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Modelling Techniques in Integrated Operations and Information Systems in Manufacturing Systems

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Intelligent Knowledge-Based Systems

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Abstract

State-of-the-art production facilities require a wide variety of intelligent devices and automated processing equipment to be integrated and linked together through a manufacturing network in order to achieve the desired, cost effective, co-ordinated functionality. Devices within a manufacturing system may include: programmable logic controllers (PLCs), direct numerically controlled (DNC) machines, sensors, robots, vision systems, co-ordinate measurement machines (CMMs), personal computers (PCs), and mainframe computers, supplied by different vendors, using different operating systems, with different communication needs and interfaces. The successful integration of existing equipment using existing communication protocols and networks is crucial to achieve the functionality required for computer integrated manufacturing (i.e., CIM) systems. As a result, the performance of communication networks has become a key factor for successful implementation of integrated manufacturing systems, particularly, for time-critical applications. Hence, the analysis, design and performance evaluation of manufacturing systems can no longer ignore the performance of the communication environment.

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References

  1. Groover M. P, 2000. Automation,production systems, and computer integrated manufacturing (Prentice-Hall, Inc.).

    Google Scholar 

  2. Wong W. M. R., 1993. Modelling andsimulation of the communication protocols usedin typical CIM equipment. Bradford University.

    Google Scholar 

  3. Mansharamani R., 1997. An overview of discrete event simulation methodologies and implementation. Sadhana, Vol. 22, Part 5, 611-627.

    Google Scholar 

  4. McCarthy I., Frizelle G., Efstathiou J., 1998. Manufacturing complexity network meeting, University if Oxford. EPSRC engineering and physical science research council.

    Google Scholar 

  5. Chou Y. C., 1999. Configuration design of complex integrated manufacturing systems. International Journal of Advanced Manufacturing Technology, 15:907-913.

    Google Scholar 

  6. AL-Ahmari A. M. A., Ridway K., 1999. An integrated modelling method to support manufacturing system analysis and design. Computers in Industry, 38 (1999), 225-238.

    Google Scholar 

  7. O’Kane J. F., Spencekley J. R., Taylor R., 2000. Simulation as an essential tool for advanced manufacturing technology problems. Journal of Materials Processing Technology, 107 (2000), 412-424.

    Google Scholar 

  8. Kim C. H., Weston R., 2001. Development of an integrated methodology for enterprise engineering. International Journal of Computer Integrated Manufacturing, 14 (5), 473-488.

    Google Scholar 

  9. Balduzzi F., Giua A., Seatzu C., 2001. Modelling and simulation of manufacturing systems with first-order hybrid Petri nets. International Journal of Production Research, 39 (2),255-282.

    Google Scholar 

  10. Cunha P F., Dionisio j., 2002. An architecture to support the manufacturing system design and planning. Proceedings of the 1st CIRP(UK) Seminar on Digital Enterprise Technology, Durham, UK, 129134.

    Google Scholar 

  11. Bernard A., Perry N., 2002. Fundamental concepts of product/technology/process informational integration for process modelling andprocess planning. Proceedings of the 1st CIRP(UK) Seminar on Digital Enterprise Technology, Durham, UK, 237-240.

    Google Scholar 

  12. Cantamessa M., Fichera S., 2002. Process and production planning in manufacturing enterprise networks. Proceedings of the 1st CIRP(UK) Seminar on Digital Enterprise Technology, Durham, UK, 187190.

    Google Scholar 

  13. Higginbottom G. N., 1998. Performance evaluation of communication networks (Norwood: Artech House, Inc.).

    Google Scholar 

  14. Mitchell F. H., 1991. CIM systems (Prientice-hall Ltd.).

    Google Scholar 

  15. Colquhoun G., Baines R., Crossley R., 1993. A state of the art review of IDEFO. International Journal of Computer Integrated Manufacturing, 6 (1993), 252-264.

    Google Scholar 

  16. Doumeingts G., Vallespir B., 1995. Methodologies for desining CIM system: a survey. Computers in Industry, 25 (1995), 263-280.

    Google Scholar 

  17. AL-Ahmari A. M. A., Ridway K., 1997. Computerised methodologies for modelling computer integrated manufacturing systems. Proceedings of 32nd International MATADOR conference, Manchester, 111–116.

    Google Scholar 

  18. Chryssolouris G., Anifantis N., Karagianis S., 1998. An approach to the dynamic modelling of manufacturing systems. International Journal of Production Research, 38 (90), 475-483.

    Google Scholar 

  19. Baines T. S., Harrison D. K., 1999. An opportunity for system dynamics in manufacturing system modelling. Production Planning & Control, 10 (6), 542-552.

    Google Scholar 

  20. Perera T., Liyanage K., 2000. Methodology for rapid identification and collection of input data in the simulation of manufacturing systems. Simulation Practice and Theory, 646-656.

    Google Scholar 

  21. Borenstein D., 2000. Implementation of an object-oriented tool for the simulation of manuiactuting systems and its application to study the effects ifflexibility. International Journal of Production Research, 38 (9) 2125-2142.

    Google Scholar 

  22. Wang Q., Chatwin C. R. et al., 2002. Modelling and simulation if integrated operations and information systems in manufacturing (‘A’ rating awarded), The International Journal of Advanced Manufacturing Technology, Vol. 19, pp. 142-150.

    Google Scholar 

  23. Wang Q., Chatwin C. R. et al. Comparative dynamic performance of token passing and CSMA/CD LANs for aJlexible manufacturing system, The International Journal of Computer Integrated Manufacturing, in press.

    Google Scholar 

  24. Wang Q., Geha A., Chatwin C. R. et al., 2002. Computer enhanced network design for time-critical integrated manufacturing plants, 1st CIRP (UK) International Seminar on ‘Digital Enterprise Technology’ (DET02), Proceedings of the 1st CIRP(UK) Seminar on Digital Enterprise Technology, Durham, UK, pp.251-254.

    Google Scholar 

  25. Angelo A. D., Gastaldi M., Levialdi N., 1996. Dynamicanalysis of the performance of a flexible manufacturing systems: a real case application. Computer Integrated Manufacturing Systems, 9 (2), 101-110.

    Google Scholar 

  26. Fokkert JI. V. Z. D., 1998. Process flow design for repetitive assembly. The BETA Research Institute.

    Google Scholar 

  27. Grunow M., 2000. Simulation-based performance analysis and optimisation of electronics assembly equipment. International Journal of Production Research, 38 (17) 4247-4259.

    Google Scholar 

  28. Peden C. D., Shannon R. P, Sadowski R. P, 1995. Introduction to simulation using SIMAN, System Modelling Corporation (McGraw-Hill, Inc.).

    Google Scholar 

  29. Chan F. T. S., 1992. Feasibility of modular simulation models for FMSs. Computer-Integrated Manufacturing Systems, 5 (4), 253-255.

    Google Scholar 

  30. System Modelling Corporation 1998. ARENA user guides (1994-1998).

    Google Scholar 

  31. Brooks Roger J., Tobias A. M., 2000. Simpliiication in simulation if manufacturing systems. International Journal of Production Research, 38 (5), 1009-1027.

    Google Scholar 

  32. [32] Kelton W. D., Sadowski R. P, Sadowski D. A., 2001. Simulation with Arena (McGraw Hill College Div.).

    Google Scholar 

  33. Ostle B., Turner K. V., Hicks C. R., McElrath G. W, 1996. Engineering statistics: the industrial experience (Wadsworth Publishing company).

    Google Scholar 

  34. Arsham H., 2002. Systems simulation: the shortest path from leaning to applications. Teching handout. EOF@1995-2002, University of Baltimore, USA.

    Google Scholar 

  35. Chan F. T. S., Jiang B., Tang N. K. H., 2000. The development of intelligent decision support tools to aid the design offlexible manlifacturing systems. International Journal of Production Economics, 65 (2000), 73-84.

    Google Scholar 

  36. Lee Y. T., 2001. An overview of information modelling for manufacturing systems integration. Manufacturing Systems Integration Division and National Institute of Standards and Technology.

    Google Scholar 

  37. Baines T. S., Harrison D. K., 1999. An opportunity for system dynamics in manufacturing system modelling. Production Planning & Control, 10 (6) 542-552.

    Google Scholar 

  38. Chou Y. C., 1999. Configuration design of complex integrated manufacturing systems. International Journal of Advanced Manufacturing Technology, 15:907-913.

    Google Scholar 

  39. Spathopoulos M. P, Ridder M. de, 1999. Modelling and distributive control design of a flexible manufacturing system. Computers in Industry, 38 (1999), 115-130.

    Google Scholar 

  40. Tobaben F., 1997. WITNESS modelling, simulation, and statistical analysis of an assembly line for Rolls-Royce Motor Cars Ltd. Project Report, Technical University of Braunschweig.

    Google Scholar 

  41. CACI Products Company, 1998. COMNET III® reference guide, Release 2.0.

    Google Scholar 

  42. Pimentel J. R., 1990. Communication networks for manujacturing (Prentice-Hall, Inc.).

    Google Scholar 

  43. Ikbal M., Rondeau E., Divoux T., 2001. Industrial systems communications: design and integration. International Journal of Computer Integrated Manufacturing, 14 (6), 545-559.

    Google Scholar 

  44. Ikbal M., Rondeau E., Divoux T., 2001. Industrial systems communications: design and integration. International Journal of Computer Integrated Manufacturing, 14 (6), 545-559.

    Google Scholar 

  45. Stallings W., 1999. Data and computer communications (Prentice-Hall, Inc.).

    Google Scholar 

  46. Carrie A., 1988. Simulation of mamifacturing systems (John Wiley & Sons Ltd).

    Google Scholar 

  47. Mcginnis L. F, Amrnons J. C., et al., 1992. Automated process planning for printed circuit card assembly. IIE transactions 24 (4),19-31.

    Google Scholar 

  48. Little D., Hemmings A., 1994. Automateda assembly scheduling: a review. Computer Integrated Manufacturing Systems, 7 (1), 51-56.

    Google Scholar 

  49. Choi S. H., Lee S. L., et al., 2000. The design architecture and implementation of an integrated manufacturing system. International Journal of Computer Integrated Manufacturing, 10 (1997), 232-244.

    Google Scholar 

  50. G. A. J. van der Vorst Jack, 2000. Modelling and simulation multi-echelon food systems. European Journal of Operational Research, 122 (2000), 354-366.

    Google Scholar 

  51. Chryssolouris G., Anifantis N., Karagianis S., 1998. An approach to the dynamic modelling of manufacturing systems. International Journal of Production Research, 38 (90), 475-483.

    Google Scholar 

  52. Rao H. A., 1997. Design methodology and integrated approach for design of manufacturing systems. Integrated Manufacturing Systems, 8/3 (1997), MCB University Press (ISSN0957-6061) 159-172.

    Google Scholar 

  53. Guest Editorial 2001. Modelling, specification and analysis of manufacturing systems. International Journal of Production Research, 39 (2), 159-162.

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Engineering and Information Technology, University of Sussex, Brighton, UK

    Qian Wang, Chris R. Chatwin & R. C. D. Young

  2. Department of Mechanical Engineering, University of Bath, Bath, UK

    Qian Wang

Authors
  1. Qian Wang
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  2. Chris R. Chatwin
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  3. R. C. D. Young
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Editor information

Editors and Affiliations

  1. University of California, Los Angeles, USA

    Cornelius T. Leondes

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© 2005 Kluwer Academic Publishers

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Wang, Q., Chatwin, C.R., Young, R.C.D. (2005). Modelling Techniques in Integrated Operations and Information Systems in Manufacturing Systems. In: Leondes, C.T. (eds) Intelligent Knowledge-Based Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4020-7829-3_14

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  • DOI: https://doi.org/10.1007/978-1-4020-7829-3_14

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4020-7746-3

  • Online ISBN: 978-1-4020-7829-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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