CHALLENGES IN THE IMPLEMENTATION OF INDUSTRY 4.0

International Journal of Supply Chain Management, 2019

Industry 4.0 is the fourth industrial revolution that was first introduced in Germany which then becomes a trend of future manufacturing industries. The Industry 4.0 also referred as the umbrella concept for new industrial paradigm which consists of a number of future industry characteristics, were related to cyber-physical systems (CPS), internet of things (IoT), internet of services (IoS), robotics, big data, cloud manufacturing and augmented reality. By adopting these technologies as the key development in more intelligent manufacturing processes including devices, machines, modules, and products, the process of information exchange, action and control will stimulate each other, subsequently to an intelligent manufacturing environment. However, in order to fully utilize the advantages of industry 4.0, there are some challenges that need to be overcome. This paper reviews the challenges in implementing Industry 4.0. The literatures found in this paper mainly from Google Scholar, S...

Annual Reviews in Control

Management and Production Engineering Review

With the increasing demand of customisation and high-quality products, it is necessary for the industries to digitize the processes. Introduction of computers and Internet of things (IoT) devices, the processes are getting evolved and real time monitoring is got easier. With better monitoring of the processes, accurate results are being produced and accurate losses are being identified which in turn helps increasing the productivity. This introduction of computers and interaction as machines and computers is the latest industrial revolution known as Industry 4.0, where the organisation has the total control over the entire value chain of the life cycle of products. But it still remains a mere idea but an achievable one where IoT, big data, smart manufacturing and cloud-based manufacturing plays an important role. The difference between 3rd industrial revolution and 4th industrial revolution is that, Industry 4.0 also integrates human in the manufacturing process. The paper discusses about the different ways to implement the concept and the tools to be used to do the same.

2021

Industry 4.0 has risen as an integrated digital manufacturing environment, and it has created a novel research perspective that has thrust research to interdisciplinarity and exploitation of ICT advances. This work presents and discusses the main aspects of Industry 4.0 and how intelligence can be embedded in manufacturing to create the smart factory. It briefly describes the main components of Industry 4.0, and it focuses on the security challenges that the fully interconnected ecosystem of Industry 4.0 has to meet and the threats for each component. Preserving security has a crucial role in Industry 4.0, and it is vital for its existence, so the main research directions on how to ensure the confidentiality and integrity of the information shared among the Industry 4.0 components are presented. Another view is in light of the security issues that come as a result of enabling new technologies.

CIET 2018, 2018

The drive to develop towards Industry 4.0 requires appropriate infrastructure and upgraded educational programmes in order to harness the full potential of its smart products, services and job opportunities in the future. Existing manufacturing infrastructure include the following: planning and technical development segments; materials and procurement process; production and manufacturing; and finally, warehousing and logistics. The latter should be transformed from the traditional labor-machine-intensive setup to one that is a completely digital. Arguably, higher education and training institutions would also need to prepare students in the highly digital skills and knowledge needed for Industry 4.0. operations. Progressively, there should be a moving towards a socio-technical-digital ecosystem in which physical virtual dimensions are increasingly intertwined for providing smart services. This emerging ecosystem should have more interactions between people, machines, and digital technologies to better serve the needs of society in generating several benefits for both the local and global economies. Industry 4.0 is interlinked with technologies such as Industrial Internet of Things; Data Sciences; Cloud Computing; Internet of Things; Smart Manufacturing, Advanced Robotics and Artificial Intelligence; 3D Printing, Virtual and Augmented Reality and Data analytics. The shelf-life of modern technologies is changing rapidly to more innovative and efficient ones for embracing the unleashing of Industry 4.0 and its future smart products and services. Operations will depend on direct data obtained from the planning process and necessary resources for optimizing facilities to function online with an inbuilt autonomous maintenance. A critical and interesting challenge is also to study how such tools are used and inserted into the organization and its main functions. In this paper, we present emerging trends of Industry 4.0. and their significance to businesses and education and training institutions in responding to the need for offering smart products and services as well qualified professionals to outfit the jobs created in this highly digital industry.

Research Expression is an interdisciplinary biannual and bilingual research journal published by Government VYT Post Graduate Autonomous College , 2023

Technology has changed the face of the industrial and manufacturing world. This is the age of the fourth industrial revolution, commonly known as Industry 4.0. It means the introduction of automation and data exchange in manufacturing technologies like Cyber-Physical Systems, Internet of Things, big data and analytics, augmented reality, additive manufacturing, simulation, horizontal and vertical system integration, autonomous robots as well as cloud computing. It links between man and machine by integrating and combining artificial intelligence in machines. The main aims of Industry 4.0 to initiate transformation in industrial manufacturing through digitalization and exploitation of the potentials of new technologies. In essence, Industry 4.0 is related to the creation of creates "smart factory". Amazon, Uber, Facebook, "smart factories" and 3D printing, are among modern pioneers of the new industrial revolution. But with a great opportunity, comes great challenges. The aim of this paper is to present and facilitate an understanding of Industry 4.0 concepts, its drivers, enablers, goals, and limitations.

Hungarian Geographical Bulletin, 2020

River Publishers eBooks, 2022

IntechOpen Limited - London, 2023

Industry 4.0 involves a high level of digitization, which has been increasing the efficiency and flexibility of various manufacturing and non-manufacturing industries in civil, environmental, mechanical, electrical, petroleum, and medical engineering. The world is changing quickly and the Internet and digitalization are the driving forces of today’s trade. In addition, new technologies deliver human-like accuracy and reliability in highly complex tasks. Nowadays, computer-based technologies such as the Internet of Things (IoT), artificial intelligence (AI), machine learning, deep learning, big data, and data mining approaches along with their applications are ubiquitous in automation, intelligence, and sustainability. DigiTech platforms facilitate intelligent tasks and diagnostics in the research and analysis of industries and organizations in predictive policing. This book presents the key technological developments in Industry 4.0 and explores the potential benefits of using real-world applications. As a roadmap for decision-makers, it covers several evolutionary advances in Industry 4.0. I hope that readers will find this book useful, and I warmly welcome comments, suggestions, and criticisms.

Journal of Intelligent Manufacturing, 2018

Manufacturing industry profoundly impact economic and societal progress. As being a commonly accepted term for research centers and universities, the Industry 4.0 initiative has received a splendid attention of the business and research community. Although the idea is not new and was on the agenda of academic research in many years with different perceptions, the term "Industry 4.0" is just launched and well accepted to some extend not only in academic life but also in the industrial society as well. While academic research focuses on understanding and defining the concept and trying to develop related systems, business models and respective methodologies, industry, on the other hand, focuses its attention on the change of industrial machine suits and intelligent products as well as potential customers on this progress. It is therefore important for the companies to primarily understand the features and content of the Industry 4.0 for potential transformation from machine dominant manufacturing to digital manufacturing. In order to achieve a successful transformation, they should clearly review their positions and respective potentials against basic requirements set forward for Industry 4.0 standard. This will allow them to generate a well-defined road map. There has been several approaches and discussions going on along this line, a several road maps are already proposed. Some of those are reviewed in this paper. However, the literature clearly indicates the lack of respective assessment methodologies. Since the implementation and applications of related theorems and definitions outlined for the 4th industrial revolution is not mature enough for most of the reel life implementations, a systematic approach for making respective assessments and evaluations seems to be urgently required for those who are intending to speed this transformation up. It is now main responsibility of the research community to developed technological infrastructure with physical systems, management models, business models as well as some well-defined Industry 4.0 scenarios in order to make the life for the practitioners easy. It is estimated by the experts that the Industry 4.0 and related progress along this line will have an enormous effect on social life. As outlined in the introduction, some social transformation is also expected. It is assumed that the robots will be more dominant in manufacturing, implanted technologies, cooperating and coordinating machines, self-decision-making systems, autonom problem solvers, learning machines, 3D printing etc. will dominate the production process. Wearable internet, big data analysis, sensor based life, smart city implementations or similar applications will be the main concern of the community. This social transformation will naturally trigger the manufacturing society to improve their manufacturing suits to cope with the customer requirements and sustain competitive advantage. A summary of the potential progress along this line is reviewed in introduction of the paper. It is so obvious that the future manufacturing systems will have a different vision composed of products, intelligence, communications and information network. This will bring about new business models to be dominant in industrial life. Another important issue to take into account is that the time span of this so-called revolution will be so short triggering a continues transformation process to yield some new industrial areas to emerge. This clearly puts a big pressure on manufacturers to learn, understand, design and implement the transformation process. Since the main motivation for finding the best way to follow this transformation, a comprehensive literature review will generate a remarkable support. This paper presents such a review for highlighting the progress and aims to help improve the awareness on the best experiences. It is intended to provide a clear idea for those wishing to generate a road map for digitizing the respective manufacturing suits. By presenting this review it is also intended to provide a hands-on library of Industry 4.0 to both academics as well as industrial practitioners. The top 100 headings, abstracts and key words (i.e. a total of 619 publications of any kind) for each search term were independently analyzed in order to ensure the reliability of the review process.