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Research on Setup Adjustment Problem Considering Adjustment Error Based on AR Model

In: Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012)

Author

Listed:
  • Zhi-jie Zhang

    (Tianjin University)

  • Zhan-wen Niu

    (Tianjin University)

  • Zhen He

    (Tianjin University)

  • Xu-tao Zhang

    (Academy of Military Transportation)

Abstract

Aiming at the short-run discrete manufacturing process with setup error, the optimal adjustment scheme to minimize the total process quality loss for the situation of adjustment with quadratic cost and considering adjustment error based on autoregressive (AR) model is developed. Based on the state-space process control model, the optimal adjustment scheme is derived by using Kalman filter on line estimation and linear quadratic Gaussian (LQG) theory. A simulation case is presented to illustrate the implement method of the optimal adjustment policy. Furthermore, the optimal adjustment scheme is compared with other quality control policy by simulations, and the results show that the adjustment solution presented by this paper is more effective than other to reduce the total quality loss of the process.

Suggested Citation

  • Zhi-jie Zhang & Zhan-wen Niu & Zhen He & Xu-tao Zhang, 2013. "Research on Setup Adjustment Problem Considering Adjustment Error Based on AR Model," Springer Books, in: Runliang Dou (ed.), Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012), edition 127, chapter 0, pages 271-279, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-33012-4_28
    DOI: 10.1007/978-3-642-33012-4_28
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