An enterprise intelligent transformation maturity evaluation method

Abstract

The invention provides an enterprise intelligent transformation maturity evaluation method. The method starts from two dimensions, namely a system level and a product full life cycle, and the ten elements, namely design, manufacturing, testing, logistics and service of the life cycle dimension and equipment, units / production lines, workshops, factories and collaborations of the system level dimension are used as first-level indexes of evaluation indexes respectively. On the basis, the first-level indexes are refined respectively, and 23 second-level indexes, such as product design, process design, planning and scheduling, production and operation, intelligent equipment and intelligent production lines, etc., are summarized. By comprehensively evaluating the enterprise by utilizing the primary index and the secondary index, and measuring the digitalization, networking, intellectualization and cloudification levels of each level and each service link of the enterprise, the overall levelof the enterprise intellectualization transformation is obtained.

Description

technical field [0001] The invention relates to the field of intelligent manufacturing, in particular to a method for evaluating maturity of intelligent transformation of an enterprise. Background technique [0002] At present, Germany and the United States have basically completed the process of Industry 3.0. During the industrial development process of the two stages of Industry 2.0 and Industry 3.0 for more than 100 years, developed countries such as Germany and the United States have accumulated inherent advantages. China's manufacturing industry is still in the coexistence of mechanization, electrification, automation, and informatization. The development of different regions, industries, and enterprises is unbalanced. A large number of Industry 2.0, Industry 2.5, and a small amount of Industry 3.0 coexist. In view of this, a cloud platform-based intelligent transformation maturity evaluation model is proposed. Using this model can help enterprises recognize their own d...

AI Technical Summary

Problems solved by technology

The disadvantage of this model is that in the trial evaluation stage, the evaluation questionnaire setting is relatively simple, and only one question is set up for each third-level indicator, so the data collection is inevitably not comprehensive enough, and the consideration of many detailed issues is also lacking.

The shortcoming of this model is that the manufacturing dimension only includes the core business process of the enterprise, and does not mention management processes and support processes such as standard and system management, financial management, and change management, and the evaluation of the maturity of enterprise operations is not comprehensive enough.

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