Empowering production workers with digitally facilitated knowledge processes – a conceptual framework

Hannola, Lea; Richter, Alexander; Richter, Shahper; Stocker, Alexander

doi:10.1080/00207543.2018.1445877

Cited by 78 publications

(52 citation statements)

References 63 publications

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“…The growing trend towards a digitalised manufacturing environment is an emerging topic for researchers and practitioners of different fields (Hannola et al 2018). Various European manufacturing industries have invested in an increasing number of activities to develop and explore the potential of digital innovation to support Industry 4.0 in order to remain competitive.…”

Section: Introductionmentioning

confidence: 99%

The impact of Industry 4.0 on the reconciliation of dynamic capabilities: evidence from the European manufacturing industries

Felsberger

Qaiser

Choudhary

et al. 2020

Production Planning & Control

136

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Industry 4.0 offers massive potential for implementing sustainability, which is a growing concern for global manufacturing industries. This paper investigates the impact of the implementation of Industry 4.0 with specific emphasis on digital transformation on the sustainability dimensions of European manufacturing industries. In doing so, we propose a framework to identify the implications of Industry 4.0 on the reconciliation of the firm's existing and new dynamic capabilities, competencies, and market requirements to achieve sustainable competitive advantage. Using a multiple case research design, we study six European manufacturing companies, including aerospace manufacturing (AM) and electronic component and systems (ECS) manufacturing. The novelty of our study lies in developing a set of theoretical propositions that reveals interrelations between Industry 4.0, the dynamic capabilities of the firm and distinct dimensions of sustainability. Our findings show that the reconciliation of dynamic capabilities mediates the impact of Industry 4.0 on economic, environmental, and social aspects. The study provides insights to practitioners to strengthen their dynamic capabilities in order to achieve sustainability while implementing Industry 4.0. Moreover, the findings also facilitate investment decisions in Industry 4.0 projects.

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Section: Introductionmentioning

confidence: 99%

The impact of Industry 4.0 on the reconciliation of dynamic capabilities: evidence from the European manufacturing industries

Felsberger

Qaiser

Choudhary

et al. 2020

Production Planning & Control

136

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“…Transferência de conhecimentos por meio de abordagem técnica para distribuir esses conhecimentos; informações centradas nos trabalhadores e o compartilhamento de conhecimentos mediante abordagem social para a distribuição de conhecimentos; descobertas de conhecimentos por meio de locais de trabalho de fabricação de autoaprendizagem levando em consideração uma abordagem técnica para a criação de conhecimentos; aquisição de conhecimentos por aprendizagem móvel conforme a abordagem social para a criação de conhecimentos [5].…”

Section: Processo De Conhecimentos Digitaisunclassified

“…Os recentes avanços digitais, incluindo o surgimento de softwares sociais 1 ; tecnologias móveis; e a Realidade Aumentada têm oferecido oportunidades promissoras para a capacitação dos trabalhadores do conhecimento em seu ambiente de produção, alavancando os seus processos de conhecimento, as suas habilidades para a tomada de decisão e, também, auxilia nas práticas de interação dos funcionários no ambiente de trabalho [5].…”

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Aplicações da Realidade Aumentada na Manufatura: uma Revisão da Literatura

Bender¹,

Cecconello²

2020

SCI

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No cenário empresarial tem sido cada vez mais comum o emprego de inovações tecnológicas avançadas, mediante o surgimento do conceito de Indústria 4.0, que vem propiciando a otimização dos recursos e elevando a produtividade no setor fabril. Neste contexto, tem-se a Realidade Aumentada, tecnologia habilitadora que utiliza a visualização computacional e o processamento das imagens e das técnicas de computação gráfica. Este estudo teve o objetivo de verificar o estado da arte das aplicações da Realidade Aumentada na Indústria 4.0 por meio de uma revisão sistemática da literatura. Para atingir o objetivo proposto foi desenvolvida uma revisão sistemática da literatura utilizando a base de dados SCOPUS, considerando-se os estudos publicados no período de 2015 a 2020. A Realidade Aumentada é utilizada para aumentar o mundo real por meio de informações digitais, fornecendo uma interação em tempo real com os objetos reais e virtuais. Os resultados da revisão sistemática da literatura indicaram que a Realidade Aumentada se faz presente em várias aplicações na manufatura, incluindo: a criação de manuais virtuais de manutenção; visualização das instruções de trabalho e design de produto; desenvolvimento de modelagens e simulações, com a finalidade de aprimorar continuamente as atividades no setor fabril; para facilitar as atividades dos operadores nos processos fabris e de manutenção; e para auxiliar nas atividades apoiadoras desses processos. Palavras-chave Indústria 4.0, Realidade aumentada, Manufatura.

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“…With Industry 4.0, factory work has been forecasted to change into production strategy creation, supervising self-organizing production processes, and creative problem solving (Gorecky et al 2014). This transition is supported by digitally facilitated knowledge processes that can empower production workers by leveraging their knowledge processes, decision-making skills and social interaction practices (Hannola et al, 2018). Maintenance work is similar to production work in that it has traditionally been "blue-collar work".…”

Section: The Main Rq Of This Dissertation Is: What Factors Influence mentioning

confidence: 99%

Analysis of manual data collection in maintenance context

Mahlamäki¹,

Nieminen²

2019

JQME

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Purpose The purpose of this paper is to identify details of technological, organizational and people (TOP) factors affecting maintenance technicians’ use of computerized maintenance management systems (CMMS) in manual collection of asset data. Design/methodology/approach In addition to TOP factor details, results from six case studies in Finland, India and the Caribbean are presented. Interviews and observations clarify the role of TOP factors in CMMS use in industrial maintenance. Findings In total, 17 detailed TOP factors are identified and criteria for analyzing CMMS contexts with them are defined. Analyzing the cases with these factors reveals that technicians who collect good quality data have received good training and instructions for the CMMS, are competent, and understand how manually collected data benefits them in their own work. However, even these sites struggle with the usability of the CMMS. Research limitations/implications The 17 TOP factors and the criteria for CMMS evaluation extend understanding on context and usability in manual data collection. Case study method does not imply the relative importance of the TOP factors, which calls for future research using quantitative methods. Practical implications Management can use the criteria to analyze the context of manual data collection for improvements, e.g., in CMMS usability. Originality/value Insights from industrial environments and a new way of studying contextual factors of CMMS use are presented. The results extend a data quality research framework with details to manual data collection and define the TOP factors in CMMS context.

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Empowering production workers with digitally facilitated knowledge processes – a conceptual framework

Cited by 78 publications

References 63 publications

The impact of Industry 4.0 on the reconciliation of dynamic capabilities: evidence from the European manufacturing industries

The impact of Industry 4.0 on the reconciliation of dynamic capabilities: evidence from the European manufacturing industries

Aplicações da Realidade Aumentada na Manufatura: uma Revisão da Literatura

Analysis of manual data collection in maintenance context

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