Details
| Translated title of the contribution | Innovative Disruption Management in XXL Assembly |
|---|---|
| Original language | German |
| Pages (from-to) | 681-684 |
| Number of pages | 4 |
| Journal | Zeitschrift für wirtschaftlichen Fabrikbetrieb (ZWF) (online) |
| Volume | 116 |
| Issue number | 10 |
| Early online date | 20 Oct 2021 |
| Publication status | Published - 31 Oct 2021 |
| Externally published | Yes |
Abstract
During the assembly of large-scale products, disruptions often occur. To reduce these disruptions, a straightforward approach to their systematic processing is needed. This should automatically identify similar disruptions and independently suggest sensible corrective measures. For this, the disruptions are first collected and characterized and a model for practical information flows is created. Then, in a multi-stage similarity search, similar disruptions are identified, and suitable corrective measures are derived.
ASJC Scopus subject areas
- Engineering(all)
- General Engineering
- Business, Management and Accounting(all)
- Strategy and Management
- Decision Sciences(all)
- Management Science and Operations Research
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In: Zeitschrift für wirtschaftlichen Fabrikbetrieb (ZWF) (online), Vol. 116, No. 10, 31.10.2021, p. 681-684.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Innovatives Störungsmanagement in der XXL-Montage
AU - Jagodzinski, Arne
AU - Böning, Christian
AU - Stonis, Malte
AU - Nyhuis, Peter
PY - 2021/10/31
Y1 - 2021/10/31
N2 - During the assembly of large-scale products, disruptions often occur. To reduce these disruptions, a straightforward approach to their systematic processing is needed. This should automatically identify similar disruptions and independently suggest sensible corrective measures. For this, the disruptions are first collected and characterized and a model for practical information flows is created. Then, in a multi-stage similarity search, similar disruptions are identified, and suitable corrective measures are derived.
AB - During the assembly of large-scale products, disruptions often occur. To reduce these disruptions, a straightforward approach to their systematic processing is needed. This should automatically identify similar disruptions and independently suggest sensible corrective measures. For this, the disruptions are first collected and characterized and a model for practical information flows is created. Then, in a multi-stage similarity search, similar disruptions are identified, and suitable corrective measures are derived.
KW - Einzel-und Kleinserienmontage
KW - Großskalige Produkte
KW - Störungscharakterisierung
KW - Störungsmanagement
KW - Äahnlichkeitsprüfung
UR - http://www.scopus.com/inward/record.url?scp=85118773008&partnerID=8YFLogxK
U2 - 10.1515/zwf-2021-0158
DO - 10.1515/zwf-2021-0158
M3 - Artikel
AN - SCOPUS:85118773008
VL - 116
SP - 681
EP - 684
JO - Zeitschrift für wirtschaftlichen Fabrikbetrieb (ZWF) (online)
JF - Zeitschrift für wirtschaftlichen Fabrikbetrieb (ZWF) (online)
SN - 0947-0085
IS - 10
ER -