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Modeling Manual Assembly System to Derive Best Practice from Actual Data

: Kärcher, Susann; Görzig, David; Bauernhansl, Thomas


Ameri, Farhad ; International Federation for Information Processing -IFIP-; International Federation for Information Processing -IFIP-, Working Group 5.7 Advances in Production Management Systems:
Advances in production management systems. Towards smart production management systems. Proceedings. Pt.2 : IFIP WG 5.7 International Conference, APMS 2019, Austin, TX, USA, September 1-5, 2019
Cham: Springer Nature, 2019 (IFIP advances in information and communication technology 567)
ISBN: 978-3-030-29995-8 (Print)
ISBN: 978-3-030-29996-5 (Online)
International Confererence Advances in Production Management Systems (APMS) <2019, Austin/Tex.>
Fraunhofer IPA ()
best practice; manuelle Montage; Modell; Montagesystem; Praxis

In manual assembly systems, there is often little transparency and great potential for optimization, especially in assembly systems with small batch sizes. In this paper, a model is developed that supports an approach to automated assembly optimization. For this optimization, actual data is collected in manual assemblies. Based on the data, the optimized assembly sequence is derived by developing a best practice. Best practice describes a combination of assembly processes performed by the workers during the data collection. The model shows the relationships and the dependencies in the assembly systems and allows to improve it. First, the considered assembly system is defined as a socio-technical system and general modeling principles are prepared. After presenting the benchmark approach to derive the best practice, the requirements for the model are identified. Then, the model is developed in four steps: The system boundary is defined, the features are described, and the model is formalized. Finally, the model is applied and tested in an example project and its purposefulness is shown.