Determination of Changes in Process Management within Industry 4.0

Benešová, Andrea; Hirman, Martin; Steiner, František; Tupa, Jiří

doi:10.1016/j.promfg.2020.01.112

Cited by 26 publications

(21 citation statements)

References 10 publications

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“…Monitoring: homecare (IoT-based information system), caring and monitoring of patients, Internet of Health ings (IoHT), wearable Internet of things (WIoT) [422,424,[497][498][499] MDE: Internet of Medical ings (IoMT) (IoT in implantable and wearable devices) [422,500] DDPPPT: Internet of nano-ings (IoNT) (IoT in nanomedicine for diagnostics, treatment, preventive health, chronic care disease management, and follow-up care) [422] TMR: Internet of mobile-health ings (m-IoT) (remote monitoring of patients), wearable Internet of ings (WIoT) [414,422,501,502] Globalization, finance, governance, leadership, and society at large play an astonishing role in enhancement of the general performance and development of the logistics industry as well as economic growth in any country [569][570][571][572][573]. Most importantly, delivering on digitalization for large multinational business, in the contemporary context of global operations and real-time delivery, is a significant opportunity to the logistic industry [574,575].…”

Section: Convergence Of Disruptive Technologies In Healthcarementioning

confidence: 99%

Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art

Bongomin

Yemane

Kembabazi

et al. 2020

Journal of Engineering

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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.

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Section: Convergence Of Disruptive Technologies In Healthcarementioning

confidence: 99%

Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art

Bongomin

Yemane

Kembabazi

et al. 2020

Journal of Engineering

View full text Add to dashboard Cite

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“…Furthermore, some stages are worker-dependent. SIPOC (suppliers, inputs, process, outputs, customers) [39,40], Pareto chart [41], COPQ (Cost of poor quality) [42], brainstorming [43], FMECA (Failure mode, effects and criticality analysis) [24,44], CTQ (Critical to quality) matrix [45], control charts [46], design of experiments [4,47], cause and effect diagram [48], and process capability [49] are wellknown tools and techniques in the engineering field. The latter have been used during the PDCA cycle implementation aiming to bring an effective solution of a problem and to provide benefits for the industrial scenario.…”

Section: The Pdca Cycle Implementationmentioning

confidence: 99%

A Guideline for Implementing a Robust Optimization of a Complex Multi-Stage Manufacturing Process

et al. 2021

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In the industrial production scenario, the goal of engineering is focused on the continuous improvement of the process performance by maximizing the effectiveness of the manufacturing and the quality of the products. In order to address these aims, the advanced robust process optimization techniques have been designed, implemented, and applied to the manufacturing process of ultrasound (US) probes for medical imaging. The suggested guideline plays a key role for improving a complex multi-stage manufacturing process; it consists of statistical methods applied for improving the product quality, and for achieving a higher productivity, jointly with engineering techniques oriented to problem solving. Starting from the Six Sigma approach, the high definition of the production process was analyzed through a risk analysis, and thus providing a successful implementation of the PDCA (plan-do-check-act) methodology. Therefore, the multidisciplinary analysis is carried out by applying statistical models and by detecting the latent failures by means of NDT (non-destructive testing), i.e., scanning acoustic microscopy (SAM). The presented approach, driven by the statistical analysis, allows the engineers to distinguish the potential weak points of the complex manufacturing, in order to implement the corrective actions. Furthermore, in this paper we illustrate this approach by considering a pilot study, e.g., a process of US probes for medical imaging, by detailing all the guideline steps.

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“…Logistics 4.0 is a new paradigm in logistics industry that focus on the description of the newest technologies in contemporary supply chains applications [552,553] Globalization, finance, governance, leadership and society at large play astonishing role in enhancement of the general performance and development of logistics industry as well as economic growth in any country [569][570][571][572][573]. Most importantly, delivering on digitalization for large multinational business, in the contemporary context of global operations and real time delivery, is a significant opportunity to logistic industry [574,575].…”

Section: Convergence Of Disruptive Technologies In Healthcarementioning

confidence: 99%

The Hype and Disruptive Technologies of Industry 4.0 in Major Industrial Sectors: A State of the Art

Bongomin¹,

Yemane²,

Kembabazi³

et al. 2020

Preprint

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Very well into the dawn of the fourth industrial revolution (industry 4.0), we 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 in the industrial sectors remains ill-defined in both academic and non-academic literature. The present study aimed at identifying industry 4.0 neologisms, understanding the industry 4.0 disruption and illustrating the disruptive technologies convergence in the major industrial sectors. A total of 99 neologisms of industry 4.0 were identified. Industry 4.0 disruption in 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) are 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 are illustrated.

show abstract

Determination of Changes in Process Management within Industry 4.0

Cited by 26 publications

References 10 publications

Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art

Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art

A Guideline for Implementing a Robust Optimization of a Complex Multi-Stage Manufacturing Process

The Hype and Disruptive Technologies of Industry 4.0 in Major Industrial Sectors: A State of the Art

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