Paper
10 November 2022 Research on optimization of aluminum electrolysis product tending machine queuing system with non-preemptive priority
Libo Song, Haibo Shi, Chang Liu, Jun Zhu
Author Affiliations +
Proceedings Volume 12331, International Conference on Mechanisms and Robotics (ICMAR 2022); 123312L (2022) https://doi.org/10.1117/12.2653070
Event: International Conference on Mechanisms and Robotics (ICMAR 2022), 2022, Zhuhai, China
Abstract
Product tending machine (PTM) is one of the most important equipment in the aluminum electrolysis production process, for the problem of PTM optimization, a queuing system model of aluminum electrolysis PTM is proposed for the first time. According to the actual production situation of the aluminum electrolysis industry, a non-preemptive priority M/G/1 aluminum electrolysis PTM queuing system model is defined, and the general calculation formula of the operating index of the non-preemptive priority PTM queuing system is given, including queuing system length, waiting time, optimal service rate, etc. According to the actual production data of an aluminum factory, the relevant indicators were calculated and analyzed, and the relationship between the operating indicators and the number of electrolysis cells was drawn. Finally, under the conditions of meeting different operating indicators, the optimal matching scheme of PTM and aluminum electrolysis cells was given.
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Libo Song, Haibo Shi, Chang Liu, and Jun Zhu "Research on optimization of aluminum electrolysis product tending machine queuing system with non-preemptive priority", Proc. SPIE 12331, International Conference on Mechanisms and Robotics (ICMAR 2022), 123312L (10 November 2022); https://doi.org/10.1117/12.2653070
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KEYWORDS
Aluminum

Systems modeling

Analytical research

Optimization (mathematics)

Data modeling

Instrument modeling

Silicon

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