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大数据驱动的绿色智能制造模式及实现技术
王婷1,2, 廖斌1, 杨承诚1
1.贵州大学 管理学院, 贵阳 550025;2.贵州省互联网+协同智能制造重点实验室, 贵阳 550025
摘要:
为实现生产制造过程智能化与绿色制造的有效整合,在运用系统工程理论分析智能制造和绿色制造协同互补性的基础上,提出一种大数据驱动的绿色智能制造新模式。以产品生命周期为主线,从数据驱动的产品绿色定制化研发、基于数字孪生的主动资源配置调度、面向服务的先验维护策略、考虑资源循环的产品回收及再制造流程4个方面阐明了新模式的具体实现思路。最后,结合业务流程再造思想及物元可拓法探讨了传统制造模式向文中所提新模式转型的实施方案与关键技术,并以一个应用案例,验证了该运行模式的可行性与有效性。
关键词:  绿色制造  数据驱动  制造模式  服务框架  实施方案设计
DOI:10.11835/j.issn.1000-582X.2020.01.007
分类号:TP278
基金项目:贵州省哲学社会科学规划联合基金(18GZLH03);贵州省国内一流学科建设项目(GNYL[2017]005);贵州大学文科重大研究项目(GDZT201702)。
Research on big-data-driven green intelligent manufacturing mode and the implementation design
WANG Ting1,2, LIAO Bin1, YANG Chengcheng1
1.School of Management, Guizhou University, Guiyang 550025, P. R. China;2.Key Laboratory of Internet+Collaborative Intelligent Manufacturing in Guizhou Province, Guiyang 550025, P. R. China
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.
Key words:  green manufacturing  data-driven  manufacturing model  service framework  implementation design
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