scholarly journals Systematic analysis of needs and requirements for the design of smart manufacturing systems in SMEs☆

2020 ◽  
Vol 7 (2) ◽  
pp. 129-144 ◽  
Author(s):  
Erwin Rauch ◽  
Andrew R Vickery
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Industrial Revolution ◽  
Smart Manufacturing ◽  
Functional Requirements ◽  
Systematic Analysis ◽  
Fourth Industrial Revolution ◽  
Increasing Trend ◽  
Scientific Approach ◽  
Smart Manufacturing Systems

Abstract With the increasing trend of the Fourth Industrial Revolution, also known as Industry 4.0 or smart manufacturing, many companies are now facing the challenge of implementing Industry 4.0 methods and technologies. This is a challenge especially for small and medium-sized enterprises, as they have neither sufficient human nor financial resources to deal with the topic sufficiently. However, since small and medium-sized enterprises form the backbone of the economy, it is particularly important to support these companies in the introduction of Industry 4.0 and to develop appropriate tools. This work is intended to fill this gap and to enhance research on Industry 4.0 for small and medium-sized enterprises by presenting an exploratory study that has been used to systematically analyze and evaluate the needs and translate them into a final list of (functional) requirements and constraints using axiomatic design as scientific approach.

Analysis of Challenges Responsible for the Slow Pace of Industry 4.0 Diffusion

2021 ◽  
pp. 1737-1766
Author(s):  
Chetna Chauhan ◽  
Amol Singh
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Smart Manufacturing ◽  
Relative Importance ◽  
Fuzzy Analytical Hierarchy Process ◽  
Delphi Approach ◽  
Fuzzy Delphi ◽  
Privacy Risks ◽  
Smart Manufacturing Systems ◽  
Hierarchy Process

The pace of Industry 4.0 adoption in manufacturing industries has been slow as it is accompanied by several barriers, specifically in the emerging economies. The current study intends to identify and understand the landscape of these challenges. Further, this paper prioritizes the challenges on the basis of their relative importance. To achieve this objective, the authors combine the fuzzy delphi approach along with the fuzzy analytical hierarchy process. Additionally, a sensitivity analysis is done to enhance robustness of the findings. The global rankings of the challenges reveal that the most significant factors that hamper the full realization of smart manufacturing include cybersecurity, privacy risks, and enormously high number of technology choices available in the market. The analysis offers insights into the reasons for the slow diffusion of smart manufacturing systems and the results would assist managers, policymakers, and technology providers in the advent of manufacturing digitalization.

scholarly journals The Potential of Additive Manufacturing in the Smart Factory Industrial 4.0: A Review

2019 ◽  
Vol 9 (18) ◽  
pp. 3865 ◽  
Author(s):  
Mehrshad Mehrpouya ◽  
Amir Dehghanghadikolaei ◽  
Behzad Fotovvati ◽  
Alireza Vosooghnia ◽  
Sattar S. Emamian ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Industry 4.0 ◽  
Information Technologies ◽  
Manufacturing Systems ◽  
High Efficiency ◽  
Industrial Applications ◽  
Future Trend ◽  
Smart Manufacturing ◽  
The Future ◽  
Smart Manufacturing Systems

Additive manufacturing (AM) or three-dimensional (3D) printing has introduced a novel production method in design, manufacturing, and distribution to end-users. This technology has provided great freedom in design for creating complex components, highly customizable products, and efficient waste minimization. The last industrial revolution, namely industry 4.0, employs the integration of smart manufacturing systems and developed information technologies. Accordingly, AM plays a principal role in industry 4.0 thanks to numerous benefits, such as time and material saving, rapid prototyping, high efficiency, and decentralized production methods. This review paper is to organize a comprehensive study on AM technology and present the latest achievements and industrial applications. Besides that, this paper investigates the sustainability dimensions of the AM process and the added values in economic, social, and environment sections. Finally, the paper concludes by pointing out the future trend of AM in technology, applications, and materials aspects that have the potential to come up with new ideas for the future of AM explorations.

The Application of the Positive Semi-Definite Kernel Space for SVM in Quality Prediction

2020 ◽  
Vol 13 (2) ◽  
pp. 228-233
Author(s):  
Wang Meng ◽  
Dui Hongyan ◽  
Zhou Shiyuan ◽  
Dong Zhankui ◽  
Wu Zige
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Industrial Revolution ◽  
Feature Space ◽  
Mixed Data ◽  
Smart Manufacturing ◽  
Additive Constant ◽  
Kernel Space ◽  
Data Set ◽  
Low Dimensional

Background: A transformation toward 4th Generation Industrial Revolution (Industry 4.0) is being led by Germany based on Cyber-Physical System-enabled manufacturing and service innovation. Smart manufacturing is an important feature of Industry 4.0 which uses the networked manufacturing systems for smart production. Current manufacturing systems (5M1E systems) require deeper mining of the data which is generated from manufacturing process. Objective: To map low-dimensional embedding into the input space would meet the requirement of “kernel trick” to solve a problem in feature space. On the other hand, the distance can be calculated more precisely. Methods: In this research, we proposed a positive semi-definite kernel space by using a constant additive method based on a kernel view of ISOMAP. There were 6 steps in the algorithm. Results: The classification precision of KMLSVM was better than SVM in the enterprise data set, in which SVM selected the RBF kernel and optimized its parameters. Conclusion: We adopted the additive constant method in kernel space construction and the positive semi-definite kernel was built. The typical mixed data set of an enterprise was used in simulation. We compared the SVM and KMLSVM in this data set and optimized the SVM kernel function parameters. The simulation results demonstrated the KMLSVM was a better algorithm in mix type data set than SVM.

scholarly journals BDCPS — A Framework for Smart Manufacturing Systems using Blockchain Technology

2019 ◽  
Vol 9 (1S3) ◽  
pp. 366-378
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Real Life ◽  
Cloud Services ◽  
Smart Manufacturing ◽  
Small Scale ◽  
Automotive Manufacturing ◽  
Blockchain Technology ◽  
Decentralized Decision Making ◽  
Smart Manufacturing Systems

Blockchain is going to be the most fundamental technology, and will change the world — going forward. In fact, the revolution has already begun. The birth of Industry 4.0 aka the Fourth Industrial Relution (I4.0), has created a need for autonomous and integrated, secure manufacturing systems. The current smart systems lack the decentralized decision making and real-time communication infrastructure, which is a condition for adaptive, smart manufacturing systems. In this paper, an autonomous, secure and collaborative platform based on Blockchain technology, is presented to adapt to such results. In support with Internet of Things (IoT) and cloud services, a Blockchain Driven Cyber Physical Production System (BDCPS) architecture is designed to communicate with machines, users, devices, suppliers and other peers. Using the Smart Contracts feature and trust-less peer-to-peer decentralized ledger feature, BDCPS will validate the claim with a small-scale real-life Blockchain with IoT system. This implementation case study will be running a private Blockchain on a single board computer, and bridged to a microcontroller containing IoT sensors. The applications of this system in automotive manufacturing industry are presented, to proceed towards Industry 4.0.

scholarly journals The State of Cybersecurity in Smart Manufacturing Systems: A Systematic Review

2021 ◽  
Vol 6 (6) ◽  
pp. 188-194
Author(s):  
Armando Araújo de Souza Junior ◽  
José Luiz de Souza Pio ◽  
Jó Cunha Fonseca ◽  
Marcelo Albuquerque De Oliveira ◽  
Otávio Cesar de Paiva Valadares ◽  
...  
Keyword(s):  
Information Technologies ◽  
Manufacturing Systems ◽  
Industrial Revolution ◽  
Intelligent Manufacturing ◽  
Smart Manufacturing ◽  
New Paradigm ◽  
Production Chain ◽  
Manufacturing Plants ◽  
Physical Systems ◽  
Smart Manufacturing Systems

With the advent of the so-called 4th Industrial Revolution, personified in the globally commented Industry 4.0, there is a change in progress in manufacturing systems, provided by the development of communication and information technologies, adding an intelligence component in manufacturing plants, through the possibility connectivity and interaction throughout the production chain (intelligent manufacturing systems or cyber-physical systems). However, this new paradigm has an extremely sensitive component, which is the question of the security of the data that is transferred and of the production processes itself. Due to this premise, this article proposed to bring, through a systematic literature review, research about the academic works related to security in these new manufacturing structures (smart manufacturing systems), analyzing which strategies, methodologies, techniques, and technologies have currently used to learn about their vulnerabilities and mitigate possible attacks.

scholarly journals Evaluating Centralized and Heterarchical Control of Smart Manufacturing Systems in the Era of Industry 4.0

2020 ◽  
Vol 10 (3) ◽  
pp. 755 ◽  
Author(s):  
Anna Rosaria Boccella ◽  
Piera Centobelli ◽  
Roberto Cerchione ◽  
Teresa Murino ◽  
Ralph Riedel
Keyword(s):  
Manufacturing Systems ◽  
Industrial Revolution ◽  
Virtual Learning Environment ◽  
Smart Manufacturing ◽  
Centralized Control ◽  
Flexible Control ◽  
Materials Handling ◽  
Modern Manufacturing ◽  
Heterarchical Control ◽  
Smart Manufacturing Systems

In light of the Fourth Industrial Revolution, the concepts of flexibility and re-configurability of manufacturing systems and the evolution of their control architectures are becoming increasingly important. The development of Cyber Physical Systems (CPS) and their flexibility and integrated capabilities have paved the way to the transition from centralized control to heterarchical (decentralized) control architectures. In this paper, a comparison between centralized and heterarchical control architectures in a virtual learning environment is presented. The control architectures of the assembly station and the materials handling system of modern manufacturing systems have been conceptualized and tested under different working conditions. The results show that centralized control is the best solution only for deterministic and predictable scenarios, which are very far from reality, whereas, in case of failures, a more flexible control is preferable.

scholarly journals THE INFLUENCE OF INTELLECTUAL PROPERTY ON THE INDUSTRIAL REVOLUTIONS

2021 ◽  
pp. 39-46
Author(s):  
Nataliia Svishchova
Keyword(s):  
Intellectual Property ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Production Equipment ◽  
The State ◽  
Systematic Analysis ◽  
Innovative Technologies ◽  
Fourth Industrial Revolution ◽  
Industrial Revolutions

The article provides an systematic analysis of the development of innovative technologies during the first, second, third and fourth industrial revolutions. The stages of industrialization, from the introduction of mechanical production equipment to digitalization and automation, to "Industry 4.0" with the establishment of links between all stakeholders. The essence of Industry 4.0 (the fourth industrial revolution) is defined. Two views on the influence of intellectual property on the development of industrial revolutions are considered: as those that led to a series of changes in all sectors of the economy and the spread of new patents and designs, and one that points to the shortcomings of patenting as a monopolistic deterrent to development and enforcement industrial revolutions. The conclusion on the influence of intellectual property on the development of industrial revolutions is stated. An analysis of the state and stages, achievements of industrial revolutions in Ukraine is given.

scholarly journals Industry 4.0 and smart manufacturing convergence: profiling guidelines for a fourth revolution

2020 ◽  
Vol 9 (2) ◽  
pp. 464
Author(s):  
John Henry Avila ◽  
Richard De Jesús Gil-Herrera
Keyword(s):  
Industry 4.0 ◽  
Information Technologies ◽  
Industrial Revolution ◽  
Semantic Representation ◽  
Smart Manufacturing ◽  
Global Trends ◽  
Physical Systems ◽  
Service Companies ◽  
Fourth Industrial Revolution ◽  
Connectivity Information

Nowadays, all companies are subject to new global trends related to smart manufacturing, connectivity, information technologies applications, big cloud-based data analysis, Cyber-Physical Systems, among others. These factors generate changes in the supply chain of manufacturing and service companies. According to literature reviewing, the applicable central model of the new trends, which allows these companies to face these changes, has been in continues movement. To understand the behavior of these trends, a documentary review related to Industry 4.0 and Smart Manufacturing as trends that outline the fourth industrial revolution, is facing through this work. As result of this review, the authors to develop holistically a semantic representation of the main terms of descriptive figures and graphs, some components and terminology related to Industry 4.0 and Smart Manufacturing. As main conclusion, this reached integrated view, aimed to establish a semantic guideline of the fourth industrial revolution that may be also applicable to the enterprise no matter its size.  

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