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Ordering Problem of Vascular Robot Based on Time Series Prediction

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DOI: 10.23977/jaip.2022.050402 | Downloads: 12 | Views: 679

Author(s)

Yuting Zhang 1, Xingxiang Liu 1, Ying Dong 1

Affiliation(s)

1 Yan'an University, Yan'an, 716000, China

Corresponding Author

Yuting Zhang

ABSTRACT

The vascular robot is used to treat diseases related to blood vessels. The vascular robot can carry drugs into blood vessels to treat diseases related to blood vessels. At the same time, the operator needs a week of maintenance before he can continue to work. If the robot is not scheduled to work, it also needs maintenance, which will incur corresponding costs. This paper studies how to determine the number of vessels and manipulators to be purchased in vascular robots under different constraints. Firstly, this paper establishes a multi-step decision-making model and analyzes the best time to purchase the container boat and the operator. Then using the least squares curve fitting to analyze the data, through multivariate linear programming, multi-step decision, integer programming and other methods to solve, finally determine the optimal number of ordering vascular robots.

KEYWORDS

Fitting curve, Integer programming, Multi-step programming, Time series forecasting model

CITE THIS PAPER

Yuting Zhang, Xingxiang Liu, Ying Dong, Ordering Problem of Vascular Robot Based on Time Series Prediction. Journal of Artificial Intelligence Practice (2022) Vol. 5: 8-14. DOI: http://dx.doi.org/10.23977/jaip.2022.050402.

REFERENCES

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