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Research on the Selection Problem of Machine Tools in Cloud Manufacturing Environment

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Abstract:

This paper proposes a method to choose machine resources in order to realize the on-demand use of machine resources in cloud manufacturing environment. A convergence mode of the machine resources is described and the selection process is given. A multi-level matching process of machine tools is proposed. Different matching methods are designed for different parameter types of machining tasks and machine resources, and then machine resources are screened according to the requirements of machining tasks to form the machine resources candidate sets. Then a multi-objective optimal selection model of machine resources is constructed, regarding minimization of costs and time and maximization of service quality and reputation as the target, which is solved by using genetic algorithms. Finally, the algorithm is analyzed and validated with an example, and a kind of solution thinking and method is provided to select machine tools in manufacturing cloud environment.

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Info:

Periodical:

Materials Science Forum (Volumes 800-801)

Pages:

649-653

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.800-801.649

Citation:

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Online since:

July 2014

Authors:

Shu Qi Wang*, Yun Xia Jiang, Min Li Zheng, Dong Nan Sun, Xiao Liang Cheng

Keywords:

Cloud Manufacturing, Genetic Algorithm (GA), Machine Tool, Matching Methods, Optimal Selection

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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