In modern manufacturing systems, human labor often is an important resource. Consequently, in the design and redesign of human-based manufacturing systems, a reliable description of both hardware and human components is required, which was often neglected in the past. Digiesi et al. (2004) presented a model describing both fatigue and learning effects on worker behavior over time. In this paper, the authors show that dynamic worker behavior over time has a profound impact on the queueing behavior of a flow line. Simulation results show that these conclusion hold for both long- and short-term simulation models.
The Effect of Dynamic Worker Behaviour on Flowtime Performance / Digiesi, Salvatore; Kock, A. A. A.; Mummolo, Giovanni; Rooda, J. E.. - 2:(2006), pp. 329-334. (Intervento presentato al convegno 12th IFAC Symposium on Information Control Problems in Manufacturing – INCOM 2006 tenutosi a Saint-Etienne, Francia nel 17-19/05/2006).
The Effect of Dynamic Worker Behaviour on Flowtime Performance
DIGIESI, Salvatore;MUMMOLO, Giovanni;
2006-01-01
Abstract
In modern manufacturing systems, human labor often is an important resource. Consequently, in the design and redesign of human-based manufacturing systems, a reliable description of both hardware and human components is required, which was often neglected in the past. Digiesi et al. (2004) presented a model describing both fatigue and learning effects on worker behavior over time. In this paper, the authors show that dynamic worker behavior over time has a profound impact on the queueing behavior of a flow line. Simulation results show that these conclusion hold for both long- and short-term simulation models.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
