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Synopsis
Max Gath presents a multiagent system for the optimization of transport logistics in highly complex and dynamic domains. The described solution dynamically optimizes processes and provides a high flexibility, scalability, robustness, and adaptability to individual customer demands. The experimental evaluation points out the effectiveness and efficiency by using the example of commonly applied benchmarks as well as two case studies in groupage traffic and in courier, express, and parcel services with same-day deliveries. Both case studies were performed with leading transport companies in Germany. The results demonstrate that the multiagent-based solution satisfies domain-specific requirements and exploits high optimization potential in real-world processes.
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À propos de l?auteur
Dr. Max Gath completed his doctoral degree at the Artificial Intelligence research group of TZI (Center for Communication and Information Technology), University of Bremen, Germany.
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Optimizing Transport Logistics Processes with Multiagent Planning and Control (Advanced Studies Mobile Research Center Bremen)
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Springer Vieweg, 2016
ISBN 10 : 365814002X
ISBN 13 : 9783658140021
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Soft cover. Etat : Fine. 1st Edition. Paperback, xxiii + 279 pages, NOT ex-library. Book looks unread, with unmarked text, free of inscriptions and stamps. N° de réf. du vendeur 008604
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Optimizing Transport Logistics Processes with Multiagent Planning and Control
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Springer Fachmedien Wiesbaden, 2016
ISBN 10 : 365814002X
ISBN 13 : 9783658140021
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Max Gath presents a multiagent system for the optimization of transport logistics in highly complex and dynamic domains. The described solution dynamically optimizes processes and provides a high flexibility, scalability, robustness, and adaptability to individual customer demands. The experimental evaluation points out the effectiveness and efficiency by using the example of commonly applied benchmarks as well as two case studies in groupage traffic and in courier, express, and parcel services with same-day deliveries. Both case studies were performed with leading transport companies in Germany. The results demonstrate that the multiagent-based solution satisfies domain-specific requirements and exploits high optimization potential in real-world processes. N° de réf. du vendeur 9783658140021
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Optimizing Transport Logistics Processes with Multiagent Planning and Control
Edité par
Springer Fachmedien Wiesbaden Sep 2016, 2016
ISBN 10 : 365814002X
ISBN 13 : 9783658140021
Neuf
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Max Gath presents a multiagent system for the optimization of transport logistics in highly complex and dynamic domains. The described solution dynamically optimizes processes and provides a high flexibility, scalability, robustness, and adaptability to individual customer demands. The experimental evaluation points out the effectiveness and efficiency by using the example of commonly applied benchmarks as well as two case studies in groupage traffic and in courier, express, and parcel services with same-day deliveries. Both case studies were performed with leading transport companies in Germany. The results demonstrate that the multiagent-based solution satisfies domain-specific requirements and exploits high optimization potential in real-world processes. 304 pp. Englisch. N° de réf. du vendeur 9783658140021
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Optimizing Transport Logistics Processes with Multiagent Planning and Control (Advanced Studies Mobile Research Center Bremen)
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Optimizing Transport Logistics Processes with Multiagent Planning and Control (Advanced Studies Mobile Research Center Bremen)
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Springer Vieweg 2016-09-22, 2016
ISBN 10 : 365814002X
ISBN 13 : 9783658140021
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Optimizing Transport Logistics Processes with Multiagent Planning and Control
ISBN 10 : 365814002X
ISBN 13 : 9783658140021
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Taschenbuch. Etat : Neu. Neuware -Max Gath presents a multiagent system for the optimization of transport logistics in highly complex and dynamic domains. The described solution dynamically optimizes processes and provides a high flexibility, scalability, robustness, and adaptability to individual customer demands. The experimental evaluation points out the effectiveness and efficiency by using the example of commonly applied benchmarks as well as two case studies in groupage traffic and in courier, express, and parcel services with same-day deliveries. Both case studies were performed with leading transport companies in Germany. The results demonstrate that the multiagent-based solution satisfies domain-specific requirements and exploits high optimization potential in real-world processes.Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Straße 46, 65189 Wiesbaden 304 pp. Englisch. N° de réf. du vendeur 9783658140021
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Optimizing Transport Logistics Processes With Multiagent Planning and Control
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