The Experiences of a Global Electrical Manufacturing Enterprise: The Journey to Become Industry 4.0 Ready

2020 ◽  
pp. XX8-XX8
Author(s):  
David B Durocher ◽  
Lyle Sprinkle
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Enterprise

scholarly journals Trustworthy data-driven networked production for customer-centric plants

2017 ◽  
Vol 117 (10) ◽  
pp. 2305-2324 ◽  
Author(s):  
Davy Preuveneers ◽  
Wouter Joosen ◽  
Elisabeth Ilie-Zudor
Keyword(s):  
Cyber Security ◽  
Industry 4.0 ◽  
Business Processes ◽  
Trust Model ◽  
Cloud Services ◽  
Performance Study ◽  
Manufacturing Enterprise ◽  
Content Type ◽  
Manufacturing Enterprises ◽  
Security Challenges

Purpose Industry 4.0 envisions a future of networked production where interconnected machines and business processes running in the cloud will communicate with one another to optimize production and enable more efficient and sustainable individualized/mass manufacturing. However, the openness and process transparency of networked production in hyperconnected manufacturing enterprises pose severe cyber-security threats and information security challenges that need to be dealt with. The paper aims to discuss these issues. Design/methodology/approach This paper presents a distributed trust model and middleware for collaborative and decentralized access control to guarantee data transparency, integrity, authenticity and authorization of dataflow-oriented Industry 4.0 processes. Findings The results of a performance study indicate that private blockchains are capable of securing IoT-enabled dataflow-oriented networked production processes across the trust boundaries of the Industry 4.0 manufacturing enterprise. Originality/value This paper contributes a decentralized identity and relationship management for users, sensors, actuators, gateways and cloud services to support processes that cross the trust boundaries of the manufacturing enterprise, while offering protection against malicious adversaries gaining unauthorized access to systems, services and information.

scholarly journals Risk Control of Manufacturing Enterprise Short-term Financial Investment Based on COSO-ERM and Industry 4.0

CONVERTER ◽  
2021 ◽  
pp. 388-397
Author(s):  
Lian He, Xiaoxin Chen
Keyword(s):  
Risk Management ◽  
Industry 4.0 ◽  
Probability Method ◽  
Short Term ◽  
Manufacturing Enterprise ◽  
Probability Curve ◽  
Strategic Objectives ◽  
Financial Investment ◽  
Risk Probability ◽  
And Control

In this paper, firstly, the risk management and control process of related enterprises after COSO-ERM framework is introduced and the risk assessment and control methods of related investment strategies are introduced emphatically by studying the short-term financial investment business of manufacturing enterprises.Then, the risk probability method for measuring the risk size and the possibility of achieving the expected goals is introduced. Next, the differences between the risk curve and the risk probability curve are further compared. Finally, in Industry 4.0, it is concluded that the introduction of COSO-ERM framework into manufacturing enterprise risk management will not only help to grasp the implementation of enterprise strategic objectives through effective internal control, but also help to effectively assess the risks of strategic objectives and the possibility of achieving strategic objectives.

scholarly journals Is the Maturity Model applicable in Vietnam?

2020 ◽  
Vol 16 (9) ◽  
pp. 11
Author(s):  
Vu Thi Tuyet Mai ◽  
Nguyen Thi Phuong Thu
Keyword(s):  
Embedded Systems ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Production Model ◽  
Maturity Model ◽  
Manufacturing Enterprise ◽  
Maturity Models ◽  
Specific Data ◽  
Manufacturing Enterprises ◽  
Industrial Enterprises

Manufacturing enterprises are currently facing many challenges of industrial revolution 4.0 when beginning to change the production model, working with embedded systems which can collect and transmit specific data. The application of maturity models to the Industry 4.0 may help organizations to address the challenges regarding the concept of Industry 4.0 and the diversification methodology. This research is going to examine the application of a maturity model for assessing Industry 4.0 created by Schumacher et al. (2016). The Maturity model of Schumacher et al. (2016) was built to assess the maturity and to infiltrate of the enterprises manufacturing into the Industry 4.0. The purpose of this paper is examining the applicable of using the Maturity model in evaluating the maturity of industrial enterprises in Vietnam toward industry 4.0. The issues will be addressed in this paper: i) The nature of Industry 4.0 and challenges for the manufacturing enterprises; ii) The Maturity model for manufacturing enterprises towards Industry 4.0; iii) The process of applying Maturity model in assessing the manufacturing enterprise towards Industry 4.0; iv) Some initial recommendations for Vietnamese manufacturing enterprises and v) Conclusion.

Marktkopplung und Ablaufdeterminismus

2017 ◽  
Vol 47 (187) ◽  
pp. 213-228
Author(s):  
Gaus Jobst ◽  
Knop Christopher ◽  
Wandjo David
Keyword(s):  
Industry 4.0 ◽  
Ongoing Debate ◽  
Centralized Planning

Through the ongoing debate different positions support the hypothesis that Industry 4.0 evokes decentralization in everyday works. In this article we argue that the technological premises of Industry 4.0 lead to the contrary: centralized planning ensuing from optimized adaptation to the imperatives of the market. We exemplify this pattern, that we named ‘determinated procedure’, through exemplary cases from different industrial branches. Furthermore, we argue that (indeed) existing decentral moments neither amount to structural decentralization nor to humanizing and empowering concessions to employees, but rather primarily serve to their integration into the enterprise and mobilization of their production intelligence.

THE SERVITIZATION IN INDUSTRY 4.0, FACING CHALLENGES AND TENDENCIES

2018 ◽  
Vol 9 (3) ◽  
pp. 1-19 ◽  
Author(s):  
Silva Leandro Monteiro ◽  
◽  
Viagi Arcione Ferreira ◽  
Giacaglia Giorgio Eugenio Oscare ◽  
◽  
...  
Keyword(s):  
Industry 4.0
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