000			03111nam a22004455i 4500
001			u376009
003			SIRSI
005			20160812084351.0
007			cr nn 008mamaa
008			110719s2011 gw | s |||| 0|eng d
020			_a9783642200922 _9978-3-642-20092-2
040			_cMX-MeUAM
050		4	_aTA177.4-185
082	0	4	_a658.5 _223
100	1		_aSchuldt, Arne. _eauthor.
245	1	0	_aMultiagent Coordination Enabling Autonomous Logistics _h[recurso electrónico] / _cby Arne Schuldt.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_aXVI, 272 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aPart I Logistics Requirements -- Introduction -- Supply Network Management -- Autonomous Control in Logistics -- Part II Multiagent-Based Approach -- Agent Technology -- Potential for Cooperation in Autonomous Logistics -- Team Formation in Autonomous Logistics -- Team Action in Autonomous Logistics -- Part III Application and Evaluation -- Implementing Autonomous Logistics -- A Case Study in Container Logistics -- Transition to Autonomous Logistics -- Conclusion and Outlook -- Index.
520			_aThis book describes the implementation of autonomous control with multiagent technology. Therewith, it tackles the challenges of supply network management caused by the complexity, the dynamics, and the distribution of logistics processes. The paradigm of autonomous logistics reduces the computational complexity and copes with the dynamics locally by delegating process control to the participating objects. As an example, shipping containers may themselves plan and schedule their way through logistics networks in accordance with objectives imposed by their owners. The technologies enabling autonomous logistics are thoroughly described and reviewed. The presented solution has been used in a realistic simulation of real-world container logistics processes. The validation shows that autonomous control is feasible and that it outperforms the previous centralised dispatching approach by significantly increasing the resource utilisation efficiency. Moreover, the multiagent system relieves human dispatchers from dealing with standard cases, giving them more time to solve exceptional cases appropriately.
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aEngineering economy.
650		0	_aManagement information systems.
650	1	4	_aEngineering.
650	2	4	_aEngineering Economics, Organization, Logistics, Marketing.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aBusiness Information Systems.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642200915
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-20092-2
596			_a19
942			_cLIBRO_ELEC
999			_c203889 _d203889