scholarly journals Adaptive Automation Assembly Systems in the Industry 4.0 Era: A Reference Framework and Full–Scale Prototype

2021 ◽  
Vol 11 (3) ◽  
pp. 1256
Author(s):  
Marco Bortolini ◽  
Maurizio Faccio ◽  
Francesco Gabriele Galizia ◽  
Mauro Gamberi ◽  
Francesco Pilati

Industry 4.0 emerged in the last decade as the fourth industrial revolution aiming at reaching greater productivity, digitalization and operational efficiency standard. In this new era, if compared to automated assembly systems, manual assembly systems (MASs) are still characterized by wide flexibility but poor productivity levels. To reach acceptable performances in terms of both productivity and flexibility, higher automation levels are required to increase the skills and capabilities of the human operators with the aim to design next-generation assembly systems having higher levels of adaptivity and collaboration between people and automation/information technology. In the current literature, such systems are called adaptive automation assembly systems (A3Ss). For A3Ss, few design approaches and industrial prototypes are available. This paper, extending a previous contribution by the Authors, expands the lacking research in the field and proposes a general framework guiding toward A3S effective design and validation. The framework is applied to a full-scale prototype, highlighting its features together with the technical- and human-oriented improvements arising from its adoption. Specifically, evidence from this study show a set of benefits from adopting innovative A3Ss in terms of reduction of the assembly cycle time (about 30%) with a consequent increase of the system productivity (about 45%) as well as relevant improvements of ergonomic posture indicators (about 15%). The definition of a general framework for A3S design and validation and the integration of the productivity and ergonomic analysis of such systems are missing in the current literature, representing an element of innovation. Globally, this research paper provides advanced knowledge to guide research, industrial companies and practitioners in switching from traditional to advanced assembly systems in the emerging Industry 4.0 era matching current industrial and market features.

Author(s):  
Hanaa Abdulraheem Yamani ◽  
Waleed Tageldin Elsigini

The current era is witnessing many changes on various levels. The information and communication revolutions are considered one of the important changes which has cast a shadow over how different institutions in society work via the phenomenon of digitization. As some of the most important institutions of society, industrial companies have been responding to this phenomenon of digital transformation to improve products and customer service while achieving a significant profitable return. This response by these institutions to the digital transformation has resulted in the emergence of the so-called fourth industrial revolution. In this context, this chapter reviews the definition of digital transformation as well as its dimensions, benefits, and obstacles. It also comments on the future of digital transformation and its relationship with industry. Ultimately it presents the fourth industrial revolution in terms of its definition, history, criteria, benefits, and the challenges it faces moving into the future.


Author(s):  
Pedro Fernandes Anunciação ◽  
Vitor Manuel Lemos Dinis ◽  
Francisco Madeira Esteves

Industry 4.0 marks the beginning of the so-called fourth industrial revolution. The new emerging information technologies, such as internet of things, cloud computing, machine learning, artificial intelligence, among others, have challenged the management and organization of industrial companies. They have now shorter market response times, higher quality requirements, and customization needs, which challenges many industrial areas from production to maintenance, from design to asset management. The maintenance and asset management condition and the reliability of production lines are closely linked and constitute key areas of good industrial operation. This work seeks to present a roadmap proposal for the management of industrial assets from maintenance management. In addition, it seeks to identify the key elements for a roadmap design and proposes a set of management questions to assess maintenance maturity.


2019 ◽  
Vol 31 (5) ◽  
pp. 1023-1043 ◽  
Author(s):  
Reginaldo Carreiro Santos ◽  
José Luís Martinho

Purpose In recent years, the development and application of innovative and disruptive technologies in manufacturing environments is shaping the fourth industrial revolution, also known as Industry 4.0. The purpose of this paper is to describe a tool to assess the maturity level in implementing Industry 4.0 concepts and technologies in manufacturing companies. Design/methodology/approach Using a framework to develop maturity models found in literature, three main steps were taken: the model design from the literature review on industry 4.0 and the comparative analysis of existing models; interviews with engineers and managers of relevant industries; and pilot tests in two relevant industrial companies. Findings The proposed maturity model has 41 variables considering five dimensions (organizational strategy, structure and culture; workforce; smart factories; smart processes; smart products and services). The studied companies showed different levels of Industry 4.0 implementation. According to respondents, the model is useful in making an initial diagnosis and establishes a roadmap to proceed the implementation. Practical implications Empirical evidence supports the relevance of the proposed model and its practical usefulness. It can be used to measure the current state (initial diagnostic and monitoring assessments), and to plan the future desired state (goal), identifying which transformational capabilities should be developed. Originality/value The literature review did not return an enough complete maturity model to guide a self-administered assessment. Therefore, the proposed model is a valuable tool for companies and researchers to understand the I4.0 phenomenon, plan and monitor the transformation actions.


Author(s):  
Gilberto Marzano ◽  
Luis Ochoa Siguencia

Industry 4.0 is a term first introduced by the German government during the Hannover Messe fair in 2011 when it launched an initiative to support German industry in tackling future challenges. It refers to the 4th industrial revolution in which disruptive digital technologies, such as the Internet of Things (IoT), Internet of Everything (IoE), robotics, virtual reality (VR), and artificial intelligence (AI), are impacting industrial production.The new industrial paradigms of Industry 4.0 demand a socio-technical evolution of the human role in production systems, in which all working activities of the value chain will be performed with smart approaches.However, the automation of processes can have unpredictable effects.Nowadays, in a smart factory, the role of human operators is often only to control and supervise the automated processes. This new condition of workers brought forth a paradox: malfunctions or irregularities in the automated production process are rare but challenging.This article discusses the challenges and risks that the 4th industrial revolution is bringing to society.It introduces the concept of the Irony of Automation. This propounds that the more reliable an automated system, the less human operators have to do and, consequently, the less attention they pay to the system while it is operating.The authors go on to discuss the human-centered approach to automation, whose purpose is not necessarily to automate previously manual functions but, rather, to enhance user effectiveness and reduce errors. 


2020 ◽  
Vol 40 (3) ◽  
pp. 531-540
Author(s):  
Marco Bortolini ◽  
Maurizio Faccio ◽  
Francesco Gabriele Galizia ◽  
Mauro Gamberi ◽  
Francesco Pilati

Purpose Industry 4.0 emerged as the Fourth Industrial Revolution aiming at achieving higher levels of operational efficiency, productivity and automation. In this context, manual assembly systems are still characterized by high flexibility and low productivity, if compared to fully automated systems. Therefore, the purpose of this paper is to propose the design, engineering and testing of a prototypal adaptive automation assembly system, including greater levels of automation to complement the skills and capabilities of human workers. Design/methodology/approach A lab experimental field-test is presented comparing the assembly process of a full-scale industrial chiller with traditional and adaptive assembly system. Findings The analysis shows relevant benefits coming from the adoption of the adaptive automation assembly system. In particular, the main findings highlight improvements in the assembly cycle time and productivity, as well as reduction of the operator’s body movements. Practical implications The prototype is applied in an Italian mid-size industrial company, confirming its impact in terms of upgrades of the assembly system flexibility and productivity. Thus, the research study proposed in this paper provides valuable knowledge to support companies and industrial practitioners in the shift from traditional to advanced assembly systems matching current industrial and market features. Originality/value This paper expands the lacking research on adaptive automation assembly systems design proposing an innovative prototype able to real-time reconfigure its structure according to the product to work, e.g. work cycle, and the operator features.


2020 ◽  
Vol 8 (2) ◽  
pp. 32 ◽  
Author(s):  
Amir Mehdiabadi ◽  
Mariyeh Tabatabeinasab ◽  
Cristi Spulbar ◽  
Amir Karbassi Yazdi ◽  
Ramona Birau

The purpose of the present paper is to provide an advanced overview of the practical applications of Banking 4.0 in Industry 4.0. This paper examines the technology trends in the Fourth Industrial Revolution and identifies the key indicators behind the creation of a strategic map for the fourth-generation banks and their readiness to enter Industry 4.0. This paper examines a systematic review of fully integrated Banking 4.0 and the application of the technologies of Industry 4.0 and illustrates a distinct pattern of integration of Banking 4.0 and Industry 4.0. One of the prominent features of this article is the performance of successful global banks in applying these technologies. The results showed that Banking 4.0 in Industry 4.0 is an integrative value creation system consisting of six design principles and 14 technology trends. The roadmap designed for banks to enter Industry 4.0 and how they work with industrial companies will be a key and important guide.


Author(s):  
A. L. Lisovsky

The influence of technologies of the Industry 4.0 on optimization business processes of the industrial companies for achievement of a sustainable development is analyzed. Effects of the changes caused by technologies of the Industry of 4.0 in the Russian and foreign companies are considered. It is shown that achievement of a sustainable development is impossible without the process innovations caused by introduction of new technologies. The algorithm of carrying out audit and an assessment of the new technologies “business processes” most ready to introduction is offered for their introduction..


2020 ◽  
Vol 11 (2) ◽  
pp. 132-149
Author(s):  
A. V. Trachuk ◽  
N. V. Linder

Paper is devoted to interrelation research between investments in technology of the fourth industrial revolution, patterns of innovative behavior and productivity of the Russian industrial companies. Research is conducted on the basis of data of 576 industrial companies (874 respondents).At the first investigation phase it is confirmed that technologies of the industry have the greatest impact on increase of productivity and transformation of industrial production 4.0: robotics, Internet of things, additive production, big data and analytics, cybersecurity. Besides, effects of introduction of technologies of the fourth industrial revolution are defined: financial, valuable, operational, innovative and technological development.At the second investigation phase the interrelation analysis between investments is carried out to technologies of the industry 4.0, patterns of innovative behavior and productivity of the industrial companies with use of the modified CDM model. The received empirical results have shown that investments of the industrial companies in technology of the fourth industrial revolution increase productivity with elasticity 0,28 for high-tech industries; 0,21 – for the middle-technology, and 0,14 – for low-technology.Investments in innovative activity have elasticity range from 0,04 (for low volumes of investments in new technologies) to 0,17 (at the high volumes of investments); the relations between investments in an innovation and growth of productivity aren't linear and have stable positive relation only after a certain critical mass of investments in new technologies is reached. Considerable influence on interrelation of investments in innovations and productivity is rendered by the characteristic of branch in which the company works: the firms working in high-tech industries, not only put in new technologies, innovative activity more, but also have more high efficiency caused by scientific researches and development; the companies of low-technology branches have negative elasticity of investments in innovations and productivity that is connected with influence of effect of unprofitability of investments into innovations (appropriability effect), that is the additional profit on investment isn't essential.


Author(s):  
I. V. Tarasov

The idea of the fourth technological revolution on the one hand is conceptual as formulates understanding of occurring changes, on the other hand, institutional, so creates the base for a number of the political initiatives developed and supported by the state and business for development of a research and development program. In article questions are considered:• Where the third industrial revolution comes to an end and the fourth begins?• What distinctive features and elements characterize "the industry 4.0"?• What changes expect an industry and the enterprise? the main characteristics of industrial production carry are: • digitalization and vertical integration on a value creation chain; digitalization and horizontal integration of several chains of value creation; • digitalization of products and services; • digital business models and access of clients; • the developed technological platform. The analysis of influence of the technologies characterizing the fourth industrial revolution on increase of productivity of the industrial companies is carried out. Application of the specified technologies not only allows to reduce number of unplanned shutdowns of the equipment considerably; time spent for jet, emergency work; but thus to increase time spent for pro-active, preventive maintenance. Besides, transformation of industrial production affects business-models of the industrial companies. The carried-out analysis of cases, allowed to allocate three new models of the organization of plants: the clever automated plants, the plants focused on the client, and mobile plants.


Author(s):  
Klaus Schwab

The rapid pace of technological developments played a key role in the previous industrial revolutions. However, the fourth industrial revolution (Industry 4.0) and its embedded technology diffusion progress is expected to grow exponentially in terms of technical change and socioeconomic impact. Therefore, coping with such transformation require a holistic approach that encompasses innovative and sustainable system solutions and not just technological ones. In this article, we propose a framework that can facilitate the interaction between technological and social innovation to continuously come up with proactive, and hence timely, sustainable strategies. These strategies can leverage economic rewards, enrich society at large, and protect the environment. The new forthcoming opportunities that will be generated through the next industrial wave are gigantic at all levels. However, the readiness for such revolutionary conversion require coupling the forces of technological innovation and social innovation under the sustainability umbrella.


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