SEPT Learning Factory for Industry 4.0 Education and Applied Research

Elbestawi, M.A.; Centea, Dan; Singh, Ishwar; Wanyama, Tom

doi:10.1016/j.promfg.2018.04.025

Cited by 82 publications

(32 citation statements)

References 17 publications

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“…printing, RFID, Augmented reality, Internet of Things, Cyber-physical systems, assistance systems, Raspberry Pi, with the intent of promoting integration among automated systems (Elbestawi et al, 2018). Starting from cyber-physical systems, a partial reversion of Taylorism (Reverse Taylor) will be possible, affirm Bauernansl et al 2018 In energy intensive production industries, developing competencies for reduction of energy consumption may become a competitive advantage, according to Kaluza et al (2015).…”

Section: [Table 5 -Insert Here]mentioning

confidence: 99%

Organizational learning and Industry 4.0: findings from a systematic literature review and research agenda

Belinski

Peixe

Frederico

et al. 2020

BIJ

100

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PurposeIndustry 4.0 has been one of the most topics of interest by researches and practitioners in recent years. Then, researches which bring new insights related to the subjects linked to the Industry 4.0 become relevant to support Industry 4.0's initiatives as well as for the deployment of new research works. Considering “organizational learning” as one of the most crucial subjects in this new context, this article aims to identify dimensions present in the literature regarding the relation between organizational learning and Industry 4.0 seeking to clarify how learning can be understood into the context of the fourth industrial revolution. In addition, future research directions are presented as well.Design/methodology/approachThis study is based on a systematic literature review that covers Industry 4.0 and organizational learning based on publications made from 2012, when the topic of Industry 4.0 was coined in Germany, using data basis Web of Science and Google Scholar. Also, NVivo software was used in order to identify keywords and the respective dimensions and constructs found out on this research.FindingsNine dimensions were identified between organizational learning and Industry 4.0. These include management, Industry 4.0, general industry, technology, sustainability, application, interaction between industry and the academia, education and training and competency and skills. These dimensions may be viewed in three main constructs which are essentially in order to understand and manage learning in Industry 4.0's programs. They are: learning development, Industry 4.0 structure and technology Adoption.Research limitations/implicationsEven though there are relatively few publications that have studied the relationship between organizational learning and Industry 4.0, this article makes a material contribution to both the theory in relation to Industry 4.0 and the theory of learning - for its unprecedented nature, introducing the dimensions comprising this relation as well as possible future research directions encouraging empirical researches.Practical implicationsThis article identifies the thematic dimensions relative to Industry 4.0 and organizational learning. The understanding of this relation has a relevant contribution to professionals acting in the field of organizational learning and Industry 4.0 in the sense of affording an adequate deployment of these elements by organizations.Originality/valueThis article is unique for filling a gap in the academic literature in terms of understanding the relation between organizational learning and Industry 4.0. The article also provides future research directions on learning within the context of Industry 4.0.

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Section: [Table 5 -Insert Here]mentioning

confidence: 99%

Organizational learning and Industry 4.0: findings from a systematic literature review and research agenda

Belinski

Peixe

Frederico

et al. 2020

BIJ

100

View full text Add to dashboard Cite

show abstract

“…With respect to education, not only skills of workers are a recurrent topic but also learning factories, which are connected with the concepts of digitalization and smart factory Elbestawi et al 2018;Issa et al 2017;Prinz et al 2017). Pereira and Romero (2017) state that skills development, which will lead to demographic and social changes, is one of the most important key factors for a successful adoption and implementation of the Industry 4.0 framework.…”

Section: Resultsmentioning

confidence: 99%

“…He discusses learning and education as well as game-based learning and gamification. Elbestawi et al (2018) is concerned with existing learning factories that cover a variety of learning environments. Additionally, he describes the SEPT Learning Factory for Industry 4.0 Education and Applied Research.…”

Section: Resultsmentioning

confidence: 99%

Consequences of Industry 4.0 in Business and Economics

et al. 2018

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Abstract:The introduction of information technology into all aspects of our lives has brought forth qualitative and quantitative changes on such a large scale that this process has come to be known as the Fourth Industrial Revolution, or Industry 4.0. The aim of this paper is to fill in the gaps and provide an overview of studies dealing with Industry 4.0 from the business and economic perspectives. A scoping review is performed regarding business, microeconomic and macroeconomic economic problems. Four investigators performed a literature search of the Web of Science, Scopus, and Science Direct. The selected period spanned from 2014 to 2018, and the following keywords were used for the search: Industry 4.0, economics, economic development, production economics, and financial sector. A total of 2275 results were returned. In all, 67 full papers were screened. Results obtained from the relevant studies were, furthermore, divided into the following categories: work and skills development; economy growth and macroeconomic aspect; sustainability; intelligent manufacturing; policy; and change in business processes. Findings show that the aspects of work and skills development, smart technology adoption, intelligent manufacturing, and digitalization are very well described. The government and its policies usually play the role of a needed supportive element. Usually studies lack a coherent view of the topic in question and solve partial questions.

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“…Numerous papers exist about learning factories focusing on Industry 4.0. These factories have different look and purpose and they demonstrate different implementation aspects [21] [22] [23] [24] [25]. There are reviews demonstrating the existing approaches of learning factories available in academia and industry [26] [27] [28] [29].…”

Section: Industry 40 and Learning Factoriesmentioning

confidence: 99%

Digital factory in the University of Pannonia Nagykanizsa Campus - the Factory Subsystem

Bakon

Skrop

Jaskó

et al. 2019

Anal. Tech. Szeged.

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One of the new challenges of the 21st century is the Industry 4.0. Manufacturing companies moving away from mass production and getting closer to customized production and manufacturing of customized products through digitization. The expectations are high, meeting the requirements is a real challenge to industrial partners. In order to help meet the challenges the University of Pannonia Nagykanizsa Campus started to establish a fully automatized industrial laboratory. In this paper the architecture of the Industry 4.0 laboratory and the purpose of the Factory Subsystem is presented.

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SEPT Learning Factory for Industry 4.0 Education and Applied Research

Cited by 82 publications

References 17 publications

Organizational learning and Industry 4.0: findings from a systematic literature review and research agenda

Organizational learning and Industry 4.0: findings from a systematic literature review and research agenda

Consequences of Industry 4.0 in Business and Economics

Digital factory in the University of Pannonia Nagykanizsa Campus - the Factory Subsystem

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