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Communication between Human and Machines in the Era of Industry 4.0
Published in Kris MY Law, Andrew WH Ip, Brij B Gupta, Shuang Geng, Managing IoT and Mobile Technologies with Innovation, Trust, and Sustainable Computing, 2021
Brij B Gupta, Pooja Chaudhary, Kwok Tai Chui, Konstantinos Psannis
Evolution of technology has led to significant improvement in human–machine interface (HMI) [1]. From simple push button to touch-screen display, the industry has witnessed rapid growth in technology. Still, many advancements of HMI are yet to come. With the evolution of Industry 4.0 (I4), organizations have witnessed fast, more flexible, efficient, and autonomous productions. It was first termed by the BMBF in Germany in the year 2011, in which they have demonstrated how cyber–physical systems (CPS) could bring advancements in business models which could bring a paradigm shift in the industrial automation sector [2]. I4 represents the network of self-regulating and automated machinery that possesses the capabilities to interact with other devices/processes, enabling advanced path of production. It revolutionizes the data-intensive manufacturing procedures into more connected ecosystem of smart devices to realize the vision of smart industry. Specifically, it reconciles the physical devices/machinery in industries and digital technologies into CPS. Figure 1.1 depicts how I4 assists in industrial transformation.
Introduction
Published in Yi Chen, Yun Li, Computational Intelligence Assisted Design, 2018
The industrial revolution began in Great Britain and most of the important technological innovations were British. The earliest use of ‘industrial revolution’ was in a letter written on 6 July 1799 by French envoy LouisGuillaume Otto, announcing that France had entered the race to industrialise [Francois (2018)]. Figure 1.2 shows the brief history of the industrial revolution.The first industrial revolution marked the transition to new manufacturing pro cesses in the period from about 1760 to sometime between 1820 and 1840. The commencement of the first industrial revolution is closely linked to a small number of innovations, such as textiles, steam power, iron making and the invention of machine tools [Bond, et al. (2011)], beginning in the second half of the 18th century [Wikipedia (2018)].The first industrial revolution evolved into the second industrial revolution in the transition years between 1840 and 1870, when technological and economic progress continued with the increasing adoption of steam transport (telephone, light bulb, phonograph, the internal combustion engine, railways, boats and ships, etc.), the largescale manufacture of machine tools and the increasing use of ma chinery in steampowered factories [Wikipedia (2018)].The third industrial revolution is the digitisation of design and manufacturing in a sustainable era of distributed capitalism, ushering the technologies of the internet, green electricity and 3D printing, etc. [Rifkin (2015)].The fourth industrial revolution, also known as Industry 4.0 (i4), is the current trend of automation and data exchange in manufacturing technologies, which include cyberphysical systems, the Internet of things, cloud computing, robotics, artificial intelligence, nanotechnology, biotechnology, etc. The i4 has begun and offers attractive opportunities to industrial companies [Wikipedia (2018)].
Extenuating operational risks through digital transformation of agri-food supply chains
Published in Production Planning & Control, 2023
Industry 4.0 (I4) or the fourth industrial revolution means disruptive technologies of the 21st century which can dramatically improve connectivity, information sharing, flexibility, visibility and traceability within a firm and supply chain. While there is no single classification, the widely accepted elements of I4 include IoT supported sensors, EDI, RFDI, GPS, cloud computing, BDA and robotics (Ali and Aboelmaged 2021; Kamble and Gunasekaran 2020). IoT is an interconnected network of devices (e.g. sensors, EDI, RFID, GPS, computers) which constantly exchange data, thus enhancing communication between all objects in a system (Ali 2019; Frank, Dalenogare, and Ayala 2019). Cloud computing refers to the creation of a shared pool of data in the main server to which all devices are connected. The joint application of IoT and cloud computing allows different devices to generate big data (Wamba et al. 2017). The analysis of big data, also called BDA, is considered one of the most important tools for decision making (Frank, Dalenogare, and Ayala 2019). In addition, automated robots help to perform multiple operations that are either too complex or possess risks of human error (Ali 2019; Kamble and Gunasekaran 2020).
Analysing the role of Industry 4.0 technologies and circular economy practices in improving sustainable performance in Indian manufacturing organisations
Published in Production Planning & Control, 2023
Sachin S. Kamble, Angappa Gunasekaran
A German strategic initiative, I4 was developed to create smart factories using merging technologies such as big data analytics, internet of things (IoT), 3 D printing, augmented reality, cloud computing and robotic systems to develop cyber-physical systems that drives the 3BL performance of the of the organisations (Lee and Lee 2015; Lasi et al. 2014; Kamble, Gunasekaran, and Gawankar 2018a). The deployment of I4 technologies is found to reduce the product costs, improve lead times, product quality and offer other benefits associated with the use of technologies (Albers et al. 2016; Bibby and Dehe 2018). I4 technologies are expected to accelerate industries towards the development of extraordinary operational competences and improvement in productivity (Pfeiffer and Suphan 2015; Kamble, Gunasekaran, and Sharma 2018b).