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Knowledge Patterns to Support Ergonomic Treatment of Human Error: Technology TErEH

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Advances in Human Error, Reliability, Resilience, and Performance (AHFE 2018)

Abstract

Conducting a comprehensive human errors analysis can be a complex task. Numerous methods, techniques, and tools have been developed, which usually address the problem from different perspectives. Which are the right ones? And when? What is the best method in my context? These are some of the questions that you could be asking yourself at the beginning. But how could we support this decision-making process? This question was addressed in the framework of the technology for the ergonomic treatment of human error (TErEH), developed by this team of researchers. This paper shows how the pattern theory, which is widely used in the enterprise architecture management field, is useful to generate knowledge patterns and to support the analyst in their decision-making process during the deployment of the technology TErEH. At that purpose, three procedure were developed that make possible the re-use of knowledge through the deployment of the pattern catalog, allowing the compilation of thirty-eight patterns to aid in the diagnosis and solutions of human errors.

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Acknowledgments

The authors want to express their gratitude to those enterprises of BioCubaFarma group who allowed the deployment of the technology TErEH in some of their process. Also, to the students of the courses of Occupational Ergonomics and Introduction to human error analysis of the Faculty of Industrial Engineering at CUJAE, who actively participated on both the experiments and the implementation of the technology in more than 20 Cubans enterprises.

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Correspondence to Reicelis Casares Li .

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Casares Li, R., Rodríguez Hernández, A.G., Viña Brito, S.J. (2019). Knowledge Patterns to Support Ergonomic Treatment of Human Error: Technology TErEH. In: Boring, R. (eds) Advances in Human Error, Reliability, Resilience, and Performance. AHFE 2018. Advances in Intelligent Systems and Computing, vol 778. Springer, Cham. https://doi.org/10.1007/978-3-319-94391-6_9

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  • DOI: https://doi.org/10.1007/978-3-319-94391-6_9

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