Improving time estimation accuracy in manufacturing systems: experimental assessment of MOST predetermined motion time system using laboratory data and Fitts' law

Farhad Mazareinezhad, Firdaous Sekkay et Daniel Imbeau

Article de revue (2025)

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Mots clés

• Mechanical Engineering
• Cognitive Neuroscience
• Human-Computer Interaction
• Teleoperation and Haptic Systems
• Tactile and Sensory Interactions
• Gaze Tracking and Assistive Technology

Renseignements supplémentaires:	The research was conducted in compliance with Polytechnique Montréal's ethical standards and was approved under certificate CER-2223–38-D.
Département:	Département de mathématiques et de génie industriel
Organismes subventionnaires:	Mitacs Canada
Numéro de subvention:	IT23624
URL de PolyPublie:	https://publications.polymtl.ca/65987/
Titre de la revue:	The International Journal of Advanced Manufacturing Technology
Maison d'édition:	Springer Science+Business Media
DOI:	10.1007/s00170-025-15791-6
URL officielle:	https://doi.org/10.1007/s00170-025-15791-6
Date du dépôt:	05 juin 2025 15:32
Dernière modification:	05 juin 2025 15:32

Citer en APA 7:	Mazareinezhad, F., Sekkay, F., & Imbeau, D. (2025). Improving time estimation accuracy in manufacturing systems: experimental assessment of MOST predetermined motion time system using laboratory data and Fitts' law. The International Journal of Advanced Manufacturing Technology, 17 pages. https://doi.org/10.1007/s00170-025-15791-6
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