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A Computer-Aided Process Planning Method Considering Production Scheduling

  • Eiji MorinagaEmail author
  • Hiroki Joko
  • Hidefumi Wakamatsu
  • Eiji Arai
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 459)

Abstract

Process planning plays an important role as a bridge between product design and manufacturing. Computer-aided process planning (CAPP) has been actively discussed in this half century, and numerous works have been conducted. To meet recent strong requirements for realizing agile manufacturing, a set of flexible process planning methods have been developed. Those methods dealt with process planning only for one product and generate the optimal plan which achieves the shortest total machining time. However, in real manufacturing, multiple workpieces are machined with multiple machine tools in the same period, and pursuing the shortest machining time for each workpiece may result in poor productivity. This research aims to enhance those methods from the point of view of total productivity. Selection of the optimal process plan in the conventional methods and production scheduling were merged and then formulated as a 0-1 integer programming problem. This method was applied to a simple example and its potential was shown.

Keywords

Production Schedule Optimal Plan Machine Feature Integer Programming Problem Machine Sequence 
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.

Notes

Acknowledgement

We thank MAZAK Foundation for its financial support.

References

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Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Eiji Morinaga
    • 1
    Email author
  • Hiroki Joko
    • 1
    • 2
  • Hidefumi Wakamatsu
    • 1
  • Eiji Arai
    • 1
  1. 1.Division of Materials and Manufacturing ScienceOsaka UniversitySuitaJapan
  2. 2.Tokyo Institute of TechnologyMeguroJapan

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