scholarly journals The Repercussions of the Digital Twin in the Automotive Industry on the New Marketing Logic

2020 ◽  
Vol 4 (1) ◽  
pp. 68
Author(s):  
Florian Blaschke ◽  
Biewendt Marcel ◽  
Böhnert Arno
Keyword(s):  
Automotive Industry ◽  
Industry 4.0 ◽  
Rapid Development ◽  
Global Market ◽  
The Internet ◽  
Virtual Spaces ◽  
Digital Twin ◽  
Digital Twins ◽  
The Impact ◽  
The Internet Of Things

Rapid development of virtual and data acquisition technology makes Digital Twin Technology (DT) one of the fundamental areas of research, while DT is one of the most promissory developments for the achievement of Industry 4.0. 48% percent of organisations implementing the Internet of Things are already using DT or plan to use DT in 2020. The global market for DT is expected to grow by 38 percent annually, reaching USD16 billion by 2023. In addition, the number of participating organisations using digital twins is expected to triple by 2022. DTs are characterised by the integration between physical and virtual spaces. The driving idea for DT is to develop, test and build our devices in a virtual environment. The objective of this paper is to study the impact of DT in the automotive industry on the new marketing logic. This paper outlines the current challenges and possible directions for the future DT in marketing. This paper will be helpful for managers in the industry to use the advantages and potentials of DT.

scholarly journals A Generic Asset Model for Implementing Product Digital Twins in Smart Remanufacturing

2021 ◽  
Author(s):  
Mairi Kerin ◽  
Duc Truong Pham ◽  
Jun Huang ◽  
Jeremy Hadall
Keyword(s):  
Real Time ◽  
Manufacturing Industry ◽  
Integrated System ◽  
Embedded Sensors ◽  
Functional Requirements ◽  
Digital Twin ◽  
Digital Twins ◽  
The Impact ◽  
The Internet Of Things

Abstract A digital twin is a “live” virtual replica of a sensorised component, product, process, human, or system. It accurately copies the entity being modelled by capturing information in real time or near real time from the entity through embedded sensors and the Internet-of-Things. Many applications of digital twins in manufacturing industry have been investigated. This article focuses on the development of product digital twins to reduce the impact of quantity, quality, and demand uncertainties in remanufacturing. Starting from issues specific to remanufacturing, the article derives the functional requirements for a product digital twin for remanufacturing and proposes a UML model of a generic asset to be remanufactured. The model has been demonstrated in a case study which highlights the need to translate existing knowledge and data into an integrated system to realise a product digital twin, capable of supporting remanufacturing process planning.

scholarly journals Future Service in Industry 5.0

2019 ◽  
Vol 2 (1) ◽  
pp. 67-79 ◽  
Author(s):  
Umar Al Faruqi
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Human Life ◽  
Rapid Development ◽  
The Internet ◽  
Fourth Industrial Revolution ◽  
Develop Technology ◽  
The Internet Of Things

With the rapid development of technology in the digitalization era, Industry 4.0 became a terminology that became a reference for research and development in the field of technology in various sectors. This continues to trigger all people to develop technology to enable better utilization in facilitating human life. Society 5.0 is an idea that explains the revolution in people's lives with the development of the fourth industrial revolution. The concept that wants to be presented is how there is a revolution in society that both utilizing technology and also considering humanities aspects. Some sectors of work and needs are beginning to enter digitalization that utilizes Artificial Intelligence, Big Data, Robotics, Automation, Machine Learning, and the Internet of Things.

scholarly journals Processes of innovations implementation into Industry 4.0. automotive industry standards

2020 ◽  
pp. 21-28
Author(s):  
Peter Poór ◽  
Josef Basl
Keyword(s):  
Automotive Industry ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Rapid Development ◽  
Fourth Industrial Revolution ◽  
Industry Standards ◽  
Innovation Cycle ◽  
Reducing Costs ◽  
Implementation Of Innovations ◽  
The Impact

Industry 4.0 is a designation for the automation of production and labour market changes that this will bring. It is based on the boom of digitization, robotization and automation. The Industry 4.0 concept brings the benefits of increasing productivity, reducing costs and making mistakes they result from the involvement of more sophisticated machines in all company processes. The aim of this article is to present the ongoing fourth Industrial revolution (Industry 4.0.) and the impact of innovations in the company. Implementation of innovations are presented, innovation cycle itself and innovations effect on companies. Industry 4.0 makes full use of emerging technologies and rapid development of machines and tools to cope with global challenges in order to improve industry levels. Also, concepts of innovation and digitization are currently a central task for future competitiveness. Therefore, companies are establishing brand new departments focused on innovations in Industry 4.0. Industry 4.0 and digital transformation bring new opportunities in the areas of customer search, improving product offerings, and new opportunities for creating and delivering value, thus opening up new ways to create profit. First part theoretically describes various approaches to this problematic, description of four industrial revolutions and Industry 4.0. itself. Next implementation of innovations is presented, innovation cycle itself and innovations effect on companies. The last part of the article covers innovations in context of Industry 4.0. (both methods and technology) within the automotive industry. Main impact of the work is that this article puts in correlation both importance of the ongoing fourth industrial revolution with innovations in the company. It is very interesting, that these innovations with modern technologies help companies to operate more effectively.

scholarly journals Evaluation of the Difficulties in the Internet of Things (IoT) with Multi-Criteria Decision-Making

Processes ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 164 ◽  
Author(s):  
Buse Uslu ◽  
Tamer Eren ◽  
Şeyda Gür ◽  
Evrencan Özcan
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Rapid Development ◽  
Minimum Cost ◽  
Analytic Network Process ◽  
The Internet ◽  
Multi Criteria Decision Making ◽  
The Internet Of Things

The rapid development of technology has increased the desire of all to be on the Internet. The discovery that objects born of the Internet communicate with each other without external factors revealed, with the fourth industrial revolution, the concept of the Internet of Things (IoT). The communication of objects with each other means minimum labor and minimum cost for enterprises. Enterprises that want to transition to the Internet of Things face many difficulties. Identifying and correcting these difficulties can lead to both lost time and high cost. In this study, we investigated the difficulties encountered in the Internet of Things. As a result of the study, the degree of importance of the factors causing these difficulties was determined by multi-criteria decision-making methods and was presented to the enterprises. The main criteria, and the sub-criteria related to these main criteria, were determined. The main purpose of the enterprises transitioning to Industry 4.0 is the communication of things with each other. In this study, we aimed to determine which criteria caused difficulties in the transition to Industry 4.0. Then, the degree of importance of the criteria was determined using the analytic hierarchy process (AHP) and analytic network process (ANP) methods, in the multi-criteria decision-making. Through the study, we determined which criteria should be taken into consideration by the enterprises that want to transition to the Internet of Things. In this way, enterprises will be able to accelerate that transition by minimizing time and monetary loss.

Digital Twins: Review and Challenges

2021 ◽  
Vol 21 (3) ◽  
Author(s):  
Maria G. Juarez ◽  
Vicente J. Botti ◽  
Adriana S. Giret
Keyword(s):  
Computer Science ◽  
Industry 4.0 ◽  
Multi Agent System ◽  
Agent System ◽  
Digital Twin ◽  
Digital Twins ◽  
Science Approach ◽  
Multi Agent ◽  
Current Operating

Abstract With the arises of Industry 4.0, numerous concepts have emerged; one of the main concepts is the digital twin (DT). DT is being widely used nowadays, however, as there are several uses in the existing literature; the understanding of the concept and its functioning can be diffuse. The main goal of this paper is to provide a review of the existing literature to clarify the concept, operation, and main characteristics of DT, to introduce the most current operating, communication, and usage trends related to this technology, and to present the performance of the synergy between DT and multi-agent system (MAS) technologies through a computer science approach.

How Industry 4.0 Can Benefit From Semantic Web Technologies and Artefacts

2021 ◽  
Vol 13 (4) ◽  
pp. 64-74
Author(s):  
Leila Zemmouchi-Ghomari
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Semantic Web ◽  
Industry 4.0 ◽  
The Internet ◽  
Time Data ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Real Time Data ◽  
The Internet Of Things

Industry 4.0 is a technology-driven manufacturing process that heavily relies on technologies, such as the internet of things (IoT), cloud computing, web services, and big real-time data. Industry 4.0 has significant potential if the challenges currently being faced by introducing these technologies are effectively addressed. Some of these challenges consist of deficiencies in terms of interoperability and standardization. Semantic Web technologies can provide useful solutions for several problems in this new industrial era, such as systems integration and consistency checks of data processing and equipment assemblies and connections. This paper discusses what contribution the Semantic Web can make to Industry 4.0.

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