scholarly journals Industry 4.0: contributions of holonic manufacturing control architectures and future challenges

Author(s):  
William Derigent ◽  
Olivier Cardin ◽  
Damien Trentesaux
2021 ◽  
Vol 13 (11) ◽  
pp. 5768
Author(s):  
Hugo A López ◽  
Pedro Ponce ◽  
Arturo Molina ◽  
María Soledad Ramírez-Montoya ◽  
Edgar Lopez-Caudana

Nowadays, engineering students have to improve specific competencies to tackle the challenges of 21st-century-industry, referred to as Industry 4.0. Hence, this article describes the integration and implementation of Education 4.0 strategies with the new educational model of our university to respond to the needs of Industry 4.0 and society. The TEC21 Educational Model implemented at Tecnologico de Monterrey in Mexico aims to develop disciplinary and transversal competencies for creative and strategic problem-solving of present and future challenges. Education 4.0, as opposed to traditional education, seeks to provide solutions to these challenges through innovative pedagogies supported by emerging technologies. This article presents a case study of a Capstone project developed with undergraduate engineering students. The proposed structure integrates the TEC21 model and Education 4.0 through new strategies and laboratories, all linked to industry. The results of a multidisciplinary project focused on an electric vehicle racing team are presented, composed of Education 4.0 elements and competencies development in leadership, innovation, and entrepreneurship. The project was a collaboration between academia and the productive sector. The results verified the students’ success in acquiring the necessary competencies and skills to become technological leaders in today’s modern industry. One of the main contributions shown is a suitable education framework for bringing together the characteristics established by Education 4.0 and achieved by our educational experience based on Education 4.0.


2006 ◽  
Vol 39 (3) ◽  
pp. 405-410
Author(s):  
Gert Zülch ◽  
Patricia Stock

2019 ◽  
Vol 2 (1) ◽  
pp. 23-34
Author(s):  
Mohammad Ali Farsi ◽  
Enrico Zio

According to the development of Industry 4.0 and increase the integration of digital, physical and human worlds, reliability engineering must evolve for addressing the existing and future challenges about that. In this paper, the principle of Industry 4.0 is presented and some of these challenges and opportunities for reliability engineering are discussed. New directions for research in system modeling, big data analysis, health management, cyber-physical system, human-machine interaction, uncertainty, jointly optimization, communication, and interfaces are proposed. Each topic can be investigated individually, but this paper summarizes them and prepared a vision about reliability engineering for consideration and discussion by the interested scientific community.


Author(s):  
Sandeep Mathur ◽  
Samaira Mendiratta

Industry 4.0 is a key activity as of late presented by the German government. The objective of the activity is a change of mechanical fabricating through digitization and misuse of possibilities of new advancements. An Industry 4.0 generation framework is in this way adaptable and empowers individualized and modified items. The point of this chapter is to introduce and encourage a comprehension of Industry 4.0 ideas, its drivers, empowering influences, objectives, impediments. Building squares are depicted and a keen industrial facility idea is displayed. An architecture model and job of institutionalization in the future execution of Industry 4.0 idea are addressed. Also, sure contextual investigations of organizations, for example, Bosche and Siemens case studies, have been mentioned. These case studies emphasize on practical implementation of Industry 4.0 and future challenges to deal with successful adoption of Industry 4.0. The current status of Industry 4.0 availability in the German organizations is introduced and remarked.


1998 ◽  
Vol 31 (31) ◽  
pp. 55-60
Author(s):  
Paul Valckenaers ◽  
Hendrik Van Brossel ◽  
Luc Bongaerts ◽  
Jo Wyns ◽  
Patrick Peelers

1998 ◽  
Vol 31 (15) ◽  
pp. 523-528 ◽  
Author(s):  
Paul Valckenaers ◽  
Hendrik Van Brussel ◽  
Luc Bongaerts ◽  
J.O. Wyns ◽  
Patrick Peeters

Author(s):  
Gilberto Marzano ◽  
Luis Ochoa Siguencia

Industry 4.0 is a term first introduced by the German government during the Hannover Messe fair in 2011 when it launched an initiative to support German industry in tackling future challenges. It refers to the 4th industrial revolution in which disruptive digital technologies, such as the Internet of Things (IoT), Internet of Everything (IoE), robotics, virtual reality (VR), and artificial intelligence (AI), are impacting industrial production.The new industrial paradigms of Industry 4.0 demand a socio-technical evolution of the human role in production systems, in which all working activities of the value chain will be performed with smart approaches.However, the automation of processes can have unpredictable effects.Nowadays, in a smart factory, the role of human operators is often only to control and supervise the automated processes. This new condition of workers brought forth a paradox: malfunctions or irregularities in the automated production process are rare but challenging.This article discusses the challenges and risks that the 4th industrial revolution is bringing to society.It introduces the concept of the Irony of Automation. This propounds that the more reliable an automated system, the less human operators have to do and, consequently, the less attention they pay to the system while it is operating.The authors go on to discuss the human-centered approach to automation, whose purpose is not necessarily to automate previously manual functions but, rather, to enhance user effectiveness and reduce errors. 


Author(s):  
Erwin Rauch ◽  
Dominik T. Matt

AbstractIn this chapter, we explore after 10 years of Industry 4.0 the status of the application in manufacturing companies and especially in small- and medium-sized enterprises (SMEs). Based on literature and previously conducted research we present guidelines and a modular framework for implementing smart manufacturing in SMEs. In addition, a stage model is illustrated to support SMEs in breaking down the framework from a design level to an implementation and operational level. Finally, an outlook is given on the future challenges that SMEs will face in the coming years when they want to reach the next level of Industry 4.0 in their own company.


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