000756420 000__ 03013cam\a2200433Ii\4500
000756420 001__ 756420
000756420 005__ 20230306142014.0
000756420 006__ m\\\\\o\\d\\\\\\\\
000756420 007__ cr\cn\nnnunnun
000756420 008__ 160714s2016\\\\gw\\\\\\ob\\\\000\0\eng\d
000756420 020__ $$a9783658140038$$q(electronic book)
000756420 020__ $$a3658140038$$q(electronic book)
000756420 020__ $$z9783658140021
000756420 035__ $$aSP(OCoLC)ocn953581657
000756420 035__ $$aSP(OCoLC)953581657
000756420 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dYDXCP$$dGW5XE$$dIDEBK$$dN$T$$dOCLCF$$dAZU
000756420 049__ $$aISEA
000756420 050_4 $$aHE192.5
000756420 08204 $$a388$$223
000756420 1001_ $$aGath, Max,$$eauthor.
000756420 24510 $$aOptimizing transport logistics processes with multiagent planning and control$$h[electronic resource] /$$cMax Gath ; with a foreword by Prof. Dr. Otthein Herzog.
000756420 264_1 $$aWiesbaden :$$bSpringer Vieweg,$$c2016.
000756420 300__ $$a1 online resource.
000756420 336__ $$atext$$btxt$$2rdacontent
000756420 337__ $$acomputer$$bc$$2rdamedia
000756420 338__ $$aonline resource$$bcr$$2rdacarrier
000756420 4901_ $$aAdvanced studies Mobile Research Center Bremen
000756420 504__ $$aIncludes bibliographical references.
000756420 5050_ $$aDispatching Problems in Transport Logistics -- Multiagent-Based Transport Planning and Control -- Case Studies in Groupage Traffic and Courier, Express, and Parcel Services.
000756420 506__ $$aAccess limited to authorized users.
000756420 520__ $$aMax Gath presents a multiagent system for the optimization of transport logistics in highly complex and dynamic domains. The described solution dynamically optimizes processes and provides a high flexibility, scalability, robustness, and adaptability to individual customer demands. The experimental evaluation points out the effectiveness and efficiency by using the example of commonly applied benchmarks as well as two case studies in groupage traffic and in courier, express, and parcel services with same-day deliveries. Both case studies were performed with leading transport companies in Germany. The results demonstrate that the multiagent-based solution satisfies domain-specific requirements and exploits high optimization potential in real-world processes. Contents Dispatching Problems in Transport Logistics Multiagent-Based Transport Planning and Control Case Studies in Groupage Traffic and Courier, Express, and Parcel Services Target Groups Researchers and practitioners in the fields of production and logistics as well as information and communication technology The Author Dr. Max Gath completed his doctoral degree at the Artificial Intelligence research group of TZI (Center for Communication and Information Technology), University of Bremen, Germany.
000756420 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 20, 2016).
000756420 650_0 $$aTransportation$$xPlanning.
000756420 650_0 $$aShipment of goods.
000756420 830_0 $$aAdvanced studies.
000756420 852__ $$bebk
000756420 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-658-14003-8$$zOnline Access$$91397441.1
000756420 909CO $$ooai:library.usi.edu:756420$$pGLOBAL_SET
000756420 980__ $$aEBOOK
000756420 980__ $$aBIB
000756420 982__ $$aEbook
000756420 983__ $$aOnline
000756420 994__ $$a92$$bISE