Digital Innovation Risk Management Model of Discrete Manufacturing Enterprise Based on Big Data Analysis

At present, most risk management work mainly relies on manpower, and manpower relies on the professional knowledge of relevant skilled workers to discover hidden safety risks in production activities. This article combines relevant big data theories and 4V characteristics to analyze and investigate safety production and big data, study data structure, data source, and data type. Using 5W1H scientific big data and applications, this analysis method analyzes the theoretical basis, applications, and beneficiaries of big data related to safety production, some of which are application links and important theoretical issues. Secondly, it studies the security risk management model based on big data, proposes a risk management model based on big data, the technical basis of big data, and the idea of a three-dimensional model, and applies the systematic space method, which is reflected in three aspects of risk management. In the end, a risk identification model based on big data, a risk assessment classification model, and a risk early warning and pre-control model are defined. KEywoRDS Big Data Analysis, Digital Innovation, Discrete Manufacturing, Risk Management

[1]  Kalle Lyytinen,et al.  Research Commentary - The New Organizing Logic of Digital Innovation: An Agenda for Information Systems Research , 2010, Inf. Syst. Res..

[2]  Meiqing Wang,et al.  The Method for Risk Evaluation in Assembly Process based on the Discrete-Time SIRS Epidemic Model and Information Entropy , 2019, Entropy.

[3]  Sara F. Jahanmir,et al.  Factors affecting late adoption of digital innovations , 2018 .

[4]  Harm-Jan Steenhuis,et al.  Successful publishing in the journal of manufacturing technology management: a download-based analysis for determining impact , 2019, Journal of Manufacturing Technology Management.

[5]  Jan vom Brocke,et al.  The role of users and customers in digital innovation: Insights from B2B manufacturing firms , 2016, Inf. Manag..

[6]  K.-Y. Chen,et al.  Development of collaborative transportation management framework with Web Services for TFT–LCD supply chains , 2010, Int. J. Comput. Integr. Manuf..

[7]  R. G. Fichman,et al.  Digital Innovation as a Fundamental and Powerful Concept in the Information Systems Curriculum , 2014, MIS Q..

[8]  Kalle Lyytinen,et al.  Organizing for Innovation in the Digitized World , 2012, Organ. Sci..

[9]  Вячеслав Мирошников,et al.  QUALITY MANAGEMENT IN DESIGN-TECHNOLOGICAL PREPARATION OF ENGINEERING PRODUCE MANUFACTURING BASED ON COMPLEX FMEA-ANALYSIS , 2016 .

[10]  Dekun Liu,et al.  The framework design of smart factory in discrete manufacturing industry based on cyber-physical system , 2020, Int. J. Comput. Integr. Manuf..

[11]  Jae-Chul Kim,et al.  Model-Based Functional Safety Analysis of Manufacturing Processes for Weapon Systems , 2019 .

[12]  O. A. Sawy,et al.  Digital business strategy: toward a next generation of insights , 2013 .

[13]  Kalle Lyytinen,et al.  Digital Innovation Management: Reinventing Innovation Management Research in a Digital World , 2017, MIS Q..

[14]  Chen Xin-chun,et al.  Study on Discrete Manufacturing Quality Control Technology Based on Big Data and Pattern Recognition , 2021, Mathematical Problems in Engineering.