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Application of The Optimization Decision Model of Discrete Random Events in the Lathe Management

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DOI: 10.23977/cybem.2019.11001 | Downloads: 2 | Views: 164

Author(s)

Lepeng Chen 1, Ruiming Yu 1, Yuhao Deng 1, Chen Zhan 1, Yingqian Yu 1, Zhiyu Shang 1

Affiliation(s)

1 College of Electrical Engineering & New Energy, China Three Gorges University, Yichang, 443002, China

Corresponding Author

Lepeng Chen

ABSTRACT

This paper solves the optimization decision problem of inspection cycle and tool change cycle in automatic lathe management. The historical data is used to verify that the number of produced parts obeys the normal distribution when the lathe is faulty, and the corresponding model is established for the two problems to optimize the solution. An optimization decision model for discrete random events is established, and the advantages and disadvantages of the model are objectively evaluated and the model is popularized and applied.

KEYWORDS

Normal Distribution, Discrete Stochastic Optimization Model, Optimization Decision

CITE THIS PAPER

Lepeng Chen, Ruiming Yu, Yuhao Deng, Chen Zhan, Yingqian Yu and Zhiyu Shang, Application of The Optimization Decision Model of Discrete Random Events in the Lathe Management, Journal of Image Processing Theory and Applications (2019) Vol. 1: 1-8. DOI: http://dx.doi.org/10.23977/cybem.2019.11001.

REFERENCES

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[6] Kovalev V.D., Vasilchenko Y.V., Dašić P. (2014) Adaptive optimal control of a heavy lathe operation. Journal of Mechanics Engineering and Automation (JMEA), 4(4): 269-275.
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