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工程科学与技术:2022,54(6):1-11
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大规模制造产业网状结构价值链数字生态理论研究构想
(四川大学 电气工程学院,四川 成都 610065)
Research Framework of the Digital Ecological Theory on Network Structured Value Chain in Mass Manufacturing Industry
(College of Electrical Eng., Sichuan Univ., Chengdu 610065, China)
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投稿时间:2022-08-16    修订日期:2022-10-24
中文摘要: 大规模制造产业是新一轮产业变革中涉及数字化、网络化、智能化等新技术最全面的平台与载体,其产业链关联度高、竞争性强且集群式发展特征显著,是先进制造技术和信息技术的代表性产业,所涉及的产业链、供应链、销售链、能源链不断交叉融合,逐渐形成了网状结构多价值链构成的复杂数字生态系统。其中,各个企业形成互生、共生、合作、竞争的重要生态关系,保障数字生态系统具有良好的演进态势是推动大规模制造业健康可持续发展的重要途径,但因数据交互壁垒、信息不对称、价值链孤岛、恶性竞争、价值虚构等原因导致其极具挑战。因此,针对中国大规模制造业网状价值链协同瓶颈问题,本研究通过对网状结构多价值链拓扑组织结构进行分析,解决链内或跨链企业互信协同、多源信息集成、业务流程优化、资源调度整合等问题,开发具备生成/汇聚/存储/管理/分析/使用等功能的数字融合引擎和具备需求分析、业务建模、流程优化、执行管理的协同处理引擎;融合供需流、业务流、技术流、关系流、工作流等数字流量,研究数字生态价值链在价值流动、种群状态、系统进化等方面的演化机理,进一步研究网状结构价值链数字生态理论体系,建立基于生态理论的价值链数字生态模型,克服网状结构下跨链交互中可信保障难、价值管控难、跨链追溯难等关键难题,保障价值链的健壮性与韧性;在此基础上,面向数据的智能服务与网状结构生态价值链应用场景,研究基于区块链的价值链运行技术、基于数据驱动的价值链优化技术,以及基于人工智能的新型服务技术,研发具备数字生态多价值链的大数据处理、分析、挖掘服务平台,实现资源优化、供需优化、协同优化、价值优化、生态优化,进而实现网状结构生态价值链的可信运行、数据优化、纵横协同、智能服务等功能,有效提升生态价值链的产出效能及服务水平与能力。本研究围绕大规模制造产业数字生态模型构建、网状结构价值链协同等国家科技重大需求,开展相关研发与工程示范,旨在为中国大规模制造业健康可持续发展提供可靠的理论与技术支撑,并展望了网状价值链数字生态理论的进一步研究方向。
Abstract:Mass manufacturing industry is a platform and carrier that most comprehensively involves various new technologies such as digitalization, networking and intelligence in the new round of industrial transformation. Due to its characteristics of high industrial chain correlation, strong competitiveness and remarkable cluster development, mass manufacturing industry is a representative industry of advanced manufacturing technology and information technology. The industrial chain, supply chain, sales chain, and energy chain involved in mass manufacturing industry are constantly cross integrated, gradually forming a complex digital ecosystem composed of network structure and multiple value chains. Enterprises in mass manufacturing industry have an important ecological relationship of mutual growth, symbiosis, cooperation and competition. Ensuring the good evolution of digital ecosystem is an important way to promote the healthy and sustainable development of mass manufacturing industry, but it is extremely challenging due to data interaction barriers, information asymmetry, value chain islands, vicious competition and value fiction. Therefore, aiming at the bottlenecks of network structured value chain synergy in mass manufacturing industry, this paper focused on the network topology structure of multiple value chains to solve intra-chain or cross-chain enterprise trust and collaboration, multi-source information integration, business process optimization, resource scheduling integration and other problems. Two engines were developed in this paper: digital fusion engine with the functions of generation, aggregation, storage, management, analysis, and usage; and collaborative processing engine with the functions of requirement analysis, business modeling, process optimization, and execution management. Integrating digital flows such as supply and demand flow, business flow, technology flow, relationship flow and work flow, the evolutionary mechanism of digital ecological value chain in value flow, population status, system evolution and so on was investigated. The digital ecological theory of network structured value chain was studied and the digital ecological model based on ecological value chain was established to overcome the key challenges such as the difficulty of trustworthiness assurance, value management and control, and cross-chain traceability in cross-chain interaction under the mesh structure, thus, the robustness and resilience of the value chain are ensured. On this basis, for the application scenario of data-oriented intelligent service and network structured ecological value chain, the value chain operation technology based on block chain, the value chain optimization technology based on data driven techniques, and the new service technology based on artificial intelligence were studied. The service platforms with big data processing, analysis and mining of digital ecological multi-value chain were developed to achieve resource optimization, supply and demand optimization, collaborative optimization, value optimization and ecological optimization. Furthermore, the credible operation, data optimization, horizontal and horizontal collaboration, intelligent service and other needs of the network structured ecological value chain were realized, so as to effectively improve the output efficiency, service level and capability of the ecological value chain eventually. Aiming at providing reliable theoretical and technical support for the healthy and sustainable development of mass manufacturing industry in China, this work focused on the major national scientific and technological needs of mass manufacturing industry, such as digital ecological model construction and network structured value chain collaboration, and carry out relevant R & D and engineering demonstration. Finally, future research directions of network structured value chain digital ecology theory were prospected.
文章编号:202200862     中图分类号:    文献标志码:
基金项目:国家重点研发计划项目(2021YFB3300800;2021YFB3300801)
作者简介:第一作者:苗强(1976-),男,教授,博士.研究方向:智能装备与可靠性.E-mail:mqiang@scu.edu.cn
引用文本:
苗强,张恒,严幸友.大规模制造产业网状结构价值链数字生态理论研究构想[J].工程科学与技术,2022,54(6):1-11.
MIAO Qiang,ZHANG Heng,YAN Xingyou.Research Framework of the Digital Ecological Theory on Network Structured Value Chain in Mass Manufacturing Industry[J].Advanced Engineering Sciences,2022,54(6):1-11.