Optimizing Maintenance Strategy of Multi-Stage Production System Based on Genetic Algorithm and Configuration

Nan Xie; Martin Wiederhold; Bei Rong Zheng; Wei Xue; Peter Dittrich

doi:10.4028/www.scientific.net/AMM.365-366.576

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 365-366Optimizing Maintenance Strategy of Multi-Stage...

Optimizing Maintenance Strategy of Multi-Stage Production System Based on Genetic Algorithm and Configuration

Abstract:

The optimized maintenance strategy of multi-stage production line is influenced by device processing ways, parts process plan and equipment deterioration process and other factors. Moreover, the production processes of parts exist constraint relationship. Based machining process plan of complex parts, the order relations of its operation processes is analyzed; the optimized multi-stage production line maintenance model is constructed with multiple objectives including production time, maintenance time, production cost and maintenance cost; the genetic algorithm is used to solve the model, and the Monte Carlo method is applied to carry out the simulation computation for fitness function of chromosome of genetic algorithm; the results give the maintenance threshold of each equipment of the line, their configurations and allocation of the various operation processes of parts at the same time. Finally, an example is presented to prove the effectiveness.

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Periodical:

Applied Mechanics and Materials (Volumes 365-366)

Pages:

576-579

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.365-366.576

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Online since:

August 2013

Authors:

Nan Xie, Martin Wiederhold, Bei Rong Zheng, Wei Xue, Peter Dittrich

Keywords:

Genetic Algorithm (GA), Maintenance Strategy, Multi-Stage Production System, Optimization

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