Sustainable and flexible industrial human machine interfaces to support adaptable applications in the Industry 4.0 paradigm

Ardanza, Aitor; Moreno, Aitor; Segura, Álvaro; Cruz, Mikel de la; Aguinaga, Daniel

doi:10.1080/00207543.2019.1572932

Cited by 92 publications

(36 citation statements)

References 12 publications

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“…The integration of IT and collaborative technologies and their level of complexity need further investigation to create smart, user-centred design solutions that are simple enough to build senior-enabled workplaces at affordable investment costs (EC 2015a; Battaïa et al 2018). In particular, the promising application of Internet of Things paradigms to industry can be useful in this sense (Atzori, Iera, and Morabito 2010;Bi, Da Xu, and Wang 2014;Ardanza et al 2019). Such workplaces should make greater use of augmented reality and VR, coupled with ergonomic simulation (as emphasised in Section 3) and supported by new age-oriented ergonomics assessment methods (Garbie 2014;Kong 2018;Yin, Stecke, and Li 2018).…”

Section: Research Area 4: New Age-friendly User-centred Workpace Dementioning

confidence: 99%

Ageing workforce management in manufacturing systems: state of the art and future research agenda

Calzavara

Battini

Bogataj

et al. 2019

International Journal of Production Research

140

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The workforce ageing phenomenon is recently affecting most of the Organisation for Economic Co-operation and Development (OECD) member countries, due to a general ageing of their populations and a higher average retirement age of the workforce. In this paper, the topic of ageing workforce management is addressed from a production research standpoint, with the aim of understanding how older workers can be supported and involved in a manufacturing system. First, the current state of the art related to the ageing workforce in production systems is presented. This is structured according to four main topics: (1) analysis and evaluation of ageing workers' functional capacities, (2) consideration of ageing workers' capacities in industrial system modelling and management, (3) analysis and exploitation of ageing workers' expertise, (4) acknowledgement, analysis, design and integration of supporting technologies. Next, the discussion on the impact of the ageing workforce on manufacturing systems' performances leads to the comparison of some technological advances that are related to the Industry 4.0 paradigms. Finally, a future research agenda on this topic is proposed, based on the same topics classification proposed for the literature analysis. Five different research areas are derived, suggesting future directions for appropriate research concerning the employ of older workers in production environments.

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Section: Research Area 4: New Age-friendly User-centred Workpace Dementioning

confidence: 99%

Ageing workforce management in manufacturing systems: state of the art and future research agenda

Calzavara

Battini

Bogataj

et al. 2019

International Journal of Production Research

140

View full text Add to dashboard Cite

show abstract

“…Today, computer numerical control (CNC) machine tools, one of widely used processing equipment on the shop floor, transform the raw material into a complete part, which has free-from or sculptured surfaces, needed to make a product with a numerical control (NC) part program [24]. Conventionally, while setting up and running a machine tool on a machining shop floor, operators can monitor operational data via a specific human machine interface (HMI) of the machine tool and are responsible for checking an operational status and changing work pieces after machining a part [25]. Thus, to increase the utilization of machine tools, the operators have to visit their shop floor all the time [14].…”

Section: Introductionmentioning

confidence: 99%

A Low-Cost Vision-Based Monitoring of Computer Numerical Control (CNC) Machine Tools for Small and Medium-Sized Enterprises (SMEs)

Kim

Jung

Choi

et al. 2019

Sensors

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In the new era of manufacturing with the Fourth Industrial Revolution, the smart factory is getting much attention as a solution for the factory of the future. Despite challenges in small and medium-sized enterprises (SMEs), such as short-term strategies and labor-intensive with limited resources, they have to improve productivity and stay competitive by adopting smart factory technologies. This study presents a novel monitoring approach for SMEs, KEM (keep an eye on your machine), and using a low-cost vision, such as a webcam and open-source technologies. Mainly, this idea focuses on collecting and processing operational data using cheaper and easy-to-use components. A prototype was tested with the typical 3-axis computer numerical control (CNC) milling machine. From the evaluation, availability of using a low-cost webcam and open-source technologies for monitoring of machine tools was confirmed. The results revealed that the proposed system is easy to integrate and can be conveniently applied to legacy machine tools on the shop floor without a significant change of equipment and cost barrier, which is less than $500 USD. These benefits could lead to a change of monitoring operations to reduce time in operation, energy consumption, and environmental impact for the sustainable production of SMEs.

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“…In the opportunity group "Identifying and assessing the impacts of implementing I4.0 on TBL", research should be carried out to analyze the possibilities of reducing energy consumption through Man-Machine integration. Economy of resources should also be a goal, taking advantage of machinery the organization already has, without the need to acquire technologies with high added value [125]. In the opportunity "Identifying S4.0 contributions to governments, industries and people", research should be carried out that provides, through IoT and Cloud Computing, sustainable home environments, by automating household items and integrating them into easily-managed networks.…”

Section: Research Challenges Authorsmentioning

confidence: 99%

Striding towards Sustainability: A Framework to Overcome Challenges and Explore Opportunities through Industry 4.0

et al. 2021

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Sustainability 4.0 (S4.0) enables sustainable development through intelligent technologies to meet economic, environmental and social demands. The main objective of this article is to propose a framework for developing S4.0 in sectors of Triple Helix (TH) (Government, Organizations and Academy). The framework consists of benchmarking of policies and initiatives from the Science-Technology Scenario in S4.0 (STS-S4.0) and the author's experience. The STS-4.0 is a snapshot of relevant initiatives from the countries that performed best in science and technology in S4.0. This work uses the methods of bibliometric studies and content analysis of scientific articles from the Scopus database and patents publications from the Orbit database. This research resulted in a total of 19 propositions for developing sustainability through I4.0. Of these, eight are for Government, six for Organizations and five for Academy. The main scientific contribution of this work is to expand and deepen the recent block of knowledge on S4.0. As for the applied contribution, this work contributes to the conscious and sustainable development of humanity through the technological elements of I4.0, contributing to the achievement of the following SDGs proposed by the UN: 9 (Industries, Innovation and Infrastructure), 11 (Sustainable Cities and Communities) and 13 (Climate Action). The main novelty of this article is the creation of paths for Government, Organizations and Academy to interactively lead the development of global sustainability through the smart technologies of I4.0.

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Sustainable and flexible industrial human machine interfaces to support adaptable applications in the Industry 4.0 paradigm

Cited by 92 publications

References 12 publications

Ageing workforce management in manufacturing systems: state of the art and future research agenda

Ageing workforce management in manufacturing systems: state of the art and future research agenda

A Low-Cost Vision-Based Monitoring of Computer Numerical Control (CNC) Machine Tools for Small and Medium-Sized Enterprises (SMEs)

Striding towards Sustainability: A Framework to Overcome Challenges and Explore Opportunities through Industry 4.0

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