Author:
Calzavara Martina,Persona Alessandro,Sgarbossa Fabio,Visentin Valentina
Abstract
Purpose
In order-picking activities, the performance of the system can be influenced by different variables such as the order to be fulfilled, the distance to be covered or the experience of operators. Usually, this kind of activity is performed by operators rather than machines to assure flexibility. Consequently, their fatigue accumulation can decrease the performance of the overall system. The purpose of this paper is to define the kind of device to be used in an order-picking context, to obtain data which can be utilized for the evaluation of the level of fatigue and to improve the performance of the picking system.
Design/methodology/approach
The paper presents a comparison between existing fatigue methods which can be applied in a picking context. In addition, an analysis of the physiological literature for the evaluation of a new device for the monitoring of fatigue level is carried on and its practical use is shown.
Findings
The proposed research identifies in the heart rate monitor the device that, thanks to its advantages, can be the best one to be used in an industrial context for monitoring the physical fatigue of operators.
Originality/value
This study considers the importance of human factors in picking activities such as physical fatigue of operators and the need to have validated tools to monitor and to define the level of fatigue accumulation in each activity of different rate and duration.
Subject
Industrial and Manufacturing Engineering,Strategy and Management,Computer Science Applications,Industrial relations,Management Information Systems
Reference48 articles.
1. Analysts of components and prediction of energy expenditure in manual tasks;The International Journal of Production Research,1967
2. The measurement of daily energy expenditure – an evaluation of some techniques;The American Journal of Clinical Nutrition,1980
3. Heart rate monitoring;Sports Medicine,2003
4. Andreoni, G., Mazzola, M., Ciani, O., Zambetti, M., Romero, M., Costa, F. and Preatoni, E. (2009), “Method for movement and gesture assessment (MMGA) in ergonomics”, in Duffy, V.G. (Ed.), Digital Human Modeling, Springer, Heidelberg, pp. 591-598.
5. A nomogram for calculation of aerobic capacity (physical fitness) from pulse rate during submaximal work;Journal of Applied Physiology,1954
Cited by
24 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献