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2017 | OriginalPaper | Chapter

Field Study on the Application of a Simulation-Based Software Tool for the Strain-Based Staffing in Industrial Manufacturing

Authors : Peter Gust, Ulf Müller, Nico Feller, Michael Schiffmann

Published in: Advances in Applied Digital Human Modeling and Simulation

Publisher: Springer International Publishing

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Abstract

In the context of demographic changes in industrial nations and the common global megatrend Internet of Things or Industry 4.0, enterprises have to tackle technological, social and economic challenges. To maintain their market position, enterprises have to change their manufacturing processes, amongst others. After a short introduction, the following article presents the objective and proceeding of a field study on the simulation-based software tool WorkDesigner for the strain-based staffing in a medium-sized enterprise of industrial manufacturing. Afterwards, the data acquisition and modelling as well as the analysis of the simulation results is explained. Concluding, the presented results and future developments are discussed.

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next chapter A Quantitative Comparison of Operator Field of View for Vehicle Design
Footnotes
1
For additional information see [3].
 
2
See [3].
 
3
During the field study we use EDM.Cloud by x-dms Datenmanagement Systeme, a cloud-based integral Engineering Data Management System that provides the functionality of Product Data Management (PDM), Enterprise Resource Planning (ERP), Production Planning and Control (PPC) and Manufacturing Execution System (MES).
 
4
Referring to this additional time use surveys were consulted such as [10]. It has to be mentioned that there are huge variations with recreational activities depending on the country, the socio-cultural background and the age group.
 
5
MDE-DNC.Net is a stand alone system for machine data acquisition (MDA), production data acquisition (PDA) and machine monitoring (DNC) by MDE-DNC.Net/Smart Factory B.V. It is the link between enterprise-specific data and manufacturing-specific data.
 
Literature
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Steinbrunn, M., Bubner, N.: IT-Strategien in Zeiten der Digitalen Transformation. Detecon Update, Digital Business News. Detecon Consulting GmbH, GER (2015)
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Becker, D., Pawelke, M.: Blechbieger oder Grid Master? Die Automobilindustrie an der Weggabelung in ein hochdigitalisiertes Zeitalter. KPMG AUTOMOTIVE, Trendanalyse 2015. KPMG AG, GER (2015)
3.
Kusch, T., Deprez, F., Nebendahl, J.: Transformation and Peoplemanagement. Detecon Management Report. Detecon International GmbH, Köln (2015)
4.
Müller, U., Gust, P., Feller, N., Schiffmann, M.: WorkDesigner: consulting application software for the strain-based staffing and design of work processes. Procedia Manufact. 3, 379–386 (2015)CrossRef
5.
Feller, N., Müller, U.: Development and assessment of work systems for elder employees in industrial manufacturing. In: Trzcielinski, S., Karwowski, W. (eds.) Advances in the Ergonomics in Manufacturing, Managing the Enterprise of the Future, pp. 140–151. AHFE Conference ©, USA (2014)
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Müller, U., Gust, P., Feller, N., Schiffmann, M.: Simulationstool zur alters- und belastungsorientierten Entwicklung und Bewertung von Arbeitssystemen in der industriellen Fertigung. In: Rabe, M., Clausen, U. (eds.) Simulation in Production and Logistics 2015, pp. 469–480. Fraunhofer IRB Verlag, Stuttgart (2015)
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Schlick, C., Bruder, R., Luczak, H.: Arbeitswissenschaft. Springer, Berlin (2010)CrossRef
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Bundesamt, Statistisches: Zeitverwendungserhebung, Aktivitäten in Stunden und Minuten für ausgewählte Personengruppen 2012/2013. Statistisches Bundesamt, Wiesbaden (2015)
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Bullinger, H.-J.: Ergonomie, Produkt- und Arbeitsplatzgestaltung. Teubner, Stuttgart (1994)CrossRef
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Metadata
Title
Field Study on the Application of a Simulation-Based Software Tool for the Strain-Based Staffing in Industrial Manufacturing
Authors
Peter Gust
Ulf Müller
Nico Feller
Michael Schiffmann
Copyright Year
2017
Book
Advances in Applied Digital Human Modeling and Simulation

Print ISBN: 978-3-319-41626-7

Electronic ISBN: 978-3-319-41627-4

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-41627-4_1

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