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~subject:"Business process management"
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Business process management
Scheduling-Verfahren
59
Scheduling problem
55
Theorie
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Durchlaufzeit
20
Lead time
20
Algorithm
19
Algorithmus
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Production control
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Produktionssteuerung
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Produktionsplanung
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Makespan
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Heuristics
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Heuristik
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Production planning
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Risikomanagement
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Risk management
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Total completion time
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Warteschlangentheorie
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Lagerhaltungsmodell
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Robustes Verfahren
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Financial services
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Finanzdienstleistung
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Mathematische Optimierung
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Reihenfolgeproblem
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Robust statistics
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scheduling
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Cellular manufacturing
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Containerschifffahrt
4
Evolutionärer Algorithmus
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Fertigungsinsel
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Inventory model
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Operational risk
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Operationelles Risiko
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Prozessmanagement
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Pinedo, Michael
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Dawande, Milind
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Dickersback, Jorg Thomas
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Geismar, H. Neil
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Kreipl, Stephan
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Sriskandarajah, Chelliah
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Xu, Yuqian
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Foundations and trends in technology, information and operations management
1
Handbook of production scheduling
1
Manufacturing & service operations management : M & SOM
1
Production and operations management : the flagship research journal of the Production and Operations Management Society
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ECONIS (ZBW)
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Multiple part-type production in robotic cells : equivalence of two real-world models
Dawande, Milind
;
Pinedo, Michael
;
Sriskandarajah, Chelliah
- In:
Manufacturing & service operations management : M & SOM
11
(
2009
)
2
,
pp. 210-228
Persistent link: https://www.econbiz.de/10003852805
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2
Operations in financial serves : processes, technologies, and risks
Pinedo, Michael
;
Xu, Yuqian
-
2017
Persistent link: https://www.econbiz.de/10011804898
Saved in:
3
Planning and scheduling in healthcare for better care coordination : current understanding, trending topics, and future opportunities
Youn, Seokjun
;
Geismar, H. Neil
;
Pinedo, Michael
- In:
Production and operations management : the flagship …
31
(
2022
)
12
,
pp. 4407-4423
Persistent link: https://www.econbiz.de/10014265853
Saved in:
4
Coordination issues in supply chain planning and scheduling
Kreipl, Stephan
;
Dickersback, Jorg Thomas
;
Pinedo, Michael
- In:
Handbook of production scheduling
,
(pp. 177-212)
.
2006
Persistent link: https://www.econbiz.de/10003410328
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