Ergonomics for the inclusion of older workers in the knowledge workforce and a guidance tool for designers

González, Itziar; Morer-Camo, Paz

doi:10.1016/j.apergo.2015.09.002

Cited by 39 publications

(17 citation statements)

References 52 publications

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“…In a manufacturing environment, human operators' functional characteristics are generally related to their capabilities of performing a certain set of tasks, requiring physical and/or cognitive efforts. As demonstrated by some contributions, such capabilities can diminish with ageing (Gonzalez and Morer 2016;Strasser 2018); however, this decrease can have or not have an actual impact on the system's productivity.…”

Section: Analysis and Evaluation Of Ageing Workers' Functional Capacimentioning

confidence: 99%

“…Both Sanders (2016) and Gonzalez and Morer (2016) presented recommendations for the design of support systems. The first one is based on the body of evidence obtained from a multiple case study.…”

Section: Supporting Technologiesmentioning

confidence: 99%

“…Exoskeletons can be unpowered (merely cancelling the effects of gravity) or powered with batteries to boost lifting performances of human operators. Intelligent smart tooling and augmented reality devices can support older workers in remembering information, procedures and correct tool setting during production, thus improving productivity and minimising idle times Ong, Yuan, and Nee 2008;Gonzalez and Morer 2016;Takahashi, Kudo, and Ishiyama 2016).…”

Section: Ergonomics and Latest-generation Equipment For Age-friendly mentioning

confidence: 99%

“…The utilisation of advanced supporting technologies not only provides improved work conditions but also offers workers the opportunity to prolong their careers, as pointed out in Section 2 (Gonzalez and Morer 2016;Borzelli, Pastorelli, and Gastaldi 2017).…”

Section: Research Area 2: Design and Testing Of New Age-friendly Suppmentioning

confidence: 99%

See 3 more Smart Citations

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: Analysis and Evaluation Of Ageing Workers' Functional Capacimentioning

confidence: 99%

Section: Supporting Technologiesmentioning

confidence: 99%

Section: Ergonomics and Latest-generation Equipment For Age-friendly mentioning

confidence: 99%

Section: Research Area 2: Design and Testing Of New Age-friendly Suppmentioning

confidence: 99%

See 2 more Smart Citations

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

“…The relationships of the tools that support the activity and workplace with the user interact should be emphasize. The problem that may occurred during the activity process usually related with the surrounding workspaces and the user that have greater physical needs [1]. In the study by Deros et al [2], only 18.8% of the workers realized the bad consequence of neglecting ergonomics.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Musculoskeletal Disorder Due To Working Postures via Dual Camera Motion Capture System

Ngali

Jemain

Ann

et al. 2018

IJIE

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Ergonomic are known as the study of work. It helps the worker to fit with the environment of the workplace for example the tools, equipment and the work station. Poor ergonomic practice can affect the performance of the worker and the quality of the product besides causing loss to the company. This study have three main purposes which is to establish the optimal set up of the dynamic RULA analysis in UTHM, to compare the performance of static RULA analysis with the current dynamic RULA analysis and to identify the effect of current working posture to the musculoskeletal disorder of the university staffs. The ergonomic tools that was used in this study are Cornell Musculoskeletal Discomfort Questionnaire (CMDQ) and Rapid upper limb assessment (RULA). Besides that, motion captures system and Kinect camera were used for 3D dynamic RULA analysis. Meanwhile, 2D static analysis recorded the video of the subject motion simultaneously to quantitatively compare the result to 3D dynamic analysis. This research found that the 3D dynamic analysis is more accurate compare with the 2D static analysis. This can be proved by comparing the length of the joint point of 2D static analysis and 3D dynamic analysis with the actual length. 3D dynamic method provided 3 axes while the other method only provided 2 axes. 3D dynamic method in this paper was analyzed numerically by a software while 2D static method was analyzed manually by the user and prone to human error and thus not entirely accurate. The result for comparing the performance of the 2D static analysis and 3D dynamic analysis showed that the respondent 1 and 2 have high risk on getting neck pain based on the RULA score. CMDQ analysis showed that the body part of respondent 1 and 2 that are most probably affected by MSD was leg.

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Virtualization of the Human in the Digital Factory

Regazzoni¹,

Rizzi²

2019

Systems Engineering in the Fourth Industrial Revolution

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Ergonomics for the inclusion of older workers in the knowledge workforce and a guidance tool for designers

Cited by 39 publications

References 52 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

Analysis of Musculoskeletal Disorder Due To Working Postures via Dual Camera Motion Capture System

Virtualization of the Human in the Digital Factory

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