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Implementation of TPM Methodology in Worker Fatigue Management - A Macroergonomic Approach

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Advances in Social & Occupational Ergonomics (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 605))

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Abstract

The article describes the use of TPM pillars: Focused Improvement, Autonomous Maintenance, Planned Maintenance, Quality Maintenance, Early Equipment Management and Training and Education, along with their implementation for the purposes of fatigue management. Among the various techniques used as part of TPM, the techniques that allow better control over the welfare and safety of workers are highlighted. The following methods proved particularly useful in fatigue management: Focused Improvement, where small groups of employees work together proactively to achieve a regular, incremental improvement in safety and fatigue management, as well as Training to establish responsible behavioral patterns in the management of fatigue of both employees and management. The article also presents a theoretical application of the Overall Labor Effectiveness (OLE) indicator, which is analogous to the Overall Equipment Effectiveness (OEE) indicator for the purposes of fatigue management.

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Authors and Affiliations

  1. Faculty of Management Engineering, Poznan University of Technology, Strzelecka 11 Street, Poznan, 60-965, Poland

    Marcin Butlewski, Grzegorz Dahlke, Milena Drzewiecka-Dahlke, Adam Górny & Leszek Pacholski

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  1. Marcin Butlewski
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  2. Grzegorz Dahlke
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  3. Milena Drzewiecka-Dahlke
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  4. Adam Górny
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  5. Leszek Pacholski
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Correspondence to Marcin Butlewski .

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Editors and Affiliations

  1. Department Industrial Design, Delft University of Technology, Faculty of Industrial Design Engineering, CE Delft, The Netherlands

    Richard H.M. Goossens

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Butlewski, M., Dahlke, G., Drzewiecka-Dahlke, M., Górny, A., Pacholski, L. (2018). Implementation of TPM Methodology in Worker Fatigue Management - A Macroergonomic Approach. In: Goossens, R. (eds) Advances in Social & Occupational Ergonomics. AHFE 2017. Advances in Intelligent Systems and Computing, vol 605. Springer, Cham. https://doi.org/10.1007/978-3-319-60828-0_4

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  • DOI: https://doi.org/10.1007/978-3-319-60828-0_4

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