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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Notes
- 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.
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Gust, P., Müller, U., Feller, N., Schiffmann, M. (2017). Field Study on the Application of a Simulation-Based Software Tool for the Strain-Based Staffing in Industrial Manufacturing. In: Duffy, V. (eds) Advances in Applied Digital Human Modeling and Simulation. Advances in Intelligent Systems and Computing, vol 481. Springer, Cham. https://doi.org/10.1007/978-3-319-41627-4_1
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