Impacts and investigations of disruptive technologies for Industry 4.0

2022 ◽  
Vol 174 ◽  
pp. 121232
Author(s):  
Victor Chang ◽  
Gary Wills ◽  
Patricia Baudier
Keyword(s):  
Industry 4.0 ◽  
Disruptive Technologies

Re-designing the business organization using disruptive innovations based on blockchain-IoT integrated architecture for improving agility in future Industry 4.0

2021 ◽  
Vol 28 (5) ◽  
pp. 1883-1908 ◽  
Author(s):  
Santosh B. Rane ◽  
Yahya Abdul Majid Narvel
Keyword(s):  
Internet Of Things ◽  
Industry 4.0 ◽  
Design Methodology ◽  
Oil And Gas ◽  
Business Organization ◽  
Content Type ◽  
Disruptive Technologies ◽  
Blockchain Technology ◽  
Disruptive Innovations ◽  
Integrated Architecture

Purpose Blockchain and Internet of Things (IoT) technologies have recently gained much attention for Industry 4.0. With the emergence of disruptive technologies, it has become essential to redesign the business for innovations based on blockchain–IoT integrated architecture that helps organizations to improve agility in their operations. The paper aims to discuss this issue. Design/methodology/approach An industrial pump was Sensorized and IoTized to monitor its operations on real time and take predictive measures for managing these assets with more agility. The developed architecture was further extended for proposing the use of blockchain and how it can benefit the organization. Findings The known features of blockchain such as increasing the capacity of decentralization, trust-less transactions, security and allowing autonomous coordination of the devices along with the boons of IoT will help achieve the motto of improving agility in Industry 4.0. Originality/value This paper gives a new dimension to utilization of blockchain technology. blockchain along with IoT that gives a way forward for industries like manufacturing, oil and gas, engineering and construction, utilities, etc. to re-designing the business organization in a more agile way.

scholarly journals Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art

2020 ◽  
Vol 2020 ◽  
pp. 1-45 ◽  
Author(s):  
Ocident Bongomin ◽  
Aregawi Yemane ◽  
Brendah Kembabazi ◽  
Clement Malanda ◽  
Mwewa Chikonkolo Mwape ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Industrial Sector ◽  
Disruptive Technology ◽  
Logistics Industry ◽  
Disruptive Technologies ◽  
Industrial Sectors ◽  
Agriculture Industry ◽  
Education Industry ◽  
Technology Convergence

Very well into the dawn of the fourth industrial revolution (industry 4.0), humankind can hardly distinguish between what is artificial and what is natural (e.g., man-made virus and natural virus). Thus, the level of discombobulation among people, companies, or countries is indeed unprecedented. The fact that industry 4.0 is explosively disrupting or retrofitting each and every industrial sector makes industry 4.0 the famous buzzword amongst researchers today. However, the insight of industry 4.0 disruption into the industrial sectors remains ill-defined in both academic and nonacademic literature. The present study aimed at identifying industry 4.0 neologisms, understanding the industry 4.0 disruption and illustrating the disruptive technology convergence in the major industrial sectors. A total of 99 neologisms of industry 4.0 were identified. Industry 4.0 disruption in the education industry (education 4.0), energy industry (energy 4.0), agriculture industry (agriculture 4.0), healthcare industry (healthcare 4.0), and logistics industry (logistics 4.0) was described. The convergence of 12 disruptive technologies including 3D printing, artificial intelligence, augmented reality, big data, blockchain, cloud computing, drones, Internet of Things, nanotechnology, robotics, simulation, and synthetic biology in agriculture, healthcare, and logistics industries was illustrated. The study divulged the need for extensive research to expand the application areas of the disruptive technologies in the industrial sectors.

scholarly journals Exponential Disruptive Technologies and the Required Skills of Industry 4.0: A Review

2019 ◽  
Author(s):  
Ocident Bongomin ◽  
Gilbert Gilibrays Ocen ◽  
Eric Oyondi Nganyi ◽  
Alex Musinguzi ◽  
Timothy Omara
Keyword(s):  
Industry 4.0 ◽  
Autonomous Robots ◽  
Way Of Life ◽  
New Paradigm ◽  
Industrial Manufacturing ◽  
Disruptive Technologies ◽  
Key Technologies ◽  
Main Driver ◽  
Virtual And Augmented Reality ◽  
Personal Skills

The 21st century has witnessed a number of incredible changes ranging from the way of life and the technologies that emerged. Currently, we have entered a new paradigm shift called industry 4.0 where science fictions have become science facts, and technology fusion is the main driver. Therefore, ensuring that any advancement in technology reach and benefit all is the ideal opportunity for everyone. In this paper, disruptive technologies of industry 4.0 have been explored and quantified in terms of the number of their appearances in literature. This research mainly aimed at identifying industry 4.0 key technologies which have been ill-defined by previous researchers and to enlighten the required skills of industry 4.0. Comprehensive literature survey covering the field of engineering, production, and management from both academia and business was done from publication databases: Google scholar, ScienceDirect, Scopus, Sage, Taylor & Francis and Emerald insight. The results of the study show that 35 disruptive technologies were quantified and 13 key technologies: Internet of things, Big data, 3D printing, Cloud computing, Autonomous robots, Virtual and augmented reality, Cyber physical system, Artificial intelligence, Smart sensors, Simulation, Nanotechnology, Drones and Biotechnology were identified. Moreover, both technical and personal skills to be imparted into the human workforce for industry 4.0 were identified. The study reveals the need to investigate the capabilities and the readiness of some developing countries in adapting industry 4.0 in terms of the changes in the education systems and industrial manufacturing settings. In addition, the study proposes the need to address the ways for integration of industry 4.0 concepts into the current education system.

scholarly journals A Beginner’s Guide to Developing Review-Based Conceptual Frameworks in the Built Environment

Architecture ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 5-24 ◽  
Author(s):  
Fahim Ullah
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Built Environment ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Smart Cities ◽  
Conceptual Frameworks ◽  
High Quality ◽  
Disruptive Technologies ◽  
Literature Reviews

With the boom of industry 4.0 technologies and their adoption in the built environment (BE), conceptual frameworks (CFs) are increasingly developed to facilitate the adoption. It is becoming increasingly important to develop a standard or guide for new BE research entrants and aspirants who want to conduct a systematic literature review and develop such CFs. However, they struggle to find a standard and reproducible procedure to conduct systematic literature reviews and develop CFs successfully. Accordingly, the current study based on requests and inspirations from nascent BE researchers presents guidelines about conducting such studies. A simplistic yet reproducible methodology is presented that can be followed by BE research aspirants to produce high-quality and well-organized review articles and develop a CF. Using an example of big data-based disaster management in smart cities, the current study provides a practical example of conducting a systematic literature review and developing a CF. It is expected that this research will serve as a baseline for conducting systematic studies in the BE field that other fields of science can adopt. Further, it is expected that this study will motivate the nascent BE researchers to conduct systematic reviews and develop associated CFs with confidence. This will pave the way for adopting disruptive technologies and innovative tools in the BE in line with industry 4.0 requirements.

scholarly journals Diseño de un Modelo Predictivo en el Contexto Industria 4.0

2018 ◽  
Vol 3 (1) ◽  
pp. 543
Author(s):  
Inés Sittón Candanedo ◽  
Sarah Rodríguez González ◽  
Lilia Muñoz
Keyword(s):  
Internet Of Things ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Transformation Process ◽  
Disruptive Technologies ◽  
Bayes Algorithm ◽  
Using Data ◽  
Maintenance Model ◽  
The Internet Of Things

The Internet of Things (IoT), the development and installation of advanced sensors for data collection, computer solutions for remote connection and other disruptive technologies are marking a transformation process in the industry; giving rise to what various sectors have called the fourth industrial revolution or Industry 4.0. With this process of change, organizations face both new opportunities and challenges. This article focuses on the modeling and integration of industrial data, generated by sensors installed in machines. The extraction of patterns is proposed, using data fusion techniques that allow the design of a predictive maintenance model. Finally, a case study is presented with a database that is applied to the Naive Bayes Algorithm to obtain predictions.Keywords: Industry 4.0, Sensors, Internet of Things, Pattern Extraction, Omnibus Models. 

scholarly journals Towards a Framework for Assessing the Maturity of Manufacturing Companies in Industry 4.0 Adoption

2018 ◽  
pp. 224-254 ◽  
Author(s):  
Luca Scremin ◽  
Fabiano Armellini ◽  
Alessandro Brun ◽  
Laurence Solar-Pelletier ◽  
Catherine Beaudry
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Production Systems ◽  
Case Analysis ◽  
Transformation Process ◽  
Manufacturing Companies ◽  
Assessment Framework ◽  
Disruptive Technologies ◽  
Fourth Industrial Revolution ◽  
Face Complex

The recent introduction of new disruptive technologies aimed at monitoring, controlling, optimizing, and automating production systems is shifting the manufacturing landscape towards a fourth industrial revolution. In this new industrial paradigm, manufacturing companies face complex challenges requiring the development of new organizational and technological capabilities. With this context in mind, this chapter is intended to provide a maturity assessment framework to understand the transformation process in manufacturing companies transitioning to Industry 4.0. The proposed framework is applied to 10 in-depth industrial case studies in Canada and Italy, two countries with increasing awareness of the Industry 4.0 revolution. A comparative case analysis revealed four different standards, or archetypes, for Industry 4.0 adoption, which are discussed and analyzed, highlighting a relationship between a company's manufacturing configuration and its path towards Industry 4.0 adoption.

Economic and Social Challenges of Disruptive Technologies in Conditions of Industries 4.0 and 5.0: the EU Experience

2020 ◽  
pp. 32-42
Author(s):  
Leonid Hr. Melnyk ◽  
Iryna B. Dehtyarova ◽  
Oleksandr V. Kubatko ◽  
Mykola O. Kharchenko
Keyword(s):  
Sustainable Development ◽  
Industry 4.0 ◽  
Social Impact ◽  
Mobile Internet ◽  
Research Progress ◽  
Disruptive Technology ◽  
Vacuum Equipment ◽  
Social Challenges ◽  
Disruptive Technologies ◽  
The Eu

The paper analyses the economic and social challenges of disruptive technologies in conditions of Industry 4.0 and Industry 5.0. The paper overviews research progress on Industry 4.0 and 5.0 and their influence on sustainable development. The research explains disruptive technologies trends for sustainable development. The paper examines the development process of “disruptive technologies”, which are numerous: telephone (replaced the telegraph), steamboats (replaced the sailing vessels), semiconductors (replaced the vacuum equipment), e-mail (instead of traditional mail), etc. The paper analyzes basic disruptive technologies for creating the Internet of Things. The paper shows potential economic characteristics of disruptive technologies for the nearest five-year perspective. It investigates the EU experience on the realization of Industries 4.0 and 5.0. The paper highlights the trends that positively impact business growth up to 2022 according to the EU Future of Jobs Report: increasing adoption of new technology and big data; advances in mobile internet; advances in artificial intelligence and cloud technology; shifts in national economic growth; expansion of education; advances in new energy supplies and technologies. The research demonstrates how disruptive technologies will accelerate by 2025 and how both positive and negative impacts on business will grow up. The article tackles the issues of the potential economic and social impact of disruptive technologies in the nearest future. It distinguishes possible consequences of the implementation of key disruptive technologies of our time: for example excessive psychological impact; the risk of creative potential reduction; increasing information dependence; reduced the privacy of personal life; risks of uncontrolled reduction of information security (for example, due to hackers); increased information vulnerability of civilization; risk of loss of human control over cyber systems, etc. Key words: economic challenges, social challenges, Industry 4.0, Industry 5.0, disruptive technology.

scholarly journals Exponential Disruptive Technologies and the Required Skills of Industry 4.0

2020 ◽  
Vol 2020 ◽  
pp. 1-17 ◽  
Author(s):  
Ocident Bongomin ◽  
Gilbert Gilibrays Ocen ◽  
Eric Oyondi Nganyi ◽  
Alex Musinguzi ◽  
Timothy Omara
Keyword(s):  
Industry 4.0 ◽  
Autonomous Robots ◽  
Way Of Life ◽  
Electronic Survey ◽  
Industrial Manufacturing ◽  
Disruptive Technologies ◽  
Key Technologies ◽  
Main Driver ◽  
Virtual And Augmented Reality ◽  
Personal Skills

The 21st century has witnessed precipitous changes spanning from the way of life to the technologies that emerged. We have entered a nascent paradigm shift (industry 4.0) where science fictions have become science facts, and technology fusion is the main driver. Thus, ensuring that any advancement in technology reach and benefit all is the ideal opportunity for everyone. In this study, disruptive technologies of industry 4.0 were explored and quantified in terms of the number of their appearances in published literature. The study aimed at identifying industry 4.0 key technologies which have been ill-defined by previous researchers and to enumerate the required skills of industry 4.0. Comprehensive literature survey covering the field of engineering, production, and management was done in multidisciplinary databases: Google Scholar, Science Direct, Scopus, Sage, Taylor & Francis, and Emerald Insight. From the electronic survey, 35 disruptive technologies were quantified and 13 key technologies: Internet of Things, Big Data, 3D printing, Cloud computing, Autonomous robots, Virtual and Augmented reality, Cyber-physical system, Artificial intelligence, Smart sensors, Simulation, Nanotechnology, Drones, and Biotechnology were identified. Both technical and personal skills to be imparted into the human workforce for industry 4.0 were reported. The review identified the need to investigate the capability and the readiness of developing countries in adapting industry 4.0 in terms of the changes in the education systems and industrial manufacturing settings. This study proposes the need to address the integration of industry 4.0 concepts into the current education system.

scholarly journals Automation Pyramid as Constructor for a Complete Digital Twin, Case Study: A Didactic Manufacturing System

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4656
Author(s):  
Edwin Mauricio Martinez ◽  
Pedro Ponce ◽  
Israel Macias ◽  
Arturo Molina
Keyword(s):  
Industry 4.0 ◽  
Manufacturing System ◽  
Industrial Process ◽  
Operating Conditions ◽  
Shop Floor ◽  
Virtual Model ◽  
Digital Twin ◽  
Disruptive Technologies ◽  
Pyramid Model

Nowadays, the concept of Industry 4.0 aims to improve factories’ competitiveness. Usually, manufacturing production is guided by standards to segment and distribute its processes and implementations. However, industry 4.0 requires innovative proposals for disruptive technologies that engage the entire production process in factories, not just a partial improvement. One of these disruptive technologies is the Digital Twin (DT). This advanced virtual model runs in real-time and can predict, detect, and classify normal and abnormal operating conditions in factory processes. The Automation Pyramid (AP) is a conceptual element that enables the efficient distribution and connection of different actuators in enterprises, from the shop floor to the decision-making levels. When a DT is deployed into a manufacturing system, generally, the DT focuses on the low-level that is named field level, which includes the physical devices such as controllers, sensors, and so on. Thus, the partial automation based on the DT is accomplished, and the information between all manufacturing stages could be decremented. Hence, to achieve a complete improvement of the manufacturing system, all the automation pyramid levels must be included in the DT concept. An artificial intelligent management system could create an interconnection between them that can manage the information. As a result, this paper proposed a complete DT structure covering all automation pyramid stages using Artificial Intelligence (AI) to model each stage of the AP based on the Digital Twin concept. This work proposes a virtual model for each level of the traditional AP and the interactions among them to flow and control information efficiently. Therefore, the proposed model is a valuable tool in improving all levels of an industrial process. In addition, It is presented a case study where the DT concept for modular workstations underpins the development of technologies within the framework of the Automation Pyramid model is implemented into a didactic manufacturing system.

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