9783838302980 - scheduling and routing of vehicles: fleet size optimization de noureddine, labiad (9 resultados)
Idioma: Inglés
Editorial: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2009
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 77,22
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Condición: New. pp. 48.
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 43,35
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Taschenbuch. Condición: Neu. Scheduling and routing of vehicles | Fleet size Optimization | Labiad Noureddine | Taschenbuch | 48 S. | Englisch | 2009 | LAP LAMBERT Academic Publishing | EAN 9783838302980 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | A…nbieter: preigu.
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Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 49,00
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work addresses the problem of finding the minimum number of vehicles required to service weekly a set of customers subject to time windows. The specific structure of the problem requires that a full loaded vehicle serve only on…e customer each time it leaves the depot. As a consequence, all feasible schedules involve the same total distance traveled. The fleet is homogeneous and is located in a common depot. Vehicle capacity is finite, weekly mileage is limited, and split service is not permitted. Four heuristics are developed to obtain feasible solutions. Results are reported for 1000 randomly generated problems with up to 150 deliveries. It is shown that the new heuristics outperform the actual algorithm used by the Transportation Company in terms of computation time and the quality of solution. To gauge the quality of the solutions, three lower bounding procedures are developed. The first considers the 'bin packing aspect of the problem' with regard to the maximum weekly mileage. The second exploits the time windows constraints while the third lowerbounding method uses a network flow formulation. 48 pp. Englisch.
Idioma: Inglés
Editorial: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2009
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 77,40
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Condición: New. Print on Demand pp. 48 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
Idioma: Inglés
Editorial: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2009
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 78,79
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Condición: New. PRINT ON DEMAND pp. 48.
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Librería: moluna, Greven, Alemaniamoluna
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EUR 41,05
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This work addresses the problem of finding the minimum number of vehicles required to service weekly a set of customers subject to time windows. The specific structure of the problem requires that a full loaded vehicl…e serve only one customer each time it l.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 49,00
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This work addresses the problem of finding the minimum number of vehicles required to service weekly a set of customers subject to time windows. The specific structure of the problem requires that a full loaded vehicle serve only one cu…stomer each time it leaves the depot. As a consequence, all feasible schedules involve the same total distance traveled. The fleet is homogeneous and is located in a common depot. Vehicle capacity is finite, weekly mileage is limited, and split service is not permitted. Four heuristics are developed to obtain feasible solutions. Results are reported for 1000 randomly generated problems with up to 150 deliveries. It is shown that the new heuristics outperform the actual algorithm used by the Transportation Company in terms of computation time and the quality of solution. To gauge the quality of the solutions, three lower bounding procedures are developed. The first considers the 'bin packing aspect of the problem' with regard to the maximum weekly mileage. The second exploits the time windows constraints while the third lowerbounding method uses a network flow formulation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 48 pp. Englisch.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 49,59
Envío por EUR 60,45Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work addresses the problem of finding the minimum number of vehicles required to service weekly a set of customers subject to time windows. The specific structure of the problem requires that a full loaded vehicle serve only one cus…tomer each time it leaves the depot. As a consequence, all feasible schedules involve the same total distance traveled. The fleet is homogeneous and is located in a common depot. Vehicle capacity is finite, weekly mileage is limited, and split service is not permitted. Four heuristics are developed to obtain feasible solutions. Results are reported for 1000 randomly generated problems with up to 150 deliveries. It is shown that the new heuristics outperform the actual algorithm used by the Transportation Company in terms of computation time and the quality of solution. To gauge the quality of the solutions, three lower bounding procedures are developed. The first considers the 'bin packing aspect of the problem' with regard to the maximum weekly mileage. The second exploits the time windows constraints while the third lowerbounding method uses a network flow formulation.
