Details
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 547-552 |
Seitenumfang | 6 |
Fachzeitschrift | Procedia CIRP |
Jahrgang | 104 |
Frühes Online-Datum | 26 Nov. 2021 |
Publikationsstatus | Veröffentlicht - 2021 |
Veranstaltung | 54th CIRP Conference on Manufacturing Systems (CMS 2021) - Patras, Griechenland Dauer: 22 Sept. 2021 → 24 Sept. 2021 Konferenznummer: 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.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
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in: Procedia CIRP, Jahrgang 104, 2021, S. 547-552.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › 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 -