Development of a Taxonomy of Human Error Causation of Accidents Involving Injuries to Hands in the Harnesses Industry
The aim of this study was to develop a taxonomy of human factors that influence human errors and faults that cause injury accidents in hands in the automotive manufacturing industry harnesses. The methodology cultural consensus theory of Cognitive Anthrop
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nomy Accidents Harnesses industry
1 Introduction Health and Safety Executive (HSE) describes human factors as the perceptual, mental and physical capabilities of people and interactions of individuals with their job and work environment, and the influence of equipment design and system design on human performance. It also notes characteristics of the organization, which influence safety-related behavior at work [1]. The identification and study of human factors is of particular interest for the field of safety as these factors are involved in human errors. Their field is vast as it ‘‘studies the intersection between R.M.R. Martinez (&) J. de la Riva Rodriguez R. de la O Escapita A. Wookay A.M. Macias Division de Estudios de Posgrado E Investigacion, Instituto Tecnologico de Cd Juarez, Cd Juarez, Chihuahua, Mexico e-mail: [email protected] © Springer International Publishing Switzerland 2017 R.H.M. Goossens (ed.), Advances in Social & Occupational Ergonomics, Advances in Intelligent Systems and Computing 487, DOI 10.1007/978-3-319-41688-5_28
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people, technology and work, with the major aim to find areas where design and working conditions produce human error. Analysis of human error and their role in accidents is an important part of developing systematic methods for reliability in the industry and risk prediction. To obtain data for predictive analysis is necessary to analyze accidents and incidents to identify its causes in terms of component failures and human errors [2]. Therefore, a proper understanding of human factors in the workplace is an important aspect in the prevention of accidents [3], and human factors should be considered in any program to prevent those that are caused by human error. Human error in accidents has been studied in two different environments. The first one is in manufacturing and the second in high-risk complex systems. The complexity of research in relation to human error is different according to each approach. In manufacturing is oriented to individual accidents (occupational) while high-risk systems approach is focused on organizational accidents. Research in high-risk systems tends to be more complex as organizational accidents, due to it has multiple causes without clear causal links [4]. In the case of occupational accidents, they are associated with unsafe acts that have a big impact, and generally, a person or group of persons is the agent and the victim. In addition, the person or group at risk may be known [5]. One drawback of the current studies about identification and classification of human error and its contributing factors, is that occupational accidents in the manufacturing industry have been neglected to give attention to high-risk complex systems, such as medicine, aviation, military, rail industry and shipping. This implies that there is very little empirical data on human error in the field of manufacturing and it limits the empirical validation of their concepts and classification, in this domain of knowledge. To prevent an
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