Research on PDCA Optimization Model Based on PID Control Theory
DOI: 10.23977/ieim.2021.040303 | Downloads: 6 | Views: 720
Author(s)
Rong Luo 1, Xianghong Ren 1, Feng Zhou 1, Miaomiao Fan 1, Yizhi Zeng 1
Affiliation(s)
1 Rocket Force University of Engineering, Xi’an, P.R. China
Corresponding Author
Xianghong RenABSTRACT
In view of the shortcoming that PDCA cycle theory in management can not point out how to analyze deviation data before processing action, and then put forward what kind of deviation correction treatment strategy should be adopted, the PID-PDCA closed-loop management model is proposed by introducing PID control concept of automatic control principle. It is hoped that the past historical deviation information can be fully used after checking and obtaining the current deviation information and the target deviation information and before taking the correction treatment, so as to realize the comprehensive research and prediction of the past information, the current state and the future trend, so as to provide better guidance for the correction processing. An intuitive and clear analysis strategy model is proposed for the management system to achieve a fast, stable and accurate response to the plan, so that the management is smooth and orderly, and the cost input is controllable and acceptable.
KEYWORDS
PID, PDCA, closed-loop management model, correctionCITE THIS PAPER
Rong Luo, Xianghong Ren, Feng Zhou, Miaomiao Fan, Yizhi Zeng, Research on PDCA Optimization Model Based on PID Control Theory. Industrial Engineering and Innovation Management (2021) 4: 18-23. DOI: http://dx.doi.org/10.23977/ieim.2021.040303.
REFERENCES
[1] Zhou Sanduo, Chen Chuanming, LONG Jing. Principles of Management [M]. 3. Nanjing University Press.
[2] Yang Shijie, Yang Zhiming. Principle and application of closed-loop management [J]. Nonferrous Metals Industry, 1998(11):4-8.
[3] Li Bing, XU Qiujing, ZENG Fanju. Principle of Automatic Control [M]. 1. Posts and Telecommunications Press.
[4] Qiu Li, ZENG Guie, ZHU Xuefeng, and SUN Peiqiang. Comparison of Several PID Controller Parameter Setting Methods [J]. Automation Technology and Application, 2005(11): 31-34.
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