Utilizing the Internet of Things (IoT) Technologies in the Implementation of Industry 4.0

Zawra, Labib M.; Mansour, Hala A.; El-Din, Adly Tag; Messiha, Nagy W.

doi:10.1007/978-3-319-64861-3_75

Cited by 17 publications

(8 citation statements)

References 15 publications

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“…Our empirical analyses (focus groups) confirmed most of the barriers identified by previous literature (e.g., Qiao and Wang 2012;Hatler 2012;Koch et al 2014;Zawra et al 2017;Müller et al 2018) (see Table 9.4).…”

Section: Discussionsupporting

confidence: 85%

Implementing Industry 4.0 in SMEs: A Focus Group Study on Organizational Requirements

Orzes

Poklemba

Towner

2020

Industry 4.0 for SMEs

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Section: Discussionsupporting

confidence: 85%

Implementing Industry 4.0 in SMEs: A Focus Group Study on Organizational Requirements

Orzes

Poklemba

Towner

2020

Industry 4.0 for SMEs

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“…We excluded at this stage all papers that do not provide insights on the obstacles and barriers in Industry 4.0 implementation and which were written in other languages than English and German (we included as inclusion criteria also papers in German as Industry 4.0 concept was initially conceptualized in this country). The final sample consisted of 17 papers [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22]. In addition, we added to the identified works also the following 3 studies from World Economic Forum [23], Deloitte [24] and IBM [25] found in the database Google Scholar as they address relevant content for our study.…”

Section: Literature Reviewmentioning

confidence: 99%

Industry 4.0 Implementation Barriers in Small and Medium Sized Enterprises: A Focus Group Study

Orzes

Rauch

Bednár

et al. 2018

2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

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The attention devoted to Industry 4.0 by scholars, managers and policy makers has grown exponentially in the last few years. The goal of this paper is to empirically investigate the main barriers and difficulties faced by small and medium sized enterprises in Industry 4.0 implementation. We perform a systematic literature review on the topic and conduct some focus group studies in four countries (USA, Italy, Austria, and Thailand). We identify a set of barriers and obstacles and classified them into six categories: economic-financial, cultural, competencies/ resources, technical, legal, and implementation process. The results of the study have significant implications for both scientific research and management practice.

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“…The main barrier to the current IIoT technological availability is the lack of widespread standards [ 75 , 76 ] and the difficulties in guaranteeing the same level of reliability and security of currently operating wired infrastructures [ 77 ].…”

Section: Main Limitation Towards Refinery 40mentioning

confidence: 99%

Refinery 4.0, a Review of the Main Challenges of the Industry 4.0 Paradigm in Oil & Gas Downstream

Olaizola

Quartulli

Unzueta

et al. 2022

Sensors

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Industry 4.0 concept has become a worldwide revolution that has been mainly led by the manufacturing sector. Continuous Process Industry is part of this global trend where there are aspects of the “fourth industrial revolution” that must be adapted to the particular context and needs of big continuous processes such as oil refineries that have evolved to control paradigms supported by sector-specific technologies where big volumes of operation-driven data are continuously captured from a plethora of sensors. The introduction of Artificial Intelligence techniques can overcome the current limitations of Advanced Control Systems (mainly MPCs) by providing better performance on highly non-linear and complex systems and by operating with a broader scope in terms of signals/data and sub-systems. Moreover, the state of the art of traditional PID/MPC based solutions is showing an asymptotic improvement that requires a disruptive approach in order to reach relevant improvements in terms of efficiency, optimization, maintenance, etc. This paper shows the key aspects in oil refineries to successfully adopt Big Data and Machine Learning solutions that can significantly improve the efficiency and competitiveness of continuous processes.

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Utilizing the Internet of Things (IoT) Technologies in the Implementation of Industry 4.0

Cited by 17 publications

References 15 publications

Implementing Industry 4.0 in SMEs: A Focus Group Study on Organizational Requirements

Implementing Industry 4.0 in SMEs: A Focus Group Study on Organizational Requirements

Industry 4.0 Implementation Barriers in Small and Medium Sized Enterprises: A Focus Group Study

Refinery 4.0, a Review of the Main Challenges of the Industry 4.0 Paradigm in Oil & Gas Downstream

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