Industry 4.0: survey from a system integration perspective

2020 ◽  
Vol 33 (10-11) ◽  
pp. 1017-1041 ◽  
Author(s):  
Manuel Sanchez ◽  
Ernesto Exposito ◽  
Jose Aguilar
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Geetha Subramanian ◽  
Bhushan T. Patil ◽  
Bhaskar B. Gardas

Purpose Cloud technology is extremely critical for the continuing progress of Industry 4.0 and it helps in pooling centralized information for the business. Further, it offers a platform for collaboration for improving the performance of the industry. This paper aims to investigate the factors affecting the implementation of cloud technology for boosting Industry 4.0 adoption in micro, small and medium enterprises (MSMEs) of the manufacturing sector. Design/methodology/approach A total of 14 enablers were considered for the case study which were obtained from the literature survey and shortlisted by the experts of the domain (academia and industries). The interpretive structural modelling (ISM) approach has been used as a methodology for exploring the relationships between the enablers. Matrices impact croises multiplication applique and classment (MICMAC) analysis has been carried out for the validation of the developed structural model. MICMAC analysis helps to identify driving power and dependency potential of all considered enablers. Findings The results of the investigation indicate that three factors, namely, system integration, project management and competitive pressure, were significant. These factors drive all other considered factors in the implementation process. Research limitations/implications The opinions of the experts from the industry and academia were analyzed for the development of the hierarchical model and these inputs could be biased. This investigation intends to help the decision makers in the effective adoption of the cloud and Industry 4.0 technologies and for the formulation of the efficient implementation policies. Originality/value The present study aims to focus on cloud technology as well as Industry 4.0 in the context of manufacturing MSMEs and none of the previous investigations analyzed the enablers that influence the adoption of cloud technology for boosting Industry 4.0, especially using the ISM approach.


Author(s):  
Nseabasi Peter Essien ◽  
Uduakobong-Aniebiat Okon ◽  
Peace Asuquo Frank

2019 ◽  
Vol 266 ◽  
pp. 01006 ◽  
Author(s):  
Irrma Diana Mohd. Aripin ◽  
Emma Marinie Ahmad Zawawi ◽  
Zulhabri Ismail

Industry 4.0 is a concept which include Big Data and Analytics, Autonomous Robot, Simulation, System Integration, Internet of Things, Cyber Physical System, Cloud Computing, Additive Manufacturing and Augmented Reality. The makeover, not only completely change the way on how physical structures are designed, developed and preserved, but also how they are used in the future with applications of avant-garde technology. However there is a tendency that construction companies may be hesitant to invest in them. Industry 4.0 aims to motivate construction companies to adopt new technologies. Therefore, this paper aims to review on literature in identifying technologies that are used in line with Industry 4.0 as well as investigate the potential barriers faced and factors which influence the Industry 4.0 technologies implementation in the Malaysian construction industry. Relevant academic materials were reviewed thus the purpose of this paper is to present a literature review and critical analysis of the implementation of technologies behind Industry 4.0. Based on the results of the analysis, applications and uses, benefits, barriers and future needs are discussed. The results also reveal that the acceptance can help improves the image of the industry.


Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4444
Author(s):  
Ignacio Rodriguez ◽  
Rasmus Suhr Mogensen ◽  
Andreas Fink ◽  
Taus Raunholt ◽  
Søren Markussen ◽  
...  

The fourth industrial revolution, or Industry 4.0 (I4.0), makes use of wireless technologies together with other industrial Internet-of-Things (IIoT) technologies, cyber–physical systems (CPS), and edge computing to enable the optimization and the faster re-configuration of industrial production processes. As I4.0 deployments are ramping up, the practical integration of 5G wireless systems with existing industrial applications is being explored in both Industry and Academia, in order to find optimized strategies and to develop guidelines oriented towards ensuring the success of the industrial wireless digitalization process. This paper explores the challenges arisen from such integration between industrial systems and 5G wireless, and presents a framework applicable to achieve a structured and successful integration. The paper aims at describing the different aspects of the framework such as the application operational flow and its associated tools, developed based on analytical and experimental applied research methodologies. The applicability of the framework is illustrated by addressing the integration of 5G technology into a specific industrial use case: the control of autonomous mobile robots. The results indicate that 5G technology can be used for reliable fleet management control of autonomous mobile robots in industrial scenarios, and that 5G can support the migration of the on-board path planning intelligence to the edge-cloud.


2019 ◽  
Vol 18 (5) ◽  
pp. 652-653
Author(s):  
Bulent Cavas

Industry 4.0 and its applications are one of the most important issues of countries that want to keep their competitiveness in the field of scientific, technological and innovation in today's world. The Countries that are not able to adapt to Industry 4.0 processes will not be able to develop scientifically and technologically or keep up with current innovation processes. One of the aims of this paper is to explain the concept of industry 4.0 to our readers in a comprehensible manner and to show how much science education is actually related to industry 4.0. In a general sense, Industry 4.0 or in other words, the 4th Industrial Revolution is an expression that includes many modern automation processes, large databases that communicate with each other, robotic devices and dark factories, in short, quality production technologies. In addition, Industry 4.0 includes modern technologies such as additive manufacturing, autonomous robots, big data, artificial intelligence, augmented reality, system integration, internet of things, cybersecurity, cloud computing, machine learning, deep learning etc. These technologies play an important role especially in the formation of new smart factories.


2020 ◽  
Vol 12 (15) ◽  
pp. 6100 ◽  
Author(s):  
Syed Hammad Mian ◽  
Bashir Salah ◽  
Wadea Ameen ◽  
Khaja Moiduddin ◽  
Hisham Alkhalefah

The emergence of Industry 4.0, also referred to as the fourth industrial revolution, has entirely transformed how the industry or business functions and evolves. It can be attributed to its broadening focus on automation, decentralization, system integration, cyber-physical systems, etc. Its implementation promises numerous benefits in terms of higher productivity, greater volatility, better control and streamlining of processes, accelerated enterprise growth, sustainable development, etc. Despite the worldwide recognition and realization of Industry 4.0, its holistic adoption is constrained by the requirements of specific skills among the workforce. The personnel are expected to acquire adaptive thinking, cognitive and computational skills, predominantly in the area of information technology, data analytics, etc. Thus, the universities that laid the foundation for future talents or trends in society have to adapt and modernize the existing programs, facilities, and infrastructure. This reshaping of higher education in consonance with the vision of Industry 4.0 possesses its opportunities and challenges. There are, of course, a multitude of factors involved and they need a reasonable assessment to strategically plan this metamorphosis. Therefore, this work aims to explore and analyze the different factors that influence the progression and enactment of Industry 4.0 in universities for sustainable education. For this purpose, a systematic approach based on a questionnaire as well as a SWOT (strengths (S), weaknesses (W), opportunities (O), and threats (T)) integrated with the analytic hierarchy process (AHP) is adopted. The questionnaires are administered to university employees and students (or stakeholders) to assess their viewpoint, as well as to estimate the priority values for individual factors to be included in SWOT. The AHP is implemented to quantify the different factors in terms of weights using a pairwise comparison matrix. Finally, the SWOT matrix is established depending on the questionnaire assessment and the AHP weights to figure out stakeholders’ perspectives, in addition to the needed strategic scheme. The SWOT implementation of this research proposes an aggressive approach for universities, where they must make full use of their strengths to take advantage of the emerging opportunities in Industry 4.0. The results also indicate that there are fundamental requirements for universities in Industry 4.0, including effective financial planning, skilled staff, increased industrial partnerships, advanced infrastructure, revised curricula, and insightful workshops. This investigation undoubtedly underlines the importance of practical expertise and the implementation of digital technologies at the university level to empower novices with the requisite skills and a competitive advantage for Industry 4.0.


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