Human Factor Interrelationships to Improve Worker Reliability: Implementation of MCDM in the Agri-Food Sector

Performance Shaping Factors (PSFs) are contextual, individual, and cognitive factors used in Human Reliability Analysis (HRA) to quantify the worker contribution to errors when performing a generic task. Although the empirical evidence demonstrates the existence of PSF interrelationships, the majori...

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Main Authors: Concetta Manuela La Fata, Antonio Giallanza, Luca Adelfio, Rosa Micale, Giada La Scalia
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/12/2/283
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author Concetta Manuela La Fata
Antonio Giallanza
Luca Adelfio
Rosa Micale
Giada La Scalia
author_facet Concetta Manuela La Fata
Antonio Giallanza
Luca Adelfio
Rosa Micale
Giada La Scalia
author_sort Concetta Manuela La Fata
collection DOAJ
description Performance Shaping Factors (PSFs) are contextual, individual, and cognitive factors used in Human Reliability Analysis (HRA) to quantify the worker contribution to errors when performing a generic task. Although the empirical evidence demonstrates the existence of PSF interrelationships, the majority of HRA methods assume their independence. As a consequence, the resulting Human Error Probability (HEP) might be over- or underestimated. To deal with this issue, only a few qualitative guidelines or statistical-based approaches have been proposed so far. While the former are not well structured, the latter require a high computational effort and a proper number of input data. Therefore, the present paper provides an alternative approach to deal with the PSFs interaction issue to facilitate the identification of the most influential human factors on which to take corrective actions. To this purpose, Multi Criteria Decision Making (MCDM) methods may represent a structured, effortless, and easily replicable framework. Owing to their ability to deal with the interdependence of decision factors, DEMATEL and ANP are hence considered and afterwards compared, highlighting their strengths and weaknesses. Both methods are implemented in an agri-food company which produces pistachios in Southern Italy.
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spelling doaj.art-f1df06877f684ec0a2c5421a13dc12f92023-11-30T21:58:13ZengMDPI AGElectronics2079-92922023-01-0112228310.3390/electronics12020283Human Factor Interrelationships to Improve Worker Reliability: Implementation of MCDM in the Agri-Food SectorConcetta Manuela La Fata0Antonio Giallanza1Luca Adelfio2Rosa Micale3Giada La Scalia4Department of Engineering, University of Palermo, Viale delle Scienze bld. 8, 90128 Palermo, ItalyDepartment of Engineering, University of Palermo, Viale delle Scienze bld. 8, 90128 Palermo, ItalyDepartment of Engineering, University of Palermo, Viale delle Scienze bld. 8, 90128 Palermo, ItalyDepartment of Engineering, University of Messina, Contrada di Dio, 98166 Messina, ItalyDepartment of Engineering, University of Palermo, Viale delle Scienze bld. 8, 90128 Palermo, ItalyPerformance Shaping Factors (PSFs) are contextual, individual, and cognitive factors used in Human Reliability Analysis (HRA) to quantify the worker contribution to errors when performing a generic task. Although the empirical evidence demonstrates the existence of PSF interrelationships, the majority of HRA methods assume their independence. As a consequence, the resulting Human Error Probability (HEP) might be over- or underestimated. To deal with this issue, only a few qualitative guidelines or statistical-based approaches have been proposed so far. While the former are not well structured, the latter require a high computational effort and a proper number of input data. Therefore, the present paper provides an alternative approach to deal with the PSFs interaction issue to facilitate the identification of the most influential human factors on which to take corrective actions. To this purpose, Multi Criteria Decision Making (MCDM) methods may represent a structured, effortless, and easily replicable framework. Owing to their ability to deal with the interdependence of decision factors, DEMATEL and ANP are hence considered and afterwards compared, highlighting their strengths and weaknesses. Both methods are implemented in an agri-food company which produces pistachios in Southern Italy.https://www.mdpi.com/2079-9292/12/2/283Human Error Probability (HEP)Performance Shaping Factor (PSF)interdependenceMulti Criteria Decision Making (MCDM)
spellingShingle Concetta Manuela La Fata
Antonio Giallanza
Luca Adelfio
Rosa Micale
Giada La Scalia
Human Factor Interrelationships to Improve Worker Reliability: Implementation of MCDM in the Agri-Food Sector
Electronics
Human Error Probability (HEP)
Performance Shaping Factor (PSF)
interdependence
Multi Criteria Decision Making (MCDM)
title Human Factor Interrelationships to Improve Worker Reliability: Implementation of MCDM in the Agri-Food Sector
title_full Human Factor Interrelationships to Improve Worker Reliability: Implementation of MCDM in the Agri-Food Sector
title_fullStr Human Factor Interrelationships to Improve Worker Reliability: Implementation of MCDM in the Agri-Food Sector
title_full_unstemmed Human Factor Interrelationships to Improve Worker Reliability: Implementation of MCDM in the Agri-Food Sector
title_short Human Factor Interrelationships to Improve Worker Reliability: Implementation of MCDM in the Agri-Food Sector
title_sort human factor interrelationships to improve worker reliability implementation of mcdm in the agri food sector
topic Human Error Probability (HEP)
Performance Shaping Factor (PSF)
interdependence
Multi Criteria Decision Making (MCDM)
url https://www.mdpi.com/2079-9292/12/2/283
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