Coordination and Optimization of Large Equipment Complete Service in Cloud Based Manufacturing

Xiaochun Sheng and Kefeng Wang
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Xiaochun Sheng: Jiangsu University of Technology, School of Computer Engineering, Changzhou, China
Kefeng Wang: Jiangsu University of Technology, School of Computer Engineering, Changzhou, China

International Journal of Intelligent Information Technologies (IJIIT), 2017, vol. 13, issue 4, 56-71

Abstract: The paper studies the cloud manufacturing service platform and mode in the coordination and optimization of large equipment complete service (LECS). A set of theory based system of coordination and optimization is systematically established to support and implement LECS' cloud manufacturing mode. The research results show that the collaborative logic framework proposed is of macro guidance significance; the composite synergy mechanism system designed realizes all-round cooperative target; the collaborative optimization model and algorithm established have validity and practicality through instance verification. It systematically realizes the collaborative management of resource choice and optimizing configuration, the plan and control in the process of service, and so on. It can ensure the stability of manufacturing resource service seamless, green, environmental protection, and high quality. It achieves optimization of the overall system coordination. The study also provides a theoretical basis and scientific method for large equipment enterprise from manufacturer to a service integrator transformation.

Date: 2017
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