Empowering and Engaging Solutions for Operator 4.0 – Acceptance and Foreseen Impacts by Factory Workers

Kaasinen, Eija; Aromaa, Susanna; Heikkilä, Päivi; Liinasuo, Marja

doi:10.1007/978-3-030-30000-5_75

Cited by 7 publications

(10 citation statements)

References 10 publications

(15 reference statements)

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“…Most studies (86% of papers) approached the impact of I4.0 technologies on KM at an organisation level (e.g. Manesh et al ., 2020; Kaasinen et al. , 2019).…”

Section: Resultsmentioning

confidence: 99%

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Identifying Industry 4.0 technologies enablers for knowledge management – a scoping review

Lista

Tortorella

Bouzon

et al. 2023

TQM

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PurposeThis paper aims at identifying the main contributions of Industry 4.0 (I4.0) technologies to the enhancement of knowledge management (KM).Design/methodology/approachA scoping review based on two stages was carried out. In the first stage, a numerical and descriptive analysis was conducted. In the second stage, the latent content of those papers was explored through a qualitative analysis, in which papers were assessed regarding the outcome of the implementation of ten I4.0 technologies on 14 KM abilities and 6 KM processes.FindingsSix technologies (e.g. Internet of Things (IoT), big data, cloud computing, simulation, visualisation and industrial robot) were claimed to have a significant contribution on KM, especially for creation, organisation, dissemination and application processes. Overall, results indicated that technologies can significantly contribute to KM, although the extent of such contribution varies across technologies, learning levels, KM processes and abilities.Originality/valueExisting studies in I4.0 fall short in exploring how embodied knowledge is articulated in practice, especially regarding opportunities to use new technological alternatives in favour of knowledge and learning development. This study complements the existing literature on I4.0 by identifying which technologies can contribute to KM. Also, a framework was proposed to examine the contribution of I4.0 technologies to KM at individual, team, and organisational levels.

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“…Most studies (86% of papers) approached the impact of I4.0 technologies on KM at an organisation level (e.g. Manesh et al ., 2020; Kaasinen et al. , 2019).…”

Section: Resultsmentioning

confidence: 99%

“…Most studies (86% of papers) approached the impact of I4.0 technologies on KM at an organisation level (e.g. Manesh et al, 2020;Kaasinen et al, 2019). However, the majority of I4.0 technologies are associated with more than one learning level (59% of papers), which indicates their wide range of application.…”

Section: Km Abilitiesmentioning

confidence: 99%

Identifying Industry 4.0 technologies enablers for knowledge management – a scoping review

Lista

Tortorella

Bouzon

et al. 2023

TQM

View full text Add to dashboard Cite

show abstract

“…Lastly, the most fascinating way of building the workforce of industry 4.0 technologies is the ability to harness the Operator 4.0 concept [231].…”

Section: Building Skills Into the Workforce Of Industry 40mentioning

confidence: 99%

Exponential Disruptive Technologies and the Required Skills of Industry 4.0

Bongomin

Ocen

Nganyi

et al. 2020

Journal of Engineering

135

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The 21st century has witnessed precipitous changes spanning from the way of life to the technologies that emerged. We have entered a nascent paradigm shift (industry 4.0) where science fictions have become science facts, and technology fusion is the main driver. Thus, ensuring that any advancement in technology reach and benefit all is the ideal opportunity for everyone. In this study, disruptive technologies of industry 4.0 were explored and quantified in terms of the number of their appearances in published literature. The study aimed at identifying industry 4.0 key technologies which have been ill-defined by previous researchers and to enumerate the required skills of industry 4.0. Comprehensive literature survey covering the field of engineering, production, and management was done in multidisciplinary databases: Google Scholar, Science Direct, Scopus, Sage, Taylor & Francis, and Emerald Insight. From the electronic survey, 35 disruptive technologies were quantified and 13 key technologies: Internet of Things, Big Data, 3D printing, Cloud computing, Autonomous robots, Virtual and Augmented reality, Cyber-physical system, Artificial intelligence, Smart sensors, Simulation, Nanotechnology, Drones, and Biotechnology were identified. Both technical and personal skills to be imparted into the human workforce for industry 4.0 were reported. The review identified the need to investigate the capability and the readiness of developing countries in adapting industry 4.0 in terms of the changes in the education systems and industrial manufacturing settings. This study proposes the need to address the integration of industry 4.0 concepts into the current education system.

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“…Psychosocial parameters measurement [16,28,37,39,[90][91][92][93][94][95][96] Integration of psychosocial risks in decision system [2,13,37,[45][46][47]50,53,[97][98][99][100][101][102][103][104] This section introduces a specific analysis of each class of health objective.…”

Section: Psychosocial Constraintsmentioning

confidence: 99%

“…Feedback from workers is needed in order to evaluate psychosocial risks on the workshop floor because there is no objective measure to determine well-being. The implication of workers in the designing process reduces the insecurity risks linked with the integration of new technologies because workers have a better understanding of the human-machine collaboration and have an impact on the development of their tools [90,93]. The integration of human-in-the-loop simulation inside the process control of CPPS objectives is to provide assistance systems in order to benefit from human competencies and capacities, while simultaneously respecting human limits [101].…”

Section: Integration Of Psychosocial Risks In the Decision Systemmentioning

confidence: 99%

Health-Related Parameters for Evaluation Methodologies of Human Operators in Industry: A Systematic Literature Review

et al. 2021

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Human factors have always been an important part of research in industry, but more recently the idea of sustainable development has attracted considerable interest for manufacturing companies and management practitioners. Incorporating human factors into a decision system is a difficult challenge for manufacturing companies because the data related to human factors are difficult to sense and integrate into the decision-making processes. Our objectives with this review are to propose an overview of the different methods to measure human factors, of the solutions to reduce the occupational strain for workers and of the technical solutions to integrate these measures and solutions into a complex industrial decision system. The Scopus database was systematically searched for works from 2014 to 2021 that describe some aspects of human factors in industry. We categorized these works into three different classes, representing the specificity of the studied human factor. This review aims to show the main differences between the approaches of short-term fatigue, long-term physical strain and psychosocial risks. Long-term physical strain is the subject that concentrates the most research efforts, mainly with physical and simulation techniques to highlight physical constraints at work. Short-term fatigue and psychosocial constraints have become a growing concern in industry due to new technologies that increase the requirements of cognitive activities of workers. Human factors are taking an important place in the sustainable development of industry, in order to ameliorate working conditions. However, vigilance is required because health-related data creation and exploitation are sensible for the integrity and privacy of workers.

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Empowering and Engaging Solutions for Operator 4.0 – Acceptance and Foreseen Impacts by Factory Workers

Cited by 7 publications

References 10 publications

Identifying Industry 4.0 technologies enablers for knowledge management – a scoping review

Identifying Industry 4.0 technologies enablers for knowledge management – a scoping review

Exponential Disruptive Technologies and the Required Skills of Industry 4.0

Health-Related Parameters for Evaluation Methodologies of Human Operators in Industry: A Systematic Literature Review

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