Education and training in coordinate metrology for industry towards digital manufacturing

Rocha, Luís A.; Savio, Enrico; Marxer, Michael; Ferreira, Fernando

doi:10.1088/1742-6596/1044/1/012026

Cited by 6 publications

(7 citation statements)

References 5 publications

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“…Enke et al (2018) How to extend to new devices, in addition to desktops or laptops, the blended learning approach in university and industrial teaching environments, using various platforms, such as smartphones and tablets connected to the wireless network infrastructure, to promote learning inside and outside the industry? Rocha et al (2018) Future studies may seek more knowledge about the application of debriefing in industrial education associated with simulation processes, in particular in the context of teaching and learning Tvenge and Ogorodnyk (2018) How to combine online learning and face-to-face training for production managers, production line leaders and production operators in developing theoretical and practical training in the principles of Industry 4.0? Yang et al (2018) Future studies on manufacturing systems can address: Innovation and design of manufacturing systems, Models and enablers of product variety, New organization concepts for changeable manufacturing systems, Models and enablers for changeable production planning and control for changes in market demands, Concepts and solutions for process planning for product and system variants Wagner et al (2012) How to integrate shop floor and top-floor processes in cloudbased services in small and micro-enterprises into a holistic view of learning?…”

Section: Questions and Research Directions Authorsmentioning

confidence: 99%

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

Belinski

Peixe

Frederico

et al. 2020

BIJ

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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: Questions and Research Directions Authorsmentioning

confidence: 99%

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

Belinski

Peixe

Frederico

et al. 2020

BIJ

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“…Still, the intensive use of automation, data exchange and advanced manufacturing technologies are requiring better coordination of operations, especially when dealing with new measuring technologies supporting digital manufacturing. Consequently, new opportunities based on innovative measuring technologies and procedures for metrological quality assurance and control are also emerging [79]. In this sense, the case study analyzed later will describe the case of an SME developing metrological solutions to other aerospace industry clients.…”

Section: Supply Chain Management and The Aerospace Sectormentioning

confidence: 99%

Standardizing Innovation Management: An Opportunity for SMEs in the Aerospace Industry

et al. 2019

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In a globalized marketplace, the competition in the aerospace industry has increased significantly. Producers can choose between many suppliers. These suppliers have to comply with more requirements and technical specifications, as well as take on greater responsibilities that originally fell on producers. In this context, business opportunities for small and medium-sized enterprises (SMEs) are limited, but still suppliers must try to leverage the maximum strategic advantage of the few that present. Adopting research, development and innovation (R+D+i) practices has proven to bring great benefits to companies and allows them to gain significant competitive advantages. However, the process of designing, implementing and testing R+D+i-related processes is not straightforward, nor it has been addressed in the recent research on SMEs. In this paper, a case study of a Spanish innovative small company providing industrial metrology and quality services is analyzed. Thanks to an internal decision-making process, an R+D+i management system based on the UNE 166.002:2014 standard is eventually adopted. A pilot project is closely followed up to test the robustness of the system implementation. The R+D+i management system has allowed the company to streamline its innovation activities, establish objectives to better allocate essential resources, organize high performing innovation units within the organization structure, increase the clients’ confidence, improve the company’s competitiveness, carry out technological surveillance, and get more patented technology, among many others. Adoption steps taken by this SME are generalizable to other SMEs from other industries and show how an R+D+i management system can be chosen, designed, implemented and tested in the context of Industry 4.0 (I4.0).

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“…To implement this scenario, training employees and managers at all hierarchical levels becomes increasingly important (Perini et al, 2017). According to Kagermann et al (2013), Popkova and Zmiyak (2019) and Rocha et al (2018), training and continuous professional development are considered priority actions for the implementation and development of Industry 4.0.…”

Section: Introductionmentioning

confidence: 99%

“…According to Kagermann et al. (2013), Popkova and Zmiyak (2019) and Rocha et al. (2018), training and continuous professional development are considered priority actions for the implementation and development of Industry 4.0.…”

Section: Introductionmentioning

confidence: 99%

Main challenges and best practices to be adopted in management training for Industry 4.0

Cazeri

Santa-Eulalia²,

Fioravanti³

et al. 2022

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PurposeThe objectives of this study are twofold: identify the main challenges in performing training on Industry 4.0 concepts to managers operating in the manufacturing sector who are not familiar with them but aspire for an Industry 4.0 broad view and validate training practices that can be adopted to reduce managerial knowledge differences.Design/methodology/approachA Delphi method was carried out in two rounds to identify the Industry 4.0 training challenges and a Fuzzy Delphi method was applied in one round to validate the training practices. Both methods used the same set of participants composed of experts in training for Industry 4.0. Results were discussed considering literature statements.FindingsIn total, 11 challenges in Industry 4.0 training were identified and grouped into: challenges associated with the necessary knowledge, challenges of breaking paradigm, challenges associated with training characteristics and challenges associated with expected results. In total, 11 training practices were directly validated, including actions to be adopted before, during, and after the training process.Originality/valueThe findings are relevant for professionals, academics, or consultants as the findings enable better training planning and execution. No similar papers were found in scientific databases, reinforcing this present study's originality and contribution.

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Education and training in coordinate metrology for industry towards digital manufacturing

Cited by 6 publications

References 5 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

Standardizing Innovation Management: An Opportunity for SMEs in the Aerospace Industry

Main challenges and best practices to be adopted in management training for Industry 4.0

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