Optimizing Transport Logistics Processes with Multiagent Planning and Control [recurso electrónico] / by Max Gath.
Tipo de material: TextoSeries Advanced Studies Mobile Research Center BremenEditor: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2016Descripción: XXIII, 279 p. 59 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783658140038Tema(s): Computer science | Computers | Applied mathematics | Engineering mathematics | Computer Science | Information Systems and Communication Service | Appl.Mathematics/Computational Methods of EngineeringFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 005.7 Clasificación LoC:QA75.5-76.95Recursos en línea: Libro electrónicoTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
Dispatching Problems in Transport Logistics -- Multiagent-Based Transport Planning and Control -- Case Studies in Groupage Traffic and Courier, Express, and Parcel Services.
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. Contents Dispatching Problems in Transport Logistics Multiagent-Based Transport Planning and Control Case Studies in Groupage Traffic and Courier, Express, and Parcel Services Target Groups Researchers and practitioners in the fields of production and logistics as well as information and communication technology The Author 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.