Details
| Original language | English |
|---|---|
| Pages (from-to) | 601-611 |
| Number of pages | 11 |
| Journal | Production Engineering |
| Volume | 17 |
| Issue number | 3-4 |
| Early online date | 4 Feb 2023 |
| Publication status | Published - Jun 2023 |
Abstract
Against the background of the climate crisis, fast innovation space in emerging technologies and the global competitive environment for manufacturing companies, a sound understanding of the life cycle behavior of factory systems becomes more and more important. The decision context of the factory life cycle conveys a high level of complexity, e.g. by the heterogeneous nature of factory element life cycles, manifold interactions between them as well as external change drivers. A model-based understanding as well as methods and tools are required that support factory planners and operators in this regard. This paper presents an approach for the modeling and quantitative evaluation of life cycle dynamics in factory systems while respecting the dynamic behavior of factory operation, as well. The purpose of the modeling is to deepen the knowledge of the prevailing life cycle mechanisms and their implications for factory planning and operation. The application of the approach is demonstrated in an exemplary case study.
Keywords
- Evaluation, Factory, Lifecycle, Planning
ASJC Scopus subject areas
- Engineering(all)
- Mechanical Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: Production Engineering, Vol. 17, No. 3-4, 06.2023, p. 601-611.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Concept for modeling and quantitative evaluation of life cycle dynamics in factory systems
AU - Dér, Antal
AU - Hingst, Lennart
AU - Nyhuis, Peter
AU - Herrmann, Christoph
N1 - Funding Information: Open Access funding enabled and organized by Projekt DEAL. Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—412409961.
PY - 2023/6
Y1 - 2023/6
N2 - Against the background of the climate crisis, fast innovation space in emerging technologies and the global competitive environment for manufacturing companies, a sound understanding of the life cycle behavior of factory systems becomes more and more important. The decision context of the factory life cycle conveys a high level of complexity, e.g. by the heterogeneous nature of factory element life cycles, manifold interactions between them as well as external change drivers. A model-based understanding as well as methods and tools are required that support factory planners and operators in this regard. This paper presents an approach for the modeling and quantitative evaluation of life cycle dynamics in factory systems while respecting the dynamic behavior of factory operation, as well. The purpose of the modeling is to deepen the knowledge of the prevailing life cycle mechanisms and their implications for factory planning and operation. The application of the approach is demonstrated in an exemplary case study.
AB - Against the background of the climate crisis, fast innovation space in emerging technologies and the global competitive environment for manufacturing companies, a sound understanding of the life cycle behavior of factory systems becomes more and more important. The decision context of the factory life cycle conveys a high level of complexity, e.g. by the heterogeneous nature of factory element life cycles, manifold interactions between them as well as external change drivers. A model-based understanding as well as methods and tools are required that support factory planners and operators in this regard. This paper presents an approach for the modeling and quantitative evaluation of life cycle dynamics in factory systems while respecting the dynamic behavior of factory operation, as well. The purpose of the modeling is to deepen the knowledge of the prevailing life cycle mechanisms and their implications for factory planning and operation. The application of the approach is demonstrated in an exemplary case study.
KW - Evaluation
KW - Factory
KW - Lifecycle
KW - Planning
UR - http://www.scopus.com/inward/record.url?scp=85147341484&partnerID=8YFLogxK
U2 - 10.1007/s11740-023-01189-4
DO - 10.1007/s11740-023-01189-4
M3 - Article
VL - 17
SP - 601
EP - 611
JO - Production Engineering
JF - Production Engineering
SN - 0944-6524
IS - 3-4
ER -