Manufacturing process modelling using object-oriented qualitative analysis methodology

Transactions of the Institute of Measurement & Control

Volumn 18, Issue 2, 1996, Pages 77-91

  Wright, David T ^a   Williams, David J ^a  

^a LOUGHBOROUGH UNIVERSITY   (United Kingdom)

Author keywords

complex process; Object oriented; pultrusion; qualitative analysis

Indexed keywords

COMPUTER AIDED DESIGN; COMPUTER INTEGRATED MANUFACTURING; COMPUTER SIMULATION; IDENTIFICATION (CONTROL SYSTEMS); LARGE SCALE SYSTEMS; NEURAL NETWORKS; NUMERICAL CONTROL SYSTEMS; OBJECT ORIENTED PROGRAMMING; PULTRUSION; REAL TIME SYSTEMS;

OBJECT ORIENTED QUALITATIVE ANALYSIS; REAL TIME PROBLEM ANALYSIS;

COMPUTER AIDED ANALYSIS;

EID: 0029719777     PISSN: 01423312     EISSN: None     Source Type: Journal    
DOI: 10.1177/014233129601800203     Document Type: Article

References (35)

1. Albus, J.S. 1991. ‘Outline for a theory of intelligence’, IEEE Trans on Systems, Man, and Cybernetics, 21(3), May/June, 473-509.
2. Booch, G. 1991. Object-Oriented Design with Applications, The Benjamin/Cummings Publishing Company, Inc.
3. Burns, A., and Wellings, A. 1991. Real- Time Systems and Their Programming Languages, Addison-Wesley Publishing Company.
4. Cawley, P., Drinkwater, B.W., and Castaings, M. 1995. ‘Ultrasonic testing without coupling faults’, Proc Control, Design and Production EPSRC Research Conf, Heriot-Watt University, Scotland, Sep, 45-50.
5. Coad, P., and Yourdon, E. 1991. Object-Oriented Analysis, Yourdon Press, Prentice-Hall, Inc.
6. Colangelo, M., and Naitove, M.H. 1983. ‘Pultrusion process technology: beyond infancy, not yet mature’, Plastics Technology, August, 49-53.
7. Department of Trade & Industry. 1994. Neural Computing, Learning Solutions: Best Practice Guidelines for Developing Neural Computing Applications, Touche Ross Management Consultants.
8. Espejo, R., and Harnden, R. 1989. The Viable System Model - Interpretations and Applications of Stafford Beer's VSM, John Wiley & Sons Ltd.
9. Gaines, B.R., Norrie, D.H., and Lapsley, A.Z. 1995. ‘Mediator: an intelligent information system supporting the virtual manufacturing enterprise’, Proc IEEE Int Conf on Systems, Man and Cybernetics, Vancouver, 22-25 Oct, Vol 1, 964-969.
10. Hatley, D.J., and Pirbhai, I.A. 1987. Strategies for Real-Time System Specification, Dorset House.
11. Henry, M.P., and Clarke, D.W. 1993. ‘The self-validating sensor: rationale, definitions and examples’, J Control Engineering Practice, 1(4), 585-610.
12. Jacobsen, I., Ericsson, M., and Jacobsen, A. 1994. The Object Advantage: Business Process Re-engineering with Object Technology, Addison-Wesley Publishing Company.
13. Kalpakjian, S. 1989. Manufacturing Engineering and Technology, Addison-Wesley Publishing Company.
14. LeClair, S.R., and Abrams, F.L. 1989. ‘Qualitative process automation’, Int J of Computer Integrated Manufacturing, 2(4), 205-211.
15. Marquardt, W. 1992. ‘An object-oriented representation of structured process models’, Proceedings European Symp on Computer Aided Process Engineering, Vol 1, 329-336.
16. Martin, J., and Odell, J. 1991. The Object Oriented Revolution, Savant Institute.
17. Masters, T. 1993. Practical Neural Network Recipes in C ++, Academic Press Inc.
18. May, G.S. 1994. “Manufacturing ICs the neural way’, IEEE Spectrum, September, 47-51.
19. Meyer, W.J. 1984. Concepts of Mathematical Modelling, McGraw-Hill International.
20. Nadi, F., Agogino, A.M., and Hodges, D.A. 1991. ‘Use of influence diagrams and neural networks in modeling semiconductor manufacturing processes’, IEEE Trans on Semiconductor Manufacturing, 4(1), February, 52-58.
21. Pressman, R.S. 1992. Software Engineering - A Practitioner's Approach, McGraw-Hill Inc.
22. Qin, S.J. 1993. ‘A statistical perspective of neural networks for process modelling and control’, Proc IEEE 8th Int Symp on Intelligent Control, Chicago, USA, August, 599-604.
23. Rosato, D.V., and Grove, C.S. (Jr). 1964. Filament Winding: its Development, Manufacture, Applications and Design, Interscience Publishers of John Wiley & Sons, New York.
24. Rumbaugh, J., Blaha, M., Premerlani, W., Eddy, F., and Lorensen, W. 1991. Object-Oriented Modeling and Design, Prentice-Hall, Inc.
25. Stephanopoulos, G. 1984. Chemical Process Control: An Introduction to Theory and Practice, Prentice-Hall, Inc.
26. Struss, P. 1988. ‘Qualitative reasoning - an introduction’, Advanced Reasoning Methods Siemens Report, INF2 ARM-12-88, pp 61.
27. Sutcliffe, A.G. 1991. ‘Object-oriented systems development: survey of structured methods’, Information and Software Technology, 33(6), August, 433-442.
28. Tang, J-M., Lee, W.I., and Springer, G.S. 1987. ‘Effects of cure pressure on resin flow, voids, and mechanical properties’, J of Composite Materials, 21, May, 421-440.
29. Tsang, J.P. 1986. ‘Genericity in expert process planning systems’, Proc Applications of Artificial Intelligence Engineering Problems 1st Int Conf, Southampton University, UK, April, Vol1, 621-636.
30. Ward, P.T., and Mellor, S.J. 1985. Structured Development for Real-Time Systems (three volumes), Yourdon Press.
31. Williams, D.J., West, A.A., and Hinde, C.J. 1991. ‘A hierarchical model of intelligent materials processing’, Proc IEEE 6th Int Symp on Intelligent Control, Arlington, August, 330-333.
32. Wilson, M.L., and Buckley, J.D. 1994. ‘The potential for low-cost thermoplastic pultrusion ‘, J of Reinforced Plastics and Composites, 13(10), 927-941.
33. Wright, D.T., and Williams, D.J. 1993. ‘Object-like software design methods for intelligent real-time process control’, Proc IEEE 8th Int Sympt on Intelligent Control, Chicago, USA, August, 144-149.
34. Wright, D.T., and Williams, D.J. 1994. ‘Interpretation of pultrusion experiments processing Derakane 440/40 and glass fibre’, Manufacturing Processes Group Technical Report 94/7.1, LUT, July.
35. Wright, D.T., and Williams, D.J. 1995. ‘Building a hybrid pultrusion Derakane 440/40 process model using neural networks and process data’, Proc IEEE Int Conf on Systems, Man and Cybernetics, Vancouver, 22-25 Oct. Vol 4, 3748-3753.