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An Optimization Model for the Simultaneous Operational Flight and Pilot Scheduling Problem
Mirela Stojkovi\'{c}; Soumis, François - In: Management Science 47 (2001) 9, pp. 1290-1305
This paper describes and solves the operational pilot scheduling problem for one day of operations. The problem consists in simultaneously modifying, as necessary, the existing flight departure schedules and planned individual work days (duties) while keeping planned aircraft itineraries...
Persistent link: https://www.econbiz.de/10009191858
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Solving Airline Crew Scheduling Problems by Branch-and-Cut
Hoffman, Karla L.; Padberg, Manfred - In: Management Science 39 (1993) 6, pp. 657-682
approaches have always approximated the problem of finding an optimal schedule for even the smallest of an airline's fleets. The … solving to proven optimality large set partitioning problems arising within the airline industry. We first provide some … automatic reformulation procedures, heuristics and linear programming technology to assist in the solution. Numerical …
Persistent link: https://www.econbiz.de/10009218363
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Personaleinsatzplanung im Echtzeitbetrieb in Call Centern mit Künstlichen Neuronalen Netzen
Zakhariya, Halyna; Köller, Dr. Frank; Breitner, Prof. … - Institut für Wirtschaftsinformatik, … - 2008
ist daher eine optimierte Personaleinsatzplanung. In der Literatur wird das Call Center Management im Hinblick auf die … Personaleinsatzplanung häufig mit den analytischen Modellen der Warteschlangentheorie gelöst. Es soll festgestellt werden, inwieweit eine … Personaleinsatzplanung mit Hilfe Künstlicher neuronaler Netze des dreilagigen Perzeptrons unter Einsatz des FAUN6- Neurosimulators erfolgen …
Persistent link: https://www.econbiz.de/10005081092
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Optimierung von Warteschlangensystemen in Call Centern auf Basis von Kennzahlenapproximation
Köller, Frank; Breitner, Prof. Dr. Michael H. - Institut für Wirtschaftsinformatik, … - 2005
In diesem Aufsatz wird der Fragestellung nachgegangen, ob neuronale Netze in der Lage sind Kennzahlen für Warteschlangensysteme zu approximieren. Da für die meisten in der Praxis vorkommenden Warteschlangenprobleme keine exakten, expliziten Lösungen für die Warteschlangenkennzahlen...
Persistent link: https://www.econbiz.de/10005081101
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Crew Scheduling for Netherlands Railways: "destination: customer"
Kroon, L.G.; Fischetti, M. - Erasmus Research Institute of Management (ERIM), ERIM … - 2000
applied set covering model is solved by dynamic column generation techniques, Lagrangean relaxation and powerful heuristics …
Persistent link: https://www.econbiz.de/10005288512
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Models and algorithms for Integration of Vehicle and Crew Scheduling
Freling, R.; Huisman, D.; Wagelmans, A.P.M. - Erasmus Research Institute of Management (ERIM), ERIM … - 2000
Langrangian relaxations and Lagrangian heuristics. To solve the Lagrangian relaxations, we use column generation applied to set …
Persistent link: https://www.econbiz.de/10005288691
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Applying an Integrated Approach to Vehicle and Crew Scheduling in Practice
Freling, R.; Huisman, D.; Wagelmans, A.P.M. - Erasmus Research Institute of Management (ERIM), ERIM … - 2000
This paper deals with a practical application of an integrated approach to vehicle and crew scheduling, that we have developed previously. Computational results have shown that our approach can be applied to problems of practical size. However, application of the approach to the actual problems...
Persistent link: https://www.econbiz.de/10005288726
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Reinventing Crew Scheduling at Netherlands Railways
Fischetti, M.; Kroon, L.G.; Timmer, G.; Vromans, M.J.C.M.; … - Erasmus Research Institute of Management (ERIM), ERIM … - 2004
In this paper we describe the successful application of a sophisticated Operations Research model and the corresponding solution techniques for scheduling the 6,500+ drivers and conductors of the Dutch railway operator NS Reizigers (Netherlands Railways). In 2001 the drivers and conductors were...
Persistent link: https://www.econbiz.de/10005288848
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Models and algorithms for Integration of Vehicle and Crew Scheduling
Huisman, Dennis; Freling, Freling, R.; Wagelmans, … - Erasmus Research Institute of Management (ERIM), … - 2000
Langrangian relaxations and Lagrangian heuristics. To solve the Lagrangian relaxations, we use column generation applied to set …
Persistent link: https://www.econbiz.de/10010837617
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Crew Scheduling for Netherlands Railways: "destination: customer"
Kroon, Kroon, L.G.; Fischetti, Fischetti, M. - Erasmus Research Institute of Management (ERIM), … - 2000
applied set covering model is solved by dynamic column generation techniques, Lagrangean relaxation and powerful heuristics …
Persistent link: https://www.econbiz.de/10010731013