Disruptive Technologies and Operations Management in the Industry 4.0 Era and Beyond

Author(s):  
Tsan‐Ming Choi ◽  
Subodha Kumar ◽  
Xiaohang Yue ◽  
Hau‐Ling Chan
2018 ◽  
Vol 35 (4) ◽  
pp. 255-268 ◽  
Author(s):  
Diego Castro Fettermann ◽  
Caroline Gobbo Sá Cavalcante ◽  
Tatiana Domingues de Almeida ◽  
Guilherme Luz Tortorella

2021 ◽  
Vol 28 (5) ◽  
pp. 1883-1908 ◽  
Author(s):  
Santosh B. Rane ◽  
Yahya Abdul Majid Narvel

Purpose Blockchain and Internet of Things (IoT) technologies have recently gained much attention for Industry 4.0. With the emergence of disruptive technologies, it has become essential to redesign the business for innovations based on blockchain–IoT integrated architecture that helps organizations to improve agility in their operations. The paper aims to discuss this issue. Design/methodology/approach An industrial pump was Sensorized and IoTized to monitor its operations on real time and take predictive measures for managing these assets with more agility. The developed architecture was further extended for proposing the use of blockchain and how it can benefit the organization. Findings The known features of blockchain such as increasing the capacity of decentralization, trust-less transactions, security and allowing autonomous coordination of the devices along with the boons of IoT will help achieve the motto of improving agility in Industry 4.0. Originality/value This paper gives a new dimension to utilization of blockchain technology. blockchain along with IoT that gives a way forward for industries like manufacturing, oil and gas, engineering and construction, utilities, etc. to re-designing the business organization in a more agile way.


2020 ◽  
Vol 2020 ◽  
pp. 1-45 ◽  
Author(s):  
Ocident Bongomin ◽  
Aregawi Yemane ◽  
Brendah Kembabazi ◽  
Clement Malanda ◽  
Mwewa Chikonkolo Mwape ◽  
...  

Very well into the dawn of the fourth industrial revolution (industry 4.0), humankind can hardly distinguish between what is artificial and what is natural (e.g., man-made virus and natural virus). Thus, the level of discombobulation among people, companies, or countries is indeed unprecedented. The fact that industry 4.0 is explosively disrupting or retrofitting each and every industrial sector makes industry 4.0 the famous buzzword amongst researchers today. However, the insight of industry 4.0 disruption into the industrial sectors remains ill-defined in both academic and nonacademic literature. The present study aimed at identifying industry 4.0 neologisms, understanding the industry 4.0 disruption and illustrating the disruptive technology convergence in the major industrial sectors. A total of 99 neologisms of industry 4.0 were identified. Industry 4.0 disruption in the education industry (education 4.0), energy industry (energy 4.0), agriculture industry (agriculture 4.0), healthcare industry (healthcare 4.0), and logistics industry (logistics 4.0) was described. The convergence of 12 disruptive technologies including 3D printing, artificial intelligence, augmented reality, big data, blockchain, cloud computing, drones, Internet of Things, nanotechnology, robotics, simulation, and synthetic biology in agriculture, healthcare, and logistics industries was illustrated. The study divulged the need for extensive research to expand the application areas of the disruptive technologies in the industrial sectors.


2019 ◽  
Vol 52 (13) ◽  
pp. 457-462 ◽  
Author(s):  
Mahdi Naderi ◽  
Enrique Ares ◽  
Gustavo Peláez ◽  
Daniel Prieto ◽  
Madalena Araújo

2022 ◽  
Vol 174 ◽  
pp. 121232
Author(s):  
Victor Chang ◽  
Gary Wills ◽  
Patricia Baudier

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shubhangini Rajput ◽  
Surya Prakash Singh

Purpose The purpose of this paper is to identify the Industry 4.0 barriers to achieve circular economy (CE). The study focuses on exploring the link between Industry 4.0 and CE. This leads to the implementation of integrated Industry 4.0-CE and attainment of sustainable production and consumption through analyzing the technological benefits of Industry 4.0. Design/methodology/approach Industry 4.0 barriers are identified from literature review and discussions with industry experts. Here, the interpretive structural modeling (ISM) technique is applied to develop the contextual relationship among the barriers and to identify the prominent barriers hindering the CE implementation. Findings The ISM hierarchical model and Matriced’ impacts croised-multiplication applique’ and classment analysis illustrate that the digitalization process and the semantic interoperability possess high driving power and low dependence. These barriers require keen attention to play a significant role in improving resource efficiency and sustainability, and absence of these barriers may not drive other barriers for CE. Apart from these barriers, cyber-physical systems standards and specifications, sensor technology and design challenges are also the most influential Industry 4.0 barriers for achieving CE. Practical implications The findings provide an opportunity for industry practitioners to explore the most driving Industry 4.0 barriers. The study confirms that integrated Industry 4.0-CE will maintain sustainable operations management by optimizing the production and consumption patterns. It will also provide an opportunity of customization where customers and products interact and can monitor the performance of the operations through the Internet of Things sensors. Originality/value The study provides integration of Industry 4.0 challenges to implement CE. However, the integration of the two burgeoning fields is still very scarce and lacks in adopting the technological benefits of the integrated Industry 4.0-CE.


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