Tag Archives: human factors

362–372 J. Lezdkalne
Potentially fatal incidents: identification, classification and human factor analysis
Abstract |
Full text PDF (178 KB)

Potentially fatal incidents: identification, classification and human factor analysis

J. Lezdkalne*

University of Latvia, Aspazijas blvd. 5, LV-1050 Ria, Latvia
*Correspondence: jelena.lezd@inbox.lv

Abstract:

Potentially fatal incidents (PFIs) are increasingly used as leading indicators in high-risk industries, yet their definitions, classification criteria, and investigative depth vary widely across organisations, limiting. their preventive value and comparability. Human factors (HF) play a critical role in determining whether incidents escalate into PFIs and must be considered together with technical and organisational barrier performance. This research aims to examine the role of human and organisational factors in PFI identification, analyse misclassification patterns, and propose a human-factors-based model to improve PFI classification consistency and learning value. A retrospective document analysis was conducted using incident reports from a heavy-industry organisation covering the period from 2020 to 2024. The dataset was systematically reviewed and PFI classifications were re-evaluated using a structured framework integrating hazardous energy and exposure assessment, barrier performance evaluation based on Bow-Tie logic, and human and organisational factor coding using an HFACS-based structure. Analysis revealed inconsistency in PFI classification, including overclassification and under-classification linked to limited recognition of human and organisational factors. Number of incidents were labelled as PFIs despite lacking credible fatal energy exposure, while other events with systemic and human-factor contributors associated with fatal risk were not recognised as PFIs. The HF-PFI Model demonstrated improved classification reliability by integrating energy exposure, barrier status, human factor categories, and systemic indicators. Integrating human-factors analysis into PFI identification can strengthen serious injury and fatality prevention in high-risk industrial environments.

Key words:

, , , , , ,




1762-1770 D.G. Maksimov and H. Kalkis
Ergonomic modelling parameters and the influence of ergonomics on planning workplaces
Abstract |
Full text PDF (938 KB)

Ergonomic modelling parameters and the influence of ergonomics on planning workplaces

D.G. Maksimov¹* and H. Kalkis²

¹Udmurt State University, Institute of Economics and Management, Universitetskaya street 1, bld. 4, RU426034 Izhevsk, Russia
²Riga Stradins University, Faculty of European Studies, Dzirciema street 16, LV 1007 Riga, Latvia
*Correspondence: maksim.dan.gen@gmail.com

Abstract:

Modern economic research divides all economics into structural levels: mega-economics, macroeconomics, meso-economics, micro-economics, and nano-economics. From the point of such traditional divisions, the research is topical in the primary economic structure of society – nano-economics – and thanks to this work operations can be subdivided into workplaces in the form of transformation processes. The aim of the research is to develop ergonomic modelling parameters and to discover the influence of ergonomics on the planning of workplaces based on a case study. The research involved a study of workplace ergonomic planning methods and principles. Solutions for a series of problems which are related to the improvement of workplace ergonomics may be discovered in the following ways: improving work organisation in every workplace by using work process-related micro-elemental methods and a determination of work expenditure, the levels of physical strenuousness involved in the work, the complexity of the work, and the social importance of the workplace. These parameters will allow the workplace quantity characteristics to be discovered, such as in terms of a generalised parameter which conforms to the requirements which describe a workplace, and in terms of operational management via the condition of workplaces and the salary systems being utilised. The research provides a case study in which ergonomic modelling parameters are developed and concrete workplace interventions are introduced.

Key words:

, , , ,