装备制造企业数智技术功能与服务类型匹配机制

    Matching Mechanism between Digital-Intelligent Technology Functions and Service Types in Equipment Manufacturing Enterprises

    • 摘要: 针对装备制造企业数智化与服务化齐头并进过程中存在两化目标各异、关联松散的现实问题,本文以数智技术功能与服务类型的有效匹配能助推两化融合为视角,以实现两者之间的最优适配和数智赋能服务类型实现价值创造最大化为目标,构建了装备制造企业数智技术功能−服务类型的多目标匹配模型,给出了模型的求解方法,并通过实例验证了研究理论与方法的可行性与有效性。研究结果表明,数智技术功能与服务类型匹配是装备制造企业数智化与服务化融合的关键;双边匹配模型能够解决数智技术功能与服务类型的有效匹配;数智技术功能−服务类型有效匹配的结果是以数智赋能服务化的方式呈现。与已有研究相比,引入双边匹配理论能够消除制造企业数智化与服务化深度融合过程可能产生的冲突,为装备制造企业实现两化融合发展提供了可操作的理论模型与决策依据。

       

      Abstract: To address the practical issues of distinct objectives and loose correlation between digital-intelligent transformation and servitization in equipment manufacturing enterprises during their parallel advancement, an effective matching model between digital-intelligent technology functions and service types for such enterprises is constructed from the perspective that the effective matching of these two elements can promote the integration of the two transformations. The model aims to achieve optimal adaptation between them and maximize value creation through digital-intelligent enabled service types, with corresponding solution methods provided. Finally, the feasibility and effectiveness of the proposed theoretical framework and methods are verified through a case study. Research results indicate that the matching between digital-intelligent technology functions and service types is a key factor for the integration of digital-intelligent transformation and servitization in equipment manufacturing enterprises; the two-sided matching model can realize the effective matching of digital-intelligent technology functions and service types; and the outcome of such effective matching is presented in the form of digital-intelligent enabled servitization. Compared with existing studies, the two-sided matching theory is introduced, the role of matching effectiveness in promoting the integration of digital-intelligent transformation and servitization is clarified, and an operable theoretical model and decision-making basis are provided for equipment manufacturing enterprises to achieve in-depth integration and development of the two transformations.

       

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