Towards Industry 4.0 Utilizing Data-Mining Techniques: A Case Study on Quality Improvement

Oliff, Harley; Liu, Ying

doi:10.1016/j.procir.2017.03.311

Cited by 74 publications

(40 citation statements)

References 29 publications

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“…1 Similar ideas have also been discussed in other industrial countries, such as "Internet +" in China, "the fourth industrial revolution" in Korea, "Factories of the Future" in Europe, and "Industrial Internet" in the USA. 2,3 The key idea of I 4.0 is to make existing industries intelligent enough to identify the need for a significant reduction in faults and short-cycle adaptation for higher productivity to increase economic benefits. Industry 4.0 will serve as a conceptual base for intelligent realizing and controlling physical production processes locally as well as globally by using advance ICTs.…”

Section: Introductionmentioning

confidence: 99%

Bio‐inspired routing protocol for WSN‐based smart grid applications in the context of Industry 4.0

Faheem

Butt

Raza

et al. 2018

Trans Emerging Tel Tech

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Recently, the advences of Industry 4.0 have paved the way for a systematical deployment of the smart grid (SG) to manage continuously growing energy demand of the 21st century. This even allows the fourth stage of the industrial revolution in the power sector, which is known as the smart grid industry (SGI) 4.0. In SGI 4.0, the industrial wireless sensor networks (WSNs) and the Internet of Things are envisioned as key promising communication technologies for monitoring various SG applications due to their large-scale coverage, fault tolerance characteristics, and cost reduction. However, highly dynamic nature of the SG environments brings several unique challenges caused by systems and operating devices. This results in hampering the quality-of-service communication requirements for WSNs-based SG applications. In SGI 4.0, the routing infrastructure not only requires a reliable but also fulfills the communication requirements of diverse SG applications. Thus, a sophisticated, reliable and QoS-aware multi-hop communications network architecture enabling a real-time exchange of data for various WSNs-based SG applications is essential in SGI 4.0. Hence, this paper proposes a novel bio-inspired self-optimized butterfly mating optimization-based data gathering routing scheme called Self-optimized Intelligent routing protocol (SIRP) for WSNs-based SG applications. The extensive simulations reveal that the proposed scheme achieves its defined goals compared to existing routing schemes designed for WSNs-based applications.Trans Emerging Tel Tech. 2019;30:e3503.wileyonlinelibrary.com/journal/ett streamline management operations are connected using wired networks working over industrial protocols in traditional factories. However, compared with a wired network, the wireless networking solution plays a complementary role to empower control and management competencies of the factory elements in I 4.0. To this end, industrial wireless sensor networks (IWSNs) are envisioned as a valuable technology to realize the vision of I 4.0 because of their low-cost sensing, identifying, processing, and networking capabilities. The IWSNs provide physical industry world information to a user located in a remote location to realize distinct objectives. 10,11 The fundamental characteristics of IWSN-based networking solution in I 4.0 is to provide least maintenance cost by avoiding excessive breakdowns in a defined time interval for enabling smart production reliability and increasing economic benefits. Therefore, IWSN, with these aims, has revealed its prominence in various industrial applications, including modern agriculture, transportation, steel mills, healthcare systems, area surveillance, gas and oil industry, and many others. 12,13 The quality-of-service (QoS)-aware cooperative multihop communication in IoT-enabled smart grid (SG) is highly dependent on a number of performance metrics like coverage, scalability, stability, latency, lifetime, and complexity of the network. In IoT-enabled SG, IWSNs through IoT connect various industrial ...

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Section: Introductionmentioning

confidence: 99%

Bio‐inspired routing protocol for WSN‐based smart grid applications in the context of Industry 4.0

Faheem

Butt

Raza

et al. 2018

Trans Emerging Tel Tech

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show abstract

“… The main ideas of the term Industry 4.0 were first discussed in 2011 at the Hannover Fair as a high‐tech strategy for 2020 in Germany . Similar ideas have been discussed in other industrial countries, such as “Internet +” in China, “The Fourth Industrial Revolution” in Korea, “Factories of the Future” in Europe, and “Industrial Internet” in the United States . Despite the great interest in the concept of Industry 4.0, it has become a hot spot for most global industries in recent years.…”

Section: Key Driving Technologies For Industry 40mentioning

confidence: 99%

“…28 Similar ideas have been discussed in other industrial countries, such as "Internet +" in China, "The Fourth Industrial Revolution" in Korea, "Factories of the Future" in Europe, and "Industrial Internet" in the United States. 29,30 Despite the great interest in the concept of Industry 4.0, it has become a hot spot for most global industries in recent years. The charm of Industry 4.0 paradigm is twofold.…”

Section: Key Driving Technologies For Industry 40mentioning

confidence: 99%

Industrial wireless sensor and actuator networks in industry 4.0: Exploring requirements, protocols, and challenges—A MAC survey

Raza

Faheem

Guenes

2019

Int J Communication

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Summary The vision to connect everyday physical objects to the Internet promises to create the Internet of Things (IoT), which is expected to integrate the diverse technologies such as sensors, actuators, radio frequency identification, communication technologies, and Internet protocols. Thus, IoT promises to transfer traditional industry to advance digital industry known as the Industry 4.0. At the core of the Industry 4.0 are the wireless sensor networks (WSNs) and wireless sensor and actuator networks (WSANs) that led to the development of industrial wireless sensor networks (IWSNs) and industrial wireless sensor and actuator networks (IWSANs). These networks play a central role of connecting machines, parts, products, and humans and create a diverse set of new applications to support intelligent and autonomous decision making. The IWSAN is a promising technology for numerous industrial applications because of their several potential benefits such as simple deployment, low cost, less complexity, and mobility support. However, despite such benefits, they impose several unique challenges at different layers of the protocol stack when deploying them for various monitoring and control applications in the Industry 4.0. In this article, we explore IWSAN, its applications, requirements, challenges, and solutions in the context of industrial control applications. Our main focus is on the medium access control (MAC) layer that can be exploited to satisfy such requirements. Our discussion presents extensive background study of the MAC schemes and it reviews the MAC protocols of the existing wireless standards and technologies. A number of application‐specific MAC protocols developed to support industrial applications, which are not part of these standards, are also elaborated. We rationalize to what extent the existing standards and protocols help in solving such requirements as laid down by the Industry 4.0. In the end, we emphasize on existing challenges and present important future directions.

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“…Intelligent manufacturing makes use of advanced computational technologies and the advancements in digital systems and machine learning processes to support decision-making, run self- Ten major technologies for i2M (Chen, 2017). sufficiently via networks of distributed control, and to self-adjust and self-correct should problems arise (Oliff and Liu, 2017). Systems' theory, communications, and nanotechnologies, all characterized by solid formal supports, have contributed decisively to a transition from the C2 paradigm (Computer-Control) to the C4 paradigm (Computer, Communication, Cognition for Control) (Dumitrache, 2008).…”

Section: Intelligent Manufacturingmentioning

confidence: 99%

Advanced Manufacturing Processes and Technologies

Brocal

Sebastián

González

2019

Management of Emerging Public Health Issues and Risks

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Towards Industry 4.0 Utilizing Data-Mining Techniques: A Case Study on Quality Improvement

Cited by 74 publications

References 29 publications

Bio‐inspired routing protocol for WSN‐based smart grid applications in the context of Industry 4.0

Bio‐inspired routing protocol for WSN‐based smart grid applications in the context of Industry 4.0

Industrial wireless sensor and actuator networks in industry 4.0: Exploring requirements, protocols, and challenges—A MAC survey

Advanced Manufacturing Processes and Technologies

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