Skip to main content

MES Scheduling Optimization and Simulation Based on CAPP/PPC Integration

  • Chapter
The Sixth International Symposium on Neural Networks (ISNN 2009)

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 56))

Abstract

Confronted with the complexity of manufacturing environment, manufacture system, and manufacturing process, how to abase this complexity is an important problem to realize production scheduling and control effectively. Thereinto, CAPP and PPC are two main modules involved in production activities. Firstly, the existing approaches of CAPP/PPC integration are analyzed. Then, a conceptual model for concurrent distributed integration of CAPP and PPC is presented. The model can achieve the integration of CAPP and PPC and solve the production planning and control in a virtual enterprise. According to the conceptual model of the functional integration of CAPP/PPC, a method to realize the functional integration of CAPP/PPC is discussed. And then, according to the requirements of single piece and small batch production, MES scheduling optimization can be realized based on CAPP/PPC Integration. The structure of the scheduling sub-system of MES is also presented that is consisted of three core modules, namely operation planning, operation scheduling, and material tracing module. Finally, based on Witness, a simulation model of a specific workshop is established. Through the comparison of scheduling schemes, the optimal MES scheduling scheme is obtained.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Zhang, X.D., Yan, H.S.: Integrated Optimization of Production Planning and Scheduling for Multi-Stage Workshop. Chinese Journal of Mechanical Engineering 41, 98–105 (2005)

    Article  MATH  Google Scholar 

  2. He, Y., Liu, F., Shi, J.L.: A Framework of Scheduling Models in Machining Workshop for Green Manufacturing. Journal of Advanced Manufacturing Systems 7, 319–322 (2008)

    Article  Google Scholar 

  3. Wei, Y., Li, D.B., Yuan, M.H.: Research on Manufacturing Execution System for Agile Assembling Resource Reconfiguration Based on Agent. Machine Tool & Hydraulics 36, 44–47, 52 (2008)

    Google Scholar 

  4. Wang, Q.F., Liu, F., Huang, H.L.: Service-Oriented Reconfigurable Manufacturing Execution System for Discrete Workshop. Computer Integrated Manufacturing Systems 14, 737–743 (2008)

    MATH  Google Scholar 

  5. Pan, Y., Zhang, W.X.: Research on Multi-Agent-Based MES Structure of Discrete Manufacturing Industry. Application Research of Computers 26, 244–246, 249 (2009)

    Google Scholar 

  6. Cheng, Z.L., Fan, Y.Q.: Design of component-based flexible MES in metallurgical industry. Computer Integrated Manufacturing Systems 13, 490–496 (2007)

    Google Scholar 

  7. Zhou, W.K., Zhu, J.Y.: Application of Workflow Technology for Workshop Scheduling. Journal of Harbin Institute of Technology (New Series) 12, 105–110 (2005)

    MATH  Google Scholar 

  8. Chu, H.Y., Cao, Q.J., Fei, R.Y.: Production Scheduling Research for Workshop Based on Manufacturing Cell. Journal of Beijing University of Technology 32, 730–736 (2006)

    Google Scholar 

  9. Liu, M., Yan, J.W.: An Adaptively Annealing Genetic Algorithm Based Scheduling Method of Workshop Daily Operating Planning. Chinese Journal of Computers 30, 1164–1172 (2007)

    Google Scholar 

  10. Yu, X.Y., Sun, S.D., Chu, W.: Parallel Cooperative Evolutionary Genetic Algorithm for Multi-Workshop Planning and Scheduling Problems. Computer Integrated Manufacturing Systems 14, 991–1000 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Cao, Y., Liu, N., Yang, L., Yang, Y. (2009). MES Scheduling Optimization and Simulation Based on CAPP/PPC Integration. In: Wang, H., Shen, Y., Huang, T., Zeng, Z. (eds) The Sixth International Symposium on Neural Networks (ISNN 2009). Advances in Intelligent and Soft Computing, vol 56. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01216-7_65

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-01216-7_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01215-0

  • Online ISBN: 978-3-642-01216-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics