不同类型服装企业智能制造能力成熟度评价模型

为了实现不同类型服装企业规范化的智能制造建设,基于多维度网络层次分析法(ANP)采用5个一级指标、12个二级指标和35个三级评价指标要素,构建服装实现过程的智能化建设能力成熟度评价模型。通过专家问卷确定模型评价指标的权重关系,借助超级决策软件Super Decision实现ANP评价指标的建模。对新构建的能力成熟度评价模型与通用模型进行基于不同类型服装企业智能化建设能力成熟度的对比验证实验,结果表明新构建的评价模型能充分地体现服装行业智能制造发展现状,能准确地反映企业智能制造整体发展水平和单项指标建设情况,并帮助企业弥补应用技术的短板。

Evaluation modelling for maturity in intelligent manufacturing for multi-type clothing factories

In order to regulate the intelligent manufacturing for factories making different types of clothing, 5 first-level indicators, 12 second-level indicators and 35 third-level evaluation indexing elements were used to construct the maturity evaluation model for intelligent manufacturing capacity, based on the multi-dimensional Analytic Network Process (ANP). Expert questionnaire was used to determine the weight relationship of the evaluation model indicators, and the ANP evaluation indicator modeling was carried out with the help of the Super Decision software. The newly constructed capability maturity evaluation model and the general model were compared and verified on the maturity of intelligent construction capabilities of different types of clothing enterprises. The results show that the newly constructed evaluation model can fully reflect the current status of the development of intelligent manufacturing in the clothing industry and can accurately reflects the overall development level of the enterprise's intelligent manufacturing with the construction of individual indicators. It can also help the enterprise to develop the application technology.