Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/126804
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Type: Journal article
Title: Modelling productivity loss from heat stress
Author: Dear, K.
Citation: Atmosphere, 2018; 9(7):286-1-286-9
Publisher: MDPI
Issue Date: 2018
ISSN: 2073-4433
2073-4433
Statement of
Responsibility: 
Keith Dear
Abstract: Workers exposed to high ambient temperatures, either indoors or out, work slower. The few studies that have measured this loss of productivity show a degree of consistency across widely varying settings. I develop a class of 5-parameter probability models that express productivity as a function of environmental heat and show how the method of fitting can be adapted according to the completeness of the data available. As well as modelling the mean output, it is important to also consider variation between workers, and the model presented here achieves this. The method is illustrated using three previously published datasets from different industries and work environments.
Keywords: Workplace; heat stress; productivity loss; beta distribution
Rights: © 2018 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
DOI: 10.3390/atmos9070286
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