Kommunikation und Datenaustausch in Industrie 4.0*/Communication and data exchange in Industry 4.0 - Requirements and capabilities of propagated communication protocols

2015 ◽  
Vol 105 (03) ◽  
pp. 84-89
Author(s):  
H. Fleischmann ◽  
P. Gölzer ◽  
J. Franke ◽  
M. Amberg

Die umfassende Vernetzung intelligenter Produkte und Produktionssysteme in Industrie 4.0 erlaubt eine dezentral agierende Produktion sowie die Fähigkeit zur Selbststeuerung und Selbstoptimierung. Die Standardisierung von Kommunikation und Datenaustausch nimmt an dieser Stelle eine entscheidende Rolle ein und ermöglicht die system- und wertschöpfungsübergreifende Interaktion von Entitäten. Im Fachbeitrag werden formalisierte Anforderungen von Industrie 4.0 und Fähigkeiten propagierter Kommunikationsprotokolle gegenübergestellt.   Comprehensive networks of intelligent products and production systems in Industry 4.0 enable an autonomous and decentralized manufacturing organization and the capability for self-control and self-optimization. Standardized communication and data exchange is the key to establish the interaction of entities and systems along the entire value chain. This paper analyses requirements of Industry 4.0 and discusses the capabilities of propagated communication protocols.

2015 ◽  
Vol 105 (04) ◽  
pp. 190-194
Author(s):  
J. C. Aurich ◽  
C. Steimer ◽  
H. Meissner ◽  
N. Menck

Im Rahmen von Industrie 4.0 ergeben sich durch cybertronische Produktionssysteme (CTPS) neue Möglichkeiten in der Produktion. Dieser Fachbeitrag thematisiert die Fragestellung, wie sich neue Charakteristika zukünftiger CTPS auf deren Planung auswirken und welchen Einfluss Industrie 4.0 auf den Fabrikplanungsprozess ausübt.   In the context of Industry 4.0 (Integrated Industry), cybertronic production systems (CTPS) provide new opportunities on the shop floor. This article addresses how new characteristics of future CTPS affect the planning of these systems and how Industry 4.0 impacts factory planning.


2017 ◽  
Vol 261 ◽  
pp. 432-439 ◽  
Author(s):  
Numan M. Durakbasa ◽  
Jorge Bauer ◽  
Günther Poszvek

Intelligence is an essential feature of future development and production systems, and intelligent production is a major component of future business. To meet market demands in present and future global industrial world, manufacturing enterprises of any kind and any size must be flexible and agile enough to respond quickly to product demand changes also according technological developments especially in the field of precision engineering at micro/nanoand pico scale production. With support of AI and modern IT it is possible to realise modern cost-effective customer-driven design and manufacturing taking into account the importance and basic role of modern Integrated Management Systems - IMS and intelligent advanced metrology.This new concept can be developed on the basis of intelligent production technologies and integrated systems as well as extensive use of the IT, AI, simulation, quality autonomation, robotics, advanced metrology and advanced engineering data exchange techniques. Moreover by utilizing advanced information analytics, networked intelligent machines and instruments will be able to perform more efficiently, collaboratively and sustainably, that makes possible an agile and optimal industrial production in any kind of industry and especially in up-to-date SMEs towards Industry 4.0.


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. 


2016 ◽  
Vol 106 (10) ◽  
pp. 699-704
Author(s):  
H. Fleischmann ◽  
J. Kohl ◽  
A. Blank ◽  
M. Schacht ◽  
J. Fuchs ◽  
...  

Industrie 4.0-Technologie verspricht Unterstützung bei der Erfüllung komplexer Produktionsaufgaben. Bisher verhindern jedoch historisch gewachsene, industrielle Kommunikationsnetze durch die oft wenig semantische, strikte Kommunikation entlang der bestehenden Ebenen der Automatisierungspyramide eine effiziente Umsetzung der Prinzipien von „Smart Factories“. Diese Veröffentlichung thematisiert die Entwicklung semantischer Kommunikationsschnittstellen am Beispiel des Karosseriebaus der Audi AG.   Industry 4.0 technology promises to support the fulfillment of complex production tasks. Even today, historically grown industrial communication networks prevent an efficient implementation of smart factory principles, especially due to a lack of semantics and the strict communication along the existing layers of the automation pyramid. This publication focuses on the development of semantic communication interfaces using the example of the digitalization of the vehicle body construction at the Audi AG.


2021 ◽  
pp. 097226292199682
Author(s):  
Ritika Gupta

Digitalization and intelligization is the need of the hour in today’s world. The manufacturing industry is, in fact, moving towards the fourth-generation industry, which we termed as Industry 4.0 or the Fourth Industrial revolution, which is defined as a new level of organization and control over the entire value chain of the life cycle of products; it is geared towards increasingly individualized customer requirements. Industry 4.0 is all about talking in terms of big data, technology, cyber security, the Internet of Things (IoT) and so on. This study is done to understand the new emerging technology in data exchange and automation, popularly known as Industry 4.0, in terms of banking sector with context to the Indian banking sector. The study focuses on studying banks in a digitalized word and what are the challenges that banks face. How banks cope up with digitalization, keeping customers at priority. This study centred on incorporating articles published in recent years to establish knowledge on the topic and to further identify areas for future research.


2019 ◽  
Vol 9 (14) ◽  
pp. 2934 ◽  
Author(s):  
Jon Kepa Gerrikagoitia ◽  
Gorka Unamuno ◽  
Elena Urkia ◽  
Ainhoa Serna

The fourth industrial revolution is characterized by the introduction of the Internet of things (IoT) and Internet of Services (IoS) concepts into manufacturing, which enables smart factories with vertically and horizontally integrated production systems. The main driver is technology, as Industry 4.0 is a collective term for technologies and concepts of value chain organization. Digital manufacturing platforms play an increasing role in dealing with competitive pressures and incorporating new technologies, applications, and services. Motivated by the difficulties to understand and adopt Industry 4.0 and the momentum that the topic has currently, this paper reviews the concepts and approaches related to digital manufacturing platforms from different perspectives: IoT platforms, digital manufacturing platforms, digital platforms as ecosystems, digital platforms from research and development perspective, and digital platform from industrial equipment suppliers.


2020 ◽  
Vol 110 (04) ◽  
pp. 177-183
Author(s):  
Elena-Clara Neumann ◽  
Simon Schumacher ◽  
Dennis Bauer ◽  
Torben Lucht ◽  
Thomas Bauernhansl ◽  
...  

Industrie 4.0 ist geprägt von autonomen Produktionssystemen. Das Erreichen von Autonomie stellt viele Industrieunternehmen vor große Herausforderungen. Handlungsleitende Unterstützung bei der Einführung von Autonomie ist ein essenzieller Erfolgsfaktor. Das hier vorgestellte Reifegradmodell bietet Unternehmen die Möglichkeit, den aktuellen Entwicklungsstand, die individuelle Zielsetzung und den entsprechenden evolutionären Weg dahin zu identifizieren.   The vision of industry 4.0 is characterized by autonomous production systems. Achieving this autonomy is a major challenge for many industrial companies. Supporting the implementation of autonomy is an essential success factor. The maturity model presented in this article offers an opportunity for companies to identify the current state of development, their individual objectives and the corresponding evolutionary path for implementation.


2017 ◽  
Vol 107 (04) ◽  
pp. 261-265
Author(s):  
M. Clauß ◽  
N. Göhlert ◽  
M. Bojko ◽  
E. Prof. Müller

Für die mittelständisch geprägte Textilbranche ist eine am Kosten-Nutzen-Verhältnis orientierte Investitionstätigkeit im Zuge der Transformation zur Industrie 4.0 unverzichtbar. Der Fachbeitrag beschreibt zunächst Charakteristika der textilen Wertschöpfungskette im Bereich der Weberei und zeigt in diesem Kontext die zunehmende Bedeutung der operativen Planung auf. Ergebnis sind konkrete nutzenorientierte Ansätze für Investitionen in den Bereichen Digitalisierung sowie Automatisierung.   It is vital for the medium-sized characterized textile industry to focus investment activity on the cost-benefit ratio when transforming for Industry 4.0. This article works out the characteristics of the textile value chain concerning weaving and how planning quality at the operational level affects concrete examples. On this basis, concrete proposals for investments in digitization and automation are deduced and their value benefits highlighted.


Author(s):  
Shams A. Laghari ◽  
◽  
Selvakumar Manickam ◽  
Shankar Karuppayah

Industry 4.0 has imminently emerged as the fourth industrial revolution. It garners emphasis primarily on the interaction between factory equipment and machines involved in entire value-chain activities for boosting efficiency and production with limited human intervention. The M2M communication protocols have gained significant prominence amidst sage minds in recent years, particularly in the manufacturing industries. Several M2M communication protocols have been developed for the industry, such as SECS/GEM, OPC UA, DDS, and MQTT. Among these protocols, SECS/GEM is a semiconductor’s equipment interface protocol for equipment-to-host data communications. It is not a modern, but decades-long protocol, and has been again brought to the fore by Industry 4.0. Thereupon, it was imperative to review amenability of SECS/GEM protocol in the context of adaptation of features depicted by industry 4.0, and limelight plethora of shortcomings and limitations. In this paper, comparisons of prominent features and limitations of the aforementioned M2M communication protocols in general and review of the SECS/GEM protocol in particular, have been made. Findings include deficiencies in security, point to point communication, discovery mechanism, fixed message format, interoperability, extendibility, and manual integration.


2019 ◽  
Vol 109 (07-08) ◽  
pp. 527-530
Author(s):  
R. Ungern-Sternberg ◽  
C. Leipoldt ◽  
K. Erlach

Technologieorientierte Ansätze bei der Konzeption von digitalisierten Produktionssystemen können zu Inkohärenzen und geringerer Effektivität des Gesamtsystems führen. Durch den hier vorgestellten zielorientierten und reifegradbasierten Ansatz wird eine Systembetrachtung ermöglicht. Das Resultat ist ein unternehmensindividuelles, abgestimmtes Konzept zur Integration von Industrie 4.0-Lösungen in ein bestehendes schlankes Produktionssystem.   Technology oriented approaches for digitalized production systems could cause incoherencies and a limited effectivity of the overall system. The presented goal-oriented approach based on a maturity model enables an overall system evaluation. Result is a company-specific, harmonized concept to integrate Industry 4.0 solutions in an existing lean production system.


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