Manufacturing Ergonomics refers to the application of ergonomic principles to manufacturing tasks in order to optimize workers’ actions and prevent musculoskeletal disorder (MSD), which has been demonstrated to have a great economic impact on both companies and societies. Traditional approaches are based on the observation of individual workers performing their jobs, the detection of unnatural postures (e.g. bending, twisting, overextending, rotating), and the definition of corrective actions according to ergonomic guidelines. Virtual prototypes and Digital Human Models (DHMs) are recently used to simulate ergonomic performance on virtual manikins operating in digital workplaces and optimize the workstation design before creation. However, actual tools do not allow the evaluation of both physical and cognitive ergonomics, do not include the subjective impressions of workers, and do not consider the workers’ needs and capabilities. The present paper defines a protocol analysis to investigate both functional and cognitive ergonomic performance of workers within an immersive virtual environment, where both aspects of ergonomics are assessed to properly evaluate the quality of human work. An industrial case study is presented, where the protocol is adopted to optimize the design of a workstation for manual operations on pipes for energy industry.

A protocol to assess manufacturing ergonomics on immersive virtual environments / Peruzzini, Margherita; Carassai, Stefano; Pellicciari, Marcello. - ELETTRONICO. - 1:(2016). (Intervento presentato al convegno 26th conference on Flexible Automation and Intelligent Manufacturing (FAIM2016) tenutosi a Seoul, Republic of Korea nel June 27-30).

A protocol to assess manufacturing ergonomics on immersive virtual environments

PERUZZINI, MARGHERITA;CARASSAI, STEFANO;PELLICCIARI, Marcello
2016

Abstract

Manufacturing Ergonomics refers to the application of ergonomic principles to manufacturing tasks in order to optimize workers’ actions and prevent musculoskeletal disorder (MSD), which has been demonstrated to have a great economic impact on both companies and societies. Traditional approaches are based on the observation of individual workers performing their jobs, the detection of unnatural postures (e.g. bending, twisting, overextending, rotating), and the definition of corrective actions according to ergonomic guidelines. Virtual prototypes and Digital Human Models (DHMs) are recently used to simulate ergonomic performance on virtual manikins operating in digital workplaces and optimize the workstation design before creation. However, actual tools do not allow the evaluation of both physical and cognitive ergonomics, do not include the subjective impressions of workers, and do not consider the workers’ needs and capabilities. The present paper defines a protocol analysis to investigate both functional and cognitive ergonomic performance of workers within an immersive virtual environment, where both aspects of ergonomics are assessed to properly evaluate the quality of human work. An industrial case study is presented, where the protocol is adopted to optimize the design of a workstation for manual operations on pipes for energy industry.
2016
26th conference on Flexible Automation and Intelligent Manufacturing (FAIM2016)
Seoul, Republic of Korea
June 27-30
1
Peruzzini, Margherita; Carassai, Stefano; Pellicciari, Marcello
A protocol to assess manufacturing ergonomics on immersive virtual environments / Peruzzini, Margherita; Carassai, Stefano; Pellicciari, Marcello. - ELETTRONICO. - 1:(2016). (Intervento presentato al convegno 26th conference on Flexible Automation and Intelligent Manufacturing (FAIM2016) tenutosi a Seoul, Republic of Korea nel June 27-30).
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1106430
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact