000			03141nam a22004935i 4500
001			978-3-658-14003-8
003			DE-He213
005			20200420221249.0
007			cr nn 008mamaa
008			160711s2016 gw | s |||| 0|eng d
020			_a9783658140038 _9978-3-658-14003-8
024	7		_a10.1007/978-3-658-14003-8 _2doi
050		4	_aQA75.5-76.95
072		7	_aUT _2bicssc
072		7	_aCOM069000 _2bisacsh
072		7	_aCOM032000 _2bisacsh
082	0	4	_a005.7 _223
100	1		_aGath, Max. _eauthor.
245	1	0	_aOptimizing Transport Logistics Processes with Multiagent Planning and Control _h[electronic resource] / _cby Max Gath.
264		1	_aWiesbaden : _bSpringer Fachmedien Wiesbaden : _bImprint: Springer Vieweg, _c2016.
300			_aXXIII, 279 p. 59 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aAdvanced Studies Mobile Research Center Bremen
505	0		_aDispatching Problems in Transport Logistics -- Multiagent-Based Transport Planning and Control -- Case Studies in Groupage Traffic and Courier, Express, and Parcel Services.
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.
650		0	_aComputer science.
650		0	_aComputers.
650		0	_aApplied mathematics.
650		0	_aEngineering mathematics.
650	1	4	_aComputer Science.
650	2	4	_aInformation Systems and Communication Service.
650	2	4	_aAppl.Mathematics/Computational Methods of Engineering.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783658140021
830		0	_aAdvanced Studies Mobile Research Center Bremen
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-658-14003-8
912			_aZDB-2-SCS
942			_cEBK
999			_c52492 _d52492