| 基于成熟度视角的生产设备数字化管理能力评价研究 |
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| 引用本文： | 李君,窦克勤,周勇,刘劲松.基于成熟度视角的生产设备数字化管理能力评价研究[J].科技管理研究,2023(2):57-64. |
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| 作者姓名： | 李君 窦克勤 周勇 刘劲松 |
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| 作者单位： | 国家工业信息安全发展研究中心,国家工业信息安全发展研究中心,国家工业信息安全发展研究中心,国家工业信息安全发展研究中心 |
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| 基金项目： | 国家重点研发计划资助项目(2021YFB1715300)；国家自然科学基金资助项目(6217071254)；国家重点研发计划NQI专项(2018YFF0213703)。Foundation items：Project supported by the National Key Research and Development Program,China(No. 2021YFB1715300), the National Natural Science Foundation,China(No. 6217071254), and the National Key Research and Development Program,China(No. 2018YFF0213703). |
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| 摘 要： | 目前对生产设备管理能力的评价多数仅聚焦于生产设备管理中的某一个环节或某个特定领域，尚未形成系统全面的评价体系。为科学评价企业生产设备数字化管理能力，帮助企业排查设备管理薄弱环节、明确能力提升路线，基于能力成熟度模型，从包含物理实体、软件系统、数据模型和管理系统的生产设备组成形态及其生命周期两大维度，将生产设备数字化管理能力成熟度划分为初始起步、平稳运行、感知交互、智能优化等4个等级，构建包含资源保障、运行环境、基础管理、运维管理和绩效管理5个一级指标以及细分的21个二级指标的评价指标体系，采用熵值法和云模型实现生产设备数字化管理能力评价。进一步对苏州某汽车配件制造企业应用此方法进行实证量化评价，可知企业在资源保障领域已经达到了智能优化级，运行环境和基础管理领域也达到了感知交互级，并可找出企业面向数字化转型的生产设备管理短板与痛点，评价结果与企业实际情况吻合。
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| 关 键 词： | 生产设备 数字化管理能力 数字化转型 成熟度模型 熵值法 云模型 |
| 收稿时间： | 2022/5/16 0:00:00 |
| 修稿时间： | 2023/2/6 0:00:00 |
Research on digital management capability evaluation of production equipment from the maturity perspective |
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| Abstract: | At present, most of the evaluation of production equipment management capability only focuses on a specific field, and has not yet formed a systematic and comprehensive evaluation system. In order to scientifically evaluate the digital management capability of production equipment, help enterprises to identify the weakness of equipment management, and clarify the route of capability improvement, the digital management capability maturity of production equipment is divided into 4 levels, including initial start, smooth operation, perceptive interaction and intelligent optimization. The evaluation system of five first-level indicators, including resource guarantee, operation environment, basic management, operation and maintenance management and performance management, and 21 sub-level indicators has been constructed. The entropy method and cloud model are used to evaluate the digital management capability of production equipment. Further empirical quantitative evaluation of this method to an auto parts manufacturing enterprise in Suzhou, the results show that the enterprise has reached the intelligent optimization level in the field of resource assurance, and the operational environment and basic management have reached the perceptive interaction level. It can also find out the weaknesses of the production equipment management of the enterprise, and the evaluation results are consistent with the actual situation of the enterprise. |
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| Keywords: | production equipment digital management capability digital transformation maturity model entropy method cloud model |
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