Applying Multi-Objective Particle Swarm Optimization to Maintenance Scheduling for CNC Machine Tools

Zhi Hui Yao; Min Zhou

doi:10.4028/www.scientific.net/AMM.721.144

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 721Applying Multi-Objective Particle Swarm...

Applying Multi-Objective Particle Swarm Optimization to Maintenance Scheduling for CNC Machine Tools

Abstract:

This paper focuses on the maintenance scheduling for CNC machine tools. A bi-objective mathematical model is built with the repair time and maintenance cost. A multi-objective particle swarm optimization (MOPSO), which combines the global best position adaptive selection and local search, is proposed to solve the mathematical model. The results show that MOPSO has a better performance than other method for solving the maintenance scheduling. They also show that MOPSO is an effective algorithm that has strong convergence.

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Periodical:

Applied Mechanics and Materials (Volume 721)

Pages:

144-148

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.721.144

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Online since:

December 2014

Authors:

Zhi Hui Yao, Min Zhou*

Keywords:

CNC Machine Tools, Maintenance Scheduling, Multi-Objective Particle Swarm Optimization

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* - Corresponding Author

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