<div class="csl-bib-body">
<div class="csl-entry">Schmid, A., Granig, A., Sobottka, T., Riester, M., & Sihn, W. (2023). DISPO 4.0 - Simulationsbasierte Optimierung von Bestelllosgrößen. In S. Bergmann, N. Feldkamp, R. Souren, & S. Straßburger (Eds.), <i>20. ASIM Fachtagung Simulation in Produktion und Logistik</i> (pp. 421–432). Universitätsverlag Ilmenau. https://doi.org/10.22032/dbt.57810</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/192822
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dc.description.abstract
This paper presents the development and evaluation of a digital planning method for the operational purchasing that enables an automated and product-specific optimized material requirements planning. With materials planning today facing a volatile and complex market environment, the trend towards automated processes in procurement is the key to competitiveness. Although simulation-based optimization for one of the key tasks in material requirements planning, purchase order lot size planning, offers great potential, these digital tools are not yet readily available and thus not widely used in the industry. Thus, this paper develops a simulation-based optimization of purchase orders and evaluates the method in two case-studies in the capital good industry, using 15 purchase order lot sizing algorithms. The results point to a significant cost savings potential and provide insights into the comparative benefits of the algorithms.
en
dc.language.iso
de
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dc.subject
Simulation
de
dc.subject
Materialdisposition
de
dc.title
DISPO 4.0 - Simulationsbasierte Optimierung von Bestelllosgrößen
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dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.publication
20. ASIM Fachtagung Simulation in Produktion und Logistik
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dc.contributor.editoraffiliation
Technische Universität Ilmenau, Germany
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dc.contributor.editoraffiliation
Technische Universität Ilmenau, Germany
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dc.relation.isbn
978-3-86360-276-5
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dc.relation.doi
10.22032/dbt.57476
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dc.description.startpage
421
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dc.description.endpage
432
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
20. ASIM Fachtagung Simulation in Produktion und Logistik