, The Practical Use Of Control Theory In Manufacturing Systems Modelling And Design, SERC ACME Workshop On “CAPM Reference Models Derived From Control Theory”, Castle Donnington.

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  7. A. L. del Vecchio, D.R. Towill, 1989, Conceptual Modelling Of Industrial Production/Distribution Systems via Standard Form, Seventh International Conference On Mathematical And Computer Modelling, 2–5 August 1989, Chicago, USA.

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  8. D.R. Towill, 1988, The Dynamic Analysis Approach To Manufacturing Systems Design, The University of Wales Review, No 3.

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  9. J. S. Edghill, C. Olsmats, D.R. Towill, 1988, Industrial Case Study Of The Dynamics And Sensitivity Of A Close Coupled Production Distribution System, IJPR, Vol. 26, No 10, pp 1681–1693.

    Article  Google Scholar 

  10. D.R. Towill, 1977, Exponential Smoothing Of Learning Curve Data, IJPR, Vol 15, No 1, pp 1–15.

    Article  Google Scholar 

  11. P.S. Cheema, 1987, The Performance And Evaluation Of SMT Machines At AB Electronic Pic, University Of Wales Institute Of Science And Technology, MSc dissertation, Appendix A.

    Google Scholar 

  12. J.L. Coleman, 1988, Lead Time Reduction By System Simplification, University Of Wales College Cardiff Msc dissertation, pp 55–63.

    Google Scholar 

  13. P.S. Cheema, (In Preparation) PhD Thesis, University of Wales College Cardiff.

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© 1991 Springer-Verlag Berlin · Heidelberg

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Cheema, P., Towill, D. (1991). Analytical and Simulation Techniques Used to Gain Insight into Multi Product Machine Shop Control. In: Fandel, G., Zäpfel, G. (eds) Modern Production Concepts. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76401-1_30

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  • DOI: https://doi.org/10.1007/978-3-642-76401-1_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-76403-5

  • Online ISBN: 978-3-642-76401-1

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