Details
| Original language | English |
|---|---|
| Pages (from-to) | 547-552 |
| Number of pages | 6 |
| Journal | Procedia CIRP |
| Volume | 104 |
| Early online date | 26 Nov 2021 |
| Publication status | Published - 2021 |
| Event | 54th CIRP Conference on Manufacturing Systems (CMS 2021) - Patras, Greece Duration: 22 Sept 2021 → 24 Sept 2021 Conference number: 54 |
Abstract
Volatile markets and high customer requirements regarding schedule reliability increase the relevance of robust production planning. To achieve robustness in planning, system-inherent buffers are used. Buffers include resource capacities that are kept free to respond to changes. Targets other than achieving the production plan are not considered, so a trade-off between reliability and the further development of the manufacturing process is not possible. This paper presents a new approach for production planning based on robustness analysis that enables a multi-criteria optimization. An information system enables the company-specific design of the robustness analysis.
Keywords
- Manufacturing systems, Ontology, Production planning, Robustness
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: Procedia CIRP, Vol. 104, 2021, p. 547-552.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Ontology-based production planning under the consideration of system robustness
AU - Denkena, Berend
AU - Dittrich, Marc André
AU - Münch, Gina Vibora
N1 - Conference code: 54
PY - 2021
Y1 - 2021
N2 - Volatile markets and high customer requirements regarding schedule reliability increase the relevance of robust production planning. To achieve robustness in planning, system-inherent buffers are used. Buffers include resource capacities that are kept free to respond to changes. Targets other than achieving the production plan are not considered, so a trade-off between reliability and the further development of the manufacturing process is not possible. This paper presents a new approach for production planning based on robustness analysis that enables a multi-criteria optimization. An information system enables the company-specific design of the robustness analysis.
AB - Volatile markets and high customer requirements regarding schedule reliability increase the relevance of robust production planning. To achieve robustness in planning, system-inherent buffers are used. Buffers include resource capacities that are kept free to respond to changes. Targets other than achieving the production plan are not considered, so a trade-off between reliability and the further development of the manufacturing process is not possible. This paper presents a new approach for production planning based on robustness analysis that enables a multi-criteria optimization. An information system enables the company-specific design of the robustness analysis.
KW - Manufacturing systems
KW - Ontology
KW - Production planning
KW - Robustness
UR - http://www.scopus.com/inward/record.url?scp=85121597255&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2021.11.092
DO - 10.1016/j.procir.2021.11.092
M3 - Conference article
AN - SCOPUS:85121597255
VL - 104
SP - 547
EP - 552
JO - Procedia CIRP
JF - Procedia CIRP
SN - 2212-8271
T2 - 54th CIRP Conference on Manufacturing Systems (CMS 2021)
Y2 - 22 September 2021 through 24 September 2021
ER -