14. Multivariate Statistical Process Control

  1. Huamin Zhou
  1. Yuan Yao1 and
  2. Furong Gao2

Published Online: 28 MAR 2013

DOI: 10.1002/9781118444887.ch14

Computer Modeling for Injection Molding: Simulation, Optimization, and Control

Computer Modeling for Injection Molding: Simulation, Optimization, and Control

How to Cite

Yao, Y. and Gao, F. (2013) Multivariate Statistical Process Control, in Computer Modeling for Injection Molding: Simulation, Optimization, and Control (ed H. Zhou), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118444887.ch14

Editor Information

  1. State Key Laboratory of Materials Processing and Die & Mould Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China

Author Information

  1. 1

    Department of Chemical Engineering, National Tsing Hua University, Hsinchu, Taiwan

  2. 2

    Department of Chemical and Biomolecular Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong, China

Publication History

  1. Published Online: 28 MAR 2013
  2. Published Print: 22 FEB 2013

ISBN Information

Print ISBN: 9780470602997

Online ISBN: 9781118444887

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Keywords:

  • MSPC in batch/injection;
  • APC/EPC, and SPC in safety;
  • PCA, score/residual space;
  • sub-PCA, variable measure;
  • sub-PCA, uneven in abnormalities

Summary

This chapter contains sections titled:

  • Statistical Process Control

  • Multivariate Statistical Process Control

  • MSPC for Batch Processes

  • MSPC for Injection Molding Process

  • Conclusions

  • References