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

2022 ◽  
Vol 30 (7) ◽  
pp. 0-0

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.

Author(s):  
Cunbin Li ◽  
Ding Liu ◽  
Yi Wang ◽  
Chunyan Liang

AbstractAdvanced grid technology represented by smart grid and energy internet is the core feature of the next-generation power grid. The next-generation power grid will be a large-scale cyber-physical system (CPS), which will have a higher level of risk management due to its flexibility in sensing and control. This paper explains the methods and results of a study on grid CPS’s behavior after risk. Firstly, a behavior model based on hybrid automata is built to simulate grid CPS’s risk decisions. Then, a GCPS risk transfer model based on cooperative game theory is built. The model allows decisions to ignore complex network structures. On this basis, a modified applicant-proposing algorithm to achieve risk optimum is proposed. The risk management model proposed in this paper can provide references for power generation and transmission decision after risk as well as risk aversion, an empirical study in north China verifies its validity.


2019 ◽  
Vol 4 (1) ◽  
pp. 46-67
Author(s):  
Diah Novianti

Islamic banking such as the other business institution will face different kind of risk that inherent on its main business activity. In business, risk defined as a posibillity an can appear every time, before, when, and after the decision making. Islamic banking faced different risk with the conventional banking, because its uniquenes. Thus, the development of risk management framework in Islamic banking is very important to do, especially in frame of  risk identification, measuring, mitigation and monitoring. This paper will discuss about risk management in Islamic Banking, in theoretically and the implementation of risk management. The scope of this study will include the identification of risk in Islamic Banking, stage of risk management in Islamic Banking, risk management model, and also the devolpment of risk management framework in Islamic Banking.


2018 ◽  
pp. 1299-1317
Author(s):  
Neila Rjaibi ◽  
Latifa Ben Arfa Rabai

This chapter presents the security concepts terminologies (threat, risk, security risk management, security risk management process, security threat model) and present the state of the art of security risk management models, compare and discuss strengths and weaknesses of such models. Then it presents the Mean Failure Cost (MFC) model for quantifying security threats as a rigorous measure of cyber security, and as a cascade of linear models in order to estimate the system security using the loss of a given stakeholders as a result of security breakdown. Finally it presents an overview of the applicability of the MFC measure to e-systems. In the conclusion, the chapter criticizes the MFC Cyber Security Measure and presents an overview of different perspectives.


2020 ◽  
Vol 8 (1) ◽  
pp. 72-79
Author(s):  
Nemanja Jovanov ◽  
Nikola Glođović ◽  
Goran Jovanov

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