Research on big-data-driven green intelligent manufacturing mode and the implementation design
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    Abstract:

    In order to realize the effective integration of manufacturing process intelligence and green manufacturing, based on the analysis of intelligent manufacturing and green manufacturing synergy complementarity by system engineering theory, a new mode of green intelligent manufacturing driven by big data is proposed. With the product life cycle as the main line, the specific implementation of the new mode is expounded from the aspects of data-driven product green customized research and development, digital resource-based active resource allocation scheduling, service-oriented prior maintenance strategy, product recycling and remanufacturing process considering resource recycling. Finally, combined with the ideas of the business process reengineering and the matter-element extension method, the implementation plan and key technologies concerning the transition from traditional manufacturing mode to the new mode proposed in this paper are discussed. The feasibility and effectiveness of the operation mode are verified by an application case.

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王婷,廖斌,杨承诚.大数据驱动的绿色智能制造模式及实现技术[J].重庆大学学报,2020,43(1):64~73

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  • Received:May 17,2019
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  • Online: January 15,2020
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