ABSTRACT
With the vigorous development of industrial manufacturing and the increasing competition in the global market, the manufacturing industry has gradually shown multi-dimensional characteristics such as diversification of manufacturing resources, customization of customer needs, complexity of production systems, and dynamic management decision-making. The global manufacturing industry has entered a high-level and all-round competition stage. However, regarding the collaborative optimization allocation of manufacturing resources under the Industrial Internet, with the continuous enrichment of smart manufacturing terminals and manufacturing scenarios, traditional research is mostly based on static data and passive stylized response methods, paying less attention to the data resource perception, multi-party dynamic collaboration and foresight. Therefore, a technical architecture for collaborative optimization of manufacturing resources for the industrial Internet is systematically proposed. By dividing logical levels and supporting technologies from the bottom up, the research on active sensing and optimization collaboration of manufacturing resources will be extended from the algorithm level to the system level, and the technical barriers between upper and lower levels will be eliminated. This provides a comprehensive and systematic enabling technical support for the decision-making optimization of top-level intelligent applications and services, ensuring that optimization strategies, multi-source intelligent equipment and other production elements and all levels can be interconnected and cooperate to truly unleash the effectiveness of collaborative algorithms.
- Sisinni E, Saifullah. A, Han S, Industrial internet of things: Challenges, opportunities, and directions[J]. IEEE transactions on industrial informatics, 2018, 14(11): 4724-4734.Google Scholar
- Zhang Y, Tao F. Optimization of manufacturing systems using the Internet of Things[M]. Academic Press, 2016.Google ScholarDigital Library
- Zhang G, Chen C H, Zheng P, An integrated framework for active discovery and optimal allocation of smart manufacturing services[J]. Journal of Cleaner Production, 2020, 273: 123144.Google ScholarCross Ref
- Zhang Y, Zhang G, Wang J, Real-time information capturing and integration framework of the internet of manufacturing things[J]. International Journal of Computer Integrated Manufacturing, 2015, 28(8): 811-822.Google ScholarDigital Library
- Tian S, Wang T, Zhang L, The Internet of Things enabled manufacturing enterprise information system design and shop floor dynamic scheduling optimisation[J]. Enterprise Information Systems, 2020, 14(9-10): 1238-1263.Google ScholarCross Ref
- Zhong R Y, Xu C, Chen C, Big data analytics for physical internet-based intelligent manufacturing shop floors[J]. International journal of production research, 2017, 55(9): 2610-2621.Google ScholarCross Ref
- Tao F, Qi Q, Liu A, Data-driven smart manufacturing[J]. Journal of Manufacturing Systems, 2018, 48: 157-169.Google ScholarCross Ref
- Zhang Y, Zhang G, Liu Y, Research on services encapsulation and virtualization access model of machine for cloud manufacturing[J]. Journal of Intelligent Manufacturing, 2017, 28(5): 1109-1123.Google ScholarDigital Library
Index Terms
- Research on enabling technology architecture for collaborative optimization of manufacturing resources
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