scholarly journals Challenges of Modeling and Evaluating the Semantics of Technical Content Deployed in Recommendation Systems for Industry 4.0

2019 ◽  
Author(s):  
Jos Lehmann ◽  
Michael Shamiyeh ◽  
Sven Ziemer
Keyword(s):  
Industry 4.0 ◽  
Recommendation Systems ◽  
Technical Content

scholarly journals Model Proposal for Diagnosis and Integration of Industry 4.0 Concepts in Production Engineering Courses

2020 ◽  
Vol 12 (8) ◽  
pp. 3471
Author(s):  
Rodrigo Gris de Souza ◽  
Osvaldo Luiz Gonçalves Quelhas
Keyword(s):  
Higher Education ◽  
Virtual Reality ◽  
Big Data ◽  
Student Performance ◽  
Industry 4.0 ◽  
Higher Education Institutions ◽  
Production Engineering ◽  
Technical Content ◽  
New Knowledge ◽  
Current Production

In Industry 4.0, people need to be able to handle the vast amount of information from machines. In this sense, for Industry 4.0, higher education institutions play a fundamental role. The methodology of this article sought to identify the knowledge required by Industry 4.0 in the literature; carry out a diagnosis of the courses currently offered by Brazilian universities and the need to incorporate new knowledge, and validate the model in a real application. The survey is classified as exploratory, bibliographic and qualitative, supported by bibliometric research. As a result of the research, we identified that the technical content of courses needs to be reviewed to meet Industry 4.0 demand. Sixty-three per cent of respondents were production engineering course coordinators; 70% of respondents considered that the disciplines of current production engineering courses were not adequate to enable the production engineer to work in Industry 4.0. The priority knowledge for implementation in the curricula was identified as big data, advanced simulation, statistics for large amounts of information and virtual reality. It was also considered necessary to bring the industry closer to the universities. The model developed was applied and validated in a university that was evaluated with the highest score in the National Student Performance Exam (Enade).

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

Industry 4.0. The main development directions of digitalization in refinery

2020 ◽  
Vol 01 ◽  
pp. 6-14
Author(s):  
V. M. Kapustin ◽  
◽  
R. V. Khakimov ◽  
Keyword(s):  
Industry 4.0 ◽  
Main Development

THE CONCEPT OF AUTONOMOUS SYSTEMS IN INDUSTRY 4.0

2019 ◽  
Vol 12 (1) ◽  
pp. 77-87
Author(s):  
György Kovács ◽  
Rabab Benotsmane ◽  
László Dudás
Keyword(s):  
Industry 4.0 ◽  
Intelligent Systems ◽  
Autonomous Systems ◽  
Essential Element ◽  
Industrial Sector ◽  
Life Cycles ◽  
Multi Agent Systems ◽  
New Paradigm ◽  
Intelligent Machines ◽  
Digital Network

Recent tendencies – such as the life-cycles of products are shorter while consumers require more complex and more unique final products – poses many challenges to the production. The industrial sector is going through a paradigm shift. The traditional centrally controlled production processes will be replaced by decentralized control, which is built on the self-regulating ability of intelligent machines, products and workpieces that communicate with each other continuously. This new paradigm known as Industry 4.0. This conception is the introduction of digital network-linked intelligent systems, in which machines and products will communicate to one another in order to establish smart factories in which self-regulating production will be established. In this article, at first the essence, main goals and basic elements of Industry 4.0 conception is described. After it the autonomous systems are introduced which are based on multi agent systems. These systems include the collaborating robots via artificial intelligence which is an essential element of Industry 4.0.

Refinery production scheduling toward Industry 4.0

2018 ◽  
Vol 0 (0) ◽  
pp. 0 ◽  
Author(s):  
Marcel JOLY ◽  
Darci ODLOAK ◽  
MarioY. MIYAKE ◽  
Brenno C. MENEZES ◽  
Jeffrey D. KELLY
Keyword(s):  
Production Scheduling ◽  
Industry 4.0 ◽  
Refinery Production
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