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Use of Quality Management Tools to Identify Ergonomic Non-conformities in Human Activities

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Advances in Manufacturing, Production Management and Process Control (AHFE 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 971))

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Abstract

In order to operate properly, manufacturing enterprises find it increasingly critical to create a proper production environment. To that end, focus is placed on worker health and safety along with other environmental factors that boost efficiency. Organizations need to take measures to ensure that their tasks are performed optimally and that their employees enjoy comfort and well-being. Due to the nature of such requirements and measures, enterprises are compelled to make use of ergonomic criteria [1,2,3] to select the scope of their response, employ tools to identify issues, analyse any issues discovered and make improvements. The process requires the use of quality management tools associated with quality engineering. This article defines the options for using traditional as well as new quality management tools. It identifies the need to employ such tools and the potential benefits they can bring, including those applicable to broadly-defined ergonomics of the workplace.

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Authors and Affiliations

  1. Faculty of Management Engineering, Poznań University of Technology, ul. Strzelecka 11, 60-967, Poznań, Poland

    Adam Górny

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  1. Adam Górny
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Correspondence to Adam Górny .

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Editors and Affiliations

  1. Department of Industrial Engineering and Management System, University of Central Florida, Orlando, FL, USA

    Waldemar Karwowski

  2. Poznan University of Technology, Poznan, Poland

    Stefan Trzcielinski

  3. Poznan University of Technology, Poznan, Poland

    Beata Mrugalska

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Górny, A. (2020). Use of Quality Management Tools to Identify Ergonomic Non-conformities in Human Activities. In: Karwowski, W., Trzcielinski, S., Mrugalska, B. (eds) Advances in Manufacturing, Production Management and Process Control. AHFE 2019. Advances in Intelligent Systems and Computing, vol 971. Springer, Cham. https://doi.org/10.1007/978-3-030-20494-5_30

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  • DOI: https://doi.org/10.1007/978-3-030-20494-5_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20493-8

  • Online ISBN: 978-3-030-20494-5

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