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Research on Data Generation Method in Cloud Manufacturing Simulation Platform

[+] Author Affiliations
Chun Zhao, Lin Zhang

Beihang University, Beijing, China

Paper No. MSEC2017-2904, pp. V003T04A041; 5 pages
doi:10.1115/MSEC2017-2904
From:
  • ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing
  • Volume 3: Manufacturing Equipment and Systems
  • Los Angeles, California, USA, June 4–8, 2017
  • Conference Sponsors: Manufacturing Engineering Division
  • ISBN: 978-0-7918-5074-9
  • Copyright © 2017 by ASME

abstract

Cloud manufacturing simulation platform is used to simulate the collaboration and evolution, which among the resources, services, tasks, participants in cloud manufacturing environment. As an important part of the platform of simulation, simulation data generation method can effectively support the simulation accuracy. Data in cloud manufacturing environment are not completely random, and are closely related to the actual environment and resource characteristics. The workload of traditional random generate method or artificial method is very heavy and cannot completely rebuild the simulation environment. In this paper, Using clustering method to extract characteristics from an actual environment, and then extend the characteristics to generate new simulation data. To build a similar environment to the real environment used in the simulation. The result is shown that compared with the method to generate random data. This method can generate the reference data similar environment, the simulation can reflect the real effect in the process.

Copyright © 2017 by ASME

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