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Reconfiguring Process Plans: A New Approach to Minimize Change

  • A. Azab
  • Hoda A. ElMaraghy
  • S. N. Samy
Chapter
Part of the Springer Series in Advanced Manufacturing book series (SSAM)

Abstract

In a customer driven market, the increasing number of product variants is a challenge most engineering companies face. Unpredictable changes in product design and associated engineering specifications trigger frequent changes in process plans, which often dictate costly and time consuming changes to jigs, fixtures and machinery. Process Planning should be further developed to cope with evolving parts and product families, increased mass customization and reduced-time-tomarket. Agility and responsiveness to change is important in process planning. The current methods do not satisfactorily support this changeable manufacturing environment. They involve re-planning or pre-planning, where new process plans are generated from scratch every time change takes place, which results in production delays and high costs due to consequential changes and disruptions on the shop floor. The obvious cost, limitations and computational burden associated with the re-planning/pre-planning efforts are avoided by the developed methods. A novel process planning concept and a new mathematical programming model have been developed to genuinely reconfigure process plans to optimize the scope, extent and cost of reconfiguration and to overcome the complexity and flaws of existing models. Hence, process planning has been fundamentally changed from an act of sequencing to that of insertion. For the first time, the developed methods reconfigure process plans to account for changes in parts’ features beyond the scope of original product families. A new criterion in process planning has been introduced to quantify the extent of resulting plan changes and their downstream implications. The presented method was shown to be cost effective, time saving, and conceptually and computationally superior. This was illustrated using two case studies in different engineering domains. The developed hypothesis and model have potential applications in other disciplines of engineering and sciences.

Keywords

Machine Tool Process Planning Work Piece Product Family Precedence Constraint 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Azab A., 2003, Optimal Sequencing of Machining Operations, Department of Mechanical Engineering. Cairo, Cairo University. M. Sc.Google Scholar
  2. Azab A., 2008, Reconfiguring Process Plans: A Mathematical Programming Approach, Dept. of Industrial & Manufacturing Systems Engineering. Windsor, University of Windsor. Ph.D.: 150.Google Scholar
  3. Azab, A. and ElMaraghy, H., 2007a, "Mathematical Modeling for Reconfigurable Process Planning," CIRP Annals, vol. 56, n1 pp. 467-472. 10.1016/j.cirp.2007.05.112CrossRefGoogle Scholar
  4. Azab A, ElMaraghy H., 2007b, Process Plans Reconfiguration Using QAP Mathematical Programming, CIRP International Digital Enterprise Technology (DET) conference, Bath, UKGoogle Scholar
  5. Azab A., ElMaraghy H., 2007c, Sequential Process Planning: A Hybrid Optimal Macro-Level Approach, Journal of Manufacturing Systems (JMS) Special Issue on Design, Planning, and Control for Reconfigurable Manufacturing Systems 26/3:147--160Google Scholar
  6. Azab A., Perusi G., ElMaraghy H. and Urbanic J., 2006, Semi-Generative Macro-Process Planning for Reconfigurable Manufacturing, CIRP International Digital Enterprise Technology (DET) conference, Setubal, Portugal. Also, appeared in Digital Enterprise Technology Perspectives & Future Challenges, P. F. Cunha and P. G. Maropoulos, Springer Science pp 251--258Google Scholar
  7. Bley H., Zenner C., 2005, Feature-Based Planning of Reconfigurable Manufacturing Systems by a Variant Management Approach, 2005 CIRP 3rd International Conference on Reconfigurable ManufacturingGoogle Scholar
  8. Chen C.L.P., 1990, And/or Precedence Constraint Traveling Salesman Problem and Its Application to Assembly Schedule Generation, Los Angeles, CA, USA, IEEEGoogle Scholar
  9. Del Valle, C., Toro, M., Camacho, E. F. and Gasca, R. M., 2003, " A Scheduling Approach to Assembly Sequence Planning, Besancon, France, IEEEGoogle Scholar
  10. ElMaraghy H., AlGeddawy, T., Azab, A., 2008, Modelling Evolution in Manufacturing: A Biological Analogy, CIRP Annals 57/1:467-472, doi:10.1016/j.cirp.2008.03.136Google Scholar
  11. ElMaraghy, H.A., 1993, "Evolution and Future Perspecives of Capp," CIRP Annals, vol. 1, n42(2) pp. 739-751CrossRefGoogle Scholar
  12. ElMaraghy H.A., 2006, Reconfigurable Process Plans for Reconfigurable Manufacturing, Proceedings of DET2006, CIRP international conference on digital enterprise technologyGoogle Scholar
  13. ElMaraghy H.A., 2007, Reconfigurable Process Plans for Responsive Manufacturing Systems, Digital Enterprise Technology: Perspectives & Future Challenges, Editors: P.F. Cunha and P.G. Maropoulos, Springer Sc., ISBN: 978-0-387-49863-8, pp 35--44Google Scholar
  14. Galantucci, L. M., Percoco, G. and Spina, R., 2004, "Assembly and Disassembly Planning by Using Fuzzy Logic &Amp; Genetic Algorithms," International Journal of Advanced Robotic Systems, vol. 1, n2 pp. 67-74Google Scholar
  15. Guan, Q., Liu, J.H. and Zhong, Y.F., 2002, "A Concurrent Hierarchical Evolution Approach to Assembly Process Planning," International Journal of Production Research, vol. 40, n14 pp. 3357-3374zbMATHCrossRefGoogle Scholar
  16. Halevi G., Weill R.D., 1995, Principles of Process Planning: A Logical Approach, Chapman & Hall.Google Scholar
  17. Hetem V., 2003, Variant Process Planning, a Basis for Reconfigurable Manufacturing Systems, CIRP 2nd international conference on reconfigurable manufacturing, Ann Arbor, MI, USAGoogle Scholar
  18. Huang K.I., Wu T.-H., 1995, Computer-Aided Process Planning for Robotic Assembly, Phoenix, AZ, USA.Google Scholar
  19. Jin, Z., Song, Z.-H. and Yang, J.-X., 2007, "Process Route and Layout Design Method for Reconfigurable Manufacturing Systems," Computer Integrated Manufacturing Systems, vol. 13, n1 pp. 7-12Google Scholar
  20. Laperriere, L. and ElMaraghy, H. A., 1994, "Assembly Sequences Planning for Simultaneous Engineering Applications," International Journal of Advanced Manufacturing Technology, vol. 9, n4 pp. 231-44CrossRefGoogle Scholar
  21. Park J.H., Chung M.J., 1991, Automatic Mechanical Assembly Planning for a Flexible Assembly System, Charlottesville, VA, USA, IEEEGoogle Scholar
  22. Schuh, G., Eversheim, W., 2004, "Release-Engineering -- an Approach to Control Rising System-Complexity," CIRP Annals - Manufacturing Technology, vol. 53, n1 pp. 167-170CrossRefGoogle Scholar
  23. Shabaka A.I., ElMaraghy H.A., 2005, Mapping Products Machining Requirements and Machine Tools Structure Characteristics in RMS, International Conference on Changeable, Agile, Reconfigurable and Virtual Production.Google Scholar
  24. Shabaka A.I., ElMaraghy H.A., 2006, A Ga-Based Constraint Satisfaction Model for Generating Optimal Process Plans, Proceedings of DET2006, CIRP international conference on digital enterprise technologyGoogle Scholar
  25. Shabaka, A. I. and ElMaraghy, H. A., 2007, "Generation of Machine Configurations Based on Product Features," International Journal of Computer Integrated Manufacturing, vol. 20, n4 pp. 355-369CrossRefGoogle Scholar
  26. Song S., Li A. and Xu L., 2007, Study of Capp System Suited for Reconfigurable Manufacturing System, Shanghai, China, Institute of Electrical and Electronics Engineers Computer Society, Piscataway, NJ 08855-1331, United States.Google Scholar
  27. Tseng, Y. J., Jhang, J. F. and Huang, F. Y., 2007, "Multi-Plant Assembly Planning Models for a Collaborative Manufacturing Environment," International Journal of Production Research, vol. 45, n15 pp. 3333-3349zbMATHCrossRefGoogle Scholar
  28. Warnecke H.J., 1993, The Fractal Companya Revolution in Corporate Culture, Springer-Verlag.Google Scholar
  29. Xu, H., Tang, R.-Z. and Cheng, Y.-D., 2004, "Study of Process Planning Techniques for Reconfigurable Machine Tool Design," Journal of Zhejiang University, vol. 38 pp. 1496-1501Google Scholar
  30. Zhao, J. and Masood, S., 1999, "An Intelligent Computer-Aided Assembly Process Planning System," International Journal of Advanced Manufacturing Technology, vol. 15, n5 pp. 332-337CrossRefGoogle Scholar

Copyright information

© Springer London 2009

Authors and Affiliations

  • A. Azab
    • 1
  • Hoda A. ElMaraghy
    • 1
  • S. N. Samy
    • 2
  1. 1.Department of Industrial & Manufacturing Systems EngineeringUniversity of WindsorWindsorCanada
  2. 2.Intelligent Manufacturing Systems (IMS) CenterUniversity of WindsorWindsorCanada

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