Skip to main content

A New Method for Manufacturing Process Autonomous Planning in Intelligent Manufacturing System

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 349))

Abstract

This paper presents a new method for autonomous computer aided process planning (A-CAPP) in intelligent manufacturing system, in which the related input and output of the system are discussed on the basis of comparative analysis of traditional CAPP. The crucial functional components of the A-CAPP system, such as event scheduling management, manufacturing process planning, operation process/step planning, numerical control machining program planning, process simulation and evaluation, are introduced; and the methods of process knowledge management, including process feature knowledge, manufacturing resource knowledge and process method knowledge, are discussed as well. A-CAPP applied for intelligent manufacturing system can effectively support the production line reconstruction dynamically; shorten the time of production line configuration modification in accordance with customers’ requirement change or market requirement fluctuation, and further more to balance the production lines load.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Xu, X., Wang, L., Newman, S.T.: Computer-aided process planning—a critical review of recent developments and future trends. Int. J. Comput. Integr. Manuf. 24(1), 1–31 (2011)

    Article  Google Scholar 

  2. Cay, F., Chassapis, C.: An IT view on perspectives of computer aided process planning research. Comput. Ind. 34(3), 307–337 (1997)

    Article  Google Scholar 

  3. Marri, H.B., Gunasekaran, A., Grieve, R.J.: Computer-aided process planning: a state of art, 261–268(1998)

    Article  Google Scholar 

  4. Kumar, M., Rajotia, S.: Integration of scheduling with computer aided process planning. J. Mater. Process. Technol. 138(1–3), 297–300 (2003)

    Article  Google Scholar 

  5. Bard, J.F., Feo, T.A.: The cutting path and tool selection problem in computer aided process planning. J. Manuf. Syst. 8(1), 17–26 (1989)

    Article  Google Scholar 

  6. Yusof, Y., Latif, K.: Survey on computer-aided process planning. Int. J. Adv. Manuf. Technol. 75(1–4), 77–89 (2014)

    Article  Google Scholar 

  7. Halevi, G., Weill, R.D.: Computer-aided process planning (CAPP). In: Halevi, G. (ed.) Principles of Process Planning, pp. 317–332. Springer, Dordrecht (1995). https://doi.org/10.1007/978-94-011-1250-5_15

    Chapter  Google Scholar 

  8. Ciurana, J., Ferrer, I., Gao, J.X.: Activity model and computer aided system for defining sheet metal process planning. J. Mater. Process. Technol. 173(2), 213–222 (2006)

    Article  Google Scholar 

  9. Sarcar, M.M.M., Rao, K.M., Narayan, K.L.: Computer aided design and manufacturing. PHI Learning Pvt. Ltd 10. (2008)

    Google Scholar 

  10. Culler, D.E., Burd, W.: A framework for extending computer aided process planning to include business activities and computer aided design and manufacturing (CAD/CAM) data retrieval. Robot. Comput. Integr. Manuf. 23(3), 339–350 (2007)

    Article  Google Scholar 

  11. Rösiö, C., Säfsten, K.: Reconfigurable production system design theoretical and practical challenges. J. Manuf. Technol. Manag. 24(7), 998–1018 (2013)

    Article  Google Scholar 

  12. Hasan, F., Jain, P.K., Kumar, D.: Optimum configuration selection in reconfigurable manufacturing system involving multiple part families. Opsearch 51(2), 297–311 (2014)

    Article  Google Scholar 

  13. Wang, G.X., Huang, S.H., Yan, Y., Du, J.J.: Reconfiguration schemes evaluation based on preference ranking of key characteristics of reconfigurable manufacturing systems. Int. J. Adv. Manuf. Technol. 89, 2231–2249 (2017)

    Article  Google Scholar 

  14. http://support.ptc.com/help/windchill/whc/whc_en/index.html#page/Windchill_Help_Center%2FExpMPM_Oview.html%23. Accessed 25 Feb 2019

  15. https://www.3ds.com/products-services/delmia/products/. Accessed 25 Feb 2019

  16. https://www.plm.automation.siemens.com/global/en/. Accessed 25 Feb 2019

Download references

Acknowledgement

This project is funded by the State Key Research and Development Program of China (2017YFE0118700); and received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 734599.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Shuangyu Wei or Yuewei Bai .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wei, S. et al. (2019). A New Method for Manufacturing Process Autonomous Planning in Intelligent Manufacturing System. In: Proper, H., Stirna, J. (eds) Advanced Information Systems Engineering Workshops. CAiSE 2019. Lecture Notes in Business Information Processing, vol 349. Springer, Cham. https://doi.org/10.1007/978-3-030-20948-3_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-20948-3_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20947-6

  • Online ISBN: 978-3-030-20948-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics