scholarly journals A Review of 4IR/5IR Enabling Technologies and Their Linkage to Manufacturing Supply Chain

Technologies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 77
Author(s):  
Mokesioluwa Fanoro ◽  
Mladen Božanić ◽  
Saurabh Sinha

Over the last decade, manufacturing processes have undergone significant change. Most factory activities have been transformed through a set of features built into a smart manufacturing framework. The tools brought to bear by the fourth industrial revolution are critical enablers of such change and progress. This review article describes the series of industrial revolutions and explores traditional manufacturing before presenting various enabling technologies. Insights are offered regarding traditional manufacturing lines where some enabling technologies have been included. The manufacturing supply chain is envisaged as enhancing the enabling technologies of Industry 4.0 through their integration. A systematic literature review is undertaken to evaluate each enabling technology and the manufacturing supply chain and to provide some theoretical synthesis. Similarly, obstacles are listed that must be overcome before a complete shift to smart manufacturing is possible. A brief discussion maps out how the fourth industrial revolution has led to novel manufacturing technologies. Likewise, a review of the fifth industrial revolution is given, and the justification for this development is presented.

Author(s):  
Marzieh Khakifirooz ◽  
Mahdi Fathi ◽  
Panos M. Pardalos ◽  
Daniel J. Power

This work introduces a formation and variety of decision-making models based on operations research modeling and optimization techniques in smart manufacturing environments. Unlike traditional manufacturing, the goal of Smart manufacturing is to optimizing concept generation, production, and product transaction and enable flexibility in physical processes to address a dynamic, competitive and global supply chains by using intelligent computerized control, advanced information technology, smart manufacturing technologies and high levels of adaptability. While research in the broad area of smart manufacturing and its challenges in decision making encompasses a wide range of topics and methodologies, we believe this chapter provides a good snapshot of current quantitative modeling approaches, issues, and trends within the field. The chapter aims to provide insights into the system engineering design, emphasizing system requirements analysis and specification, the use of alternative analytical methods and how systems can be evaluated.


2020 ◽  
Author(s):  
Hendro Wicaksono

The preprint is a presentation about the contributions of Muslim scientists to technology enabling the fourth industrial revolution. First, the presentation illustrates the industrial revolutions and their enabling technologies, and then it focuses on the industry 4.0 technologies by highlighting the history of artificial intelligence. It continues with the flashback of the contributions of scientists from the Islamic Golden Age to technologies used in industry 4.0, such as mechanics, automation, robotics, and IT. The presentation presents the works of Banu Musa, Al-Jazari, and Al-Khawarizm. Then, the presentation gives an overview of the implications of industry 4.0 on business, education, entrepreneurship, and leadership. Finally, the presentation presents the challenges and opportunity of current Muslim scientists and communities in facing the industry 4.0 era.


2021 ◽  
Vol 13 (18) ◽  
pp. 10139
Author(s):  
Vivek Warke ◽  
Satish Kumar ◽  
Arunkumar Bongale ◽  
Ketan Kotecha

The Fourth Industrial Revolution drives industries from traditional manufacturing to the smart manufacturing approach. In this transformation, existing equipment, processes, or devices are retrofitted with some sensors and other cyber-physical systems (CPS), and adapted towards digital production, which is a blend of critical enabling technologies. In the current scenario of Industry 4.0, industries are shaping themselves towards the development of customized and cost-effective processes to satisfy customer needs with the aid of a digital twin framework, which enables the user to monitor, simulate, control, optimize, and identify defects and trends within, ongoing process, and reduces the chances of human prone errors. This paper intends to make an appraisal of the literature on the digital twin (DT) framework in the domain of smart manufacturing with the aid of critical enabling technologies such as data-driven systems, machine learning and artificial intelligence, and deep learning. This paper also focuses on the concept, evolution, and background of digital twin and the benefits and challenges involved in its implementation. The Scopus and Web of Science databases from 2016 to 2021 were considered for the bibliometric analysis and used to study and analyze the articles that fall within the research theme. For the systematic bibliometric analysis, a novel approach known as Proknow-C was employed, including a series of procedures for article selection and filtration from the existing databases to get the most appropriate articles aligned with the research theme. Additionally, the authors performed statistical and network analyses on the articles within the research theme to identify the most prominent research areas, journal/conference, and authors in the field of a digital twin. This study identifies the current scenarios, possible research gaps, challenges in implementing DT, case studies and future research goals within the research theme.


2018 ◽  
Vol 10 (12) ◽  
pp. 4779 ◽  
Author(s):  
Yuquan Meng ◽  
Yuhang Yang ◽  
Haseung Chung ◽  
Pil-Ho Lee ◽  
Chenhui Shao

With the rapid development of sensing, communication, computing technologies, and analytics techniques, today’s manufacturing is marching towards a new generation of sustainability, digitalization, and intelligence. Even though the significance of both sustainability and intelligence is well recognized by academia, industry, as well as governments, and substantial efforts are devoted to both areas, the intersection of the two has not been fully exploited. Conventionally, studies in sustainable manufacturing and smart manufacturing have different objectives and employ different tools. Nevertheless, in the design and implementation of smart factories, sustainability, and energy efficiency are supposed to be important goals. Moreover, big data based decision-making techniques that are developed and applied for smart manufacturing have great potential in promoting the sustainability of manufacturing. In this paper, the state-of-the-art of sustainable and smart manufacturing is first reviewed based on the PRISMA framework, with a focus on how they interact and benefit each other. Key problems in both fields are then identified and discussed. Specially, different technologies emerging in the 4th industrial revolution and their dedications on sustainability are discussed. In addition, the impacts of smart manufacturing technologies on sustainable energy industry are analyzed. Finally, opportunities and challenges in the intersection of the two are identified for future investigation. The scope examined in this paper will be interesting to researchers, engineers, business owners, and policymakers in the manufacturing community, and could serve as a fundamental guideline for future studies in these areas.


2019 ◽  
Vol 3 (3) ◽  
pp. 88 ◽  
Author(s):  
Marco Valente ◽  
Abbas Sibai ◽  
Matteo Sambucci

Additive manufacturing is one of the main topics of the fourth industrial revolution; defined as Industry 4.0. This technology offers several advantages related to the construction and architectural sectors; such as economic; environmental; social; and engineering benefits. The usage of concrete in additive technologies allows the development of innovative applications and complexity design in the world of construction such as buildings; housing modules; bridges; and urban and domestic furniture elements. The aim of this review was to show in detail a general panoramic of extrusion-based additive processes in the construction sector; the main advantages of using additive manufacturing with the respect to traditional manufacturing; the fundamental requirements of 3D printable material (fresh and hardened properties), and state-of-the-art aesthetic and architectural projects with functional properties.


2017 ◽  
Vol 19 (3) ◽  
pp. 482-509 ◽  
Author(s):  
Steven Samford ◽  
Peter Warrian ◽  
Elena Goracinova

AbstractThe promotion of additive manufacturing (AM) as a set of enabling technologies has been a prominent feature of new policies seeking to revitalize manufacturing in developed economies. Because of its differences from traditional manufacturing technologies, small businesses, in particular, face high costs in adopting AM methods. How can governments assist small firms and their innovation ecosystems to make significant leaps in enabling technologies? This paper conceptualizes the challenges faced by groups of small enterprises adopting new technologies and a decentralized policy effort to systematically increase the use of advanced manufacturing technologies. In Canada, funding used by community colleges to create applied research centers has been intended to establish anchors for local “industrial commons” around advanced manufacturing methods. By providing both information and working capital to private sector partners, these community college programs should ideally mitigate challenges to the adoption of AM technologies—the so-called “valley of death”—in local ecosystems. There are many successful individual cases of partnership (i.e., private goods); however, this bottom-up approach seems to fail both as a means of promoting vibrant industrial commons (i.e., public goods) and as a coherent national strategy. We trace the challenges of this approach to principal-agent problems associated with layering new programs upon existing organizations, the density of program participants, and the presence of appropriate technologies.


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