Abstract
Assessment of workplace risk is generally accepted as the basis of any effort to manage it. Researchers have emphasized on the need to incorporate human factors in risk assessment, due to the increasing relevant role of humans in the modern work environment. The aim of this chapter is to offer a theorical approach for human factors identification and classification system in accidents’ causality in manufacturing environment. This chapter emphasizes in the study of human error as a relevant aspect in the human factors approach. It presents an introduction to human error taxonomies. Also, a new taxonomy is proposed and developed in a case study. The Swiss Cheese defense model developed by Reason is treated in detail because it has built the theoretical fundaments for the proposed taxonomy applied in the manufacturing industry for automotive harnesses. Finally, an application of the proposed taxonomy is shown, using accident report found in the database of an international automotive wire harness manufacturing corporation.
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Reyes-Martínez, R.M., Maldonado-Macías, A.A., de la O, R., de la Riva-Rodríguez, J. (2014). Theoretical Approach for Human Factors Identification and Classification System in Accidents Causality in Manufacturing Environment. In: García-Alcaraz, J., Maldonado-Macías, A., Cortes-Robles, G. (eds) Lean Manufacturing in the Developing World. Springer, Cham. https://doi.org/10.1007/978-3-319-04951-9_18
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