Using RGB-D sensors and evolutionary algorithms for the optimization of workstation layouts.
RGB-D sensors can collect postural data in an automatized way. However, the application of these devices in real work environments requires overcoming problems such as lack of accuracy or body parts' occlusion. This work presents the use of RGB-D sensors and genetic algorithms for the optimization of workstation layouts. RGB-D sensors are used to capture workers' movements when they reach objects on workbenches. Collected data are then used to optimize workstation layout by means of genetic algorithms considering multiple ergonomic criteria. Results show that typical drawbacks of using RGB-D sensors for body tracking are not a problem for this application, and that the combination with intelligent algorithms can automatize the layout design process. The procedure described can be used to automatically suggest new layouts when workers or processes of production change, to adapt layouts to specific workers based on their ways to do the tasks, or to obtain layouts simultaneously optimized for several production processes.
I3B, Institute for Research and Innovation in Bioengineering, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain. Electronic address: jodiemas@dpi.upv.es.
Jose Antonio
JA
Diego-Mas
Engineering Projects Department, Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain. Electronic address: ropobau@dpi.upv.es.
Rocio
R
Poveda-Bautista
Universidad del Bosque, Av. Cra 9 No. 131 A - 02, Bogotá, Columbia. Electronic address: dgarzonl@unbosque.edu.co.
Diana
D
Garzon-Leal
D000465:Algorithms; D015374:Biosensing Techniques / Q000706:statistics & numerical data*; D001837:Body Weights and Measures; D004779:Environment Design; D006804:Ergonomics / Q000379:methods*; D006801:Humans; D009068:Movement / Q000502:physiology; D014937:Work / Q000502:physiology*
Genetic algorithms; RGB-D sensors; Workstation layout