Analytical modeling and experimental study of human workload in scheduling of advanced manufacturing systems

Autor: Gavriel Salvendy, Shuxin Bi
Rok vydání: 1994
Předmět:
Zdroj: International Journal of Human Factors in Manufacturing. 4:205-234
ISSN: 1522-7111
1045-2699
DOI: 10.1002/hfm.4530040207
Popis: Human supervisory control of advanced manufacturing systems is characterized by dynamic, discrete, and random decision-making tasks. With humans in the system control loop, there is a concern on cognitive task allocation based on human mental workload and performance. Traditional task analysis techniques based on observable actions are no longer appropriate. In this article, an analytical model was developed based on the conceptual model of human workload prediction proposed by Salvendy (Salvendy, 1993). This model is suggested to predict task load and human workload based on system engineering parameters: task arrival rate, task complexity, task uncertainty, and task performance requirement. This article also reports on an experimental study in which the sensitivity of the proposed engineering parameters on human workload and the validity of the analytical model were studied. A real time scheduling simulator of an advanced manufacturing system was implemented and configured with experiment data. The results support strongly the analytical model and further the conceptual model of human workload prediction. It is expected that the derived cognitive task analysis method and prediction models could be used for dynamic decision-making system design with random task arrivals.
Databáze: OpenAIRE
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