A safety incentive system based on workers behaviour and calculated through a Fuzzy Inference System

A. Saracino, G. Antonioni, G. Spadoni, Matteo Curcuruto, D. Guglielmi, M.G. Mariani

Research output: Chapter in Book/Conference paperConference paper

Abstract

© 2015 Taylor & Francis Group, London. This study proposes a safety incentive system that is based on the behaviour of workers and is quantified by means of fuzzy logic. The new methodology, which is aimed at measuring the socalled “proactivity”, through the analysis of the properties of spontaneous activities of risks reporting, was born thanks to a combined work of engineering and psychology. The psychological approach was required in order to investigate the proactivity. In this methodology the activity of risks reporting by workers is measured in terms both of its proactivity and of the consequences that could have occurred. If an employee produces a good risk-report, because he has a good attitude in perceiving risks and also because, thanks to his/her risk-report, a personal injury or an extensive damage has been avoided, he/she might deserve a reward. This methodology, that has been applied to a case-study, should be a method for preventing occupational risk in production plants.
Original languageEnglish
Title of host publicationSafety and Reliability of Complex Engineered Systems
Place of PublicationUnited Kingdom
PublisherCRCnetBASE
Pages3309-3317
VolumeN/A
ISBN (Print)9781138028791
DOIs
Publication statusPublished - 2015
EventA safety incentive system based on workers behaviour and calculated through a Fuzzy Inference System - Europe
Duration: 1 Jan 2015 → …

Conference

ConferenceA safety incentive system based on workers behaviour and calculated through a Fuzzy Inference System
Period1/01/15 → …

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Saracino, A., Antonioni, G., Spadoni, G., Curcuruto, M., Guglielmi, D., & Mariani, M. G. (2015). A safety incentive system based on workers behaviour and calculated through a Fuzzy Inference System. In Safety and Reliability of Complex Engineered Systems (Vol. N/A, pp. 3309-3317). United Kingdom: CRCnetBASE. https://doi.org/10.1201/b19094-435