智能制造赋能下白酒产业供应链协同创新的影响因素研究OA
Study on the influencing factors of supply chain collaborative innovation in Baijiu industry empowered by intelligent manufacturing
为深入探索智能制造对白酒产业供应链协同创新的赋能机理,该研究运用德尔菲法筛选并构建了白酒产业供应链协同创新影响因素体系,在此基础上,结合决策试验与评价实验法(DEMATEL)-解释结构模型(ISM)的组合方法,对各因素间的因果关系与层级结构进行了系统性解析.研究发现,采用德尔菲法构建了包含11项关键因素的影响体系,各影响因素形成了由深层到表层的四级递阶结构:"智能制造技术应用水平"与"信息化基础设施建设"被识别为根本性的原因因素;其影响力通过中心度最高的关键枢纽因素"信息共享机制"进行传导,并最终作用于"风险管理能力"等表层的结果因素.该研究不仅清晰揭示了智能制造赋能白酒产业协同创新的内在逻辑与传导路径,据此提出的"由下而上、分层优化"策略,可为白酒产业提升协同效率提供理论依据与实践指导.
To deeply explore the empowerment mechanism of intelligent manufacturing on supply chain collaborative innovation in Baijiu industry,an influencing factor system for supply chain collaborative innovation in Baijiu industry was selected and constructed using the Delphi method.On this basis,the causal relationship and hierarchical structure among various factors were systematically analyzed combined with the combined method of decision experiment and evaluation experiment(DEMATEL)-explanatory structure model(ISM).The research found that the influencing system con-taining 11 key factors was constructed by Delphi method,each influencing factor formed a 4-level hierarchical structure from deep to surface:"the ap-plication level of intelligent manufacturing technology"and"the construction of information infrastructure"were identified as the fundamental cause factors,its influence was transmitted through the most central key hub factor"information sharing mechanism",and ultimately manifestd in superfi-cial outcome factors such as"risk management capability".This study not only clearly revealed the internal logic and transmission path of intelligent manufacturing empowering collaborative innovation in Baijiu industry,but also proposed a"bottom-up,layered optimization"strategy,providing a theoretical basis and practical guidance for enhancing collaborative efficiency in Baijiu industry.
刘玥冰;朱会霞
辽宁工业大学经济管理学院,辽宁 锦州 121001辽宁工业大学经济管理学院,辽宁 锦州 121001
轻工纺织
智能制造供应链协同白酒产业决策试验与评价实验法-解释结构模型
intelligent manufacturingsupply chain collaborationBaijiu industrydecision experiment and evaluation experiment-explanatory struc-ture model
《中国酿造》 2026 (2)
324-328,5
国家社会科学基金(22BGL202)2024年辽宁省教育厅高等学校基本科研项目(LJ112410154055)资助
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