000 04033nam a22005535i 4500
001 978-3-319-14747-5
003 DE-He213
005 20200421111702.0
007 cr nn 008mamaa
008 150121s2015 gw | s |||| 0|eng d
020 _a9783319147475
_9978-3-319-14747-5
024 7 _a10.1007/978-3-319-14747-5
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aFazlollahtabar, Hamed.
_eauthor.
245 1 0 _aAutonomous Guided Vehicles
_h[electronic resource] :
_bMethods and Models for Optimal Path Planning /
_cby Hamed Fazlollahtabar, Mohammad Saidi-Mehrabad.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXIV, 203 p. 29 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Systems, Decision and Control,
_x2198-4182 ;
_v20
505 0 _aModels for AGVs' Scheduling and Routing -- Analytical Material Flow Model for AGV System -- Nonlinear Stochastic Modelfor AGV System -- Reliability Model for AGV -- Uncertain Optimal Path for AGV System -- Cross Entropy Model for AGV Routing Time -- Neuro-Fuzzy-Regression Expert System for AGV Optimal Path -- Optimal Path for AGV System with Intelligent Agents -- Earliness/Tardiness for a Multiple AGV System -- Markovian Model for Multiple AGV System -- Producer's Behavior Analysis for AGV System -- Risk for Multiple AGV System.
520 _a  This book provides readers with extensive information on path planning optimization for both single and multiple Autonomous Guided Vehicles (AGVs), and discusses practical issues involved in advanced industrial applications of AGVs. After discussing previously published research in the field and highlighting the current gaps, it introduces new models developed by the authors with the goal of reducing costs and increasing productivity and effectiveness in the manufacturing industry. The new models address the increasing complexity of manufacturing networks, due for example to the adoption of flexible manufacturing systems that involve automated material handling systems, robots, numerically controlled machine tools, and automated inspection stations, while also considering the uncertainty and stochastic nature of automated equipment such as AGVs. The book discusses and provides solutions to important issues concerning the use of AGVs in the manufacturing industry, including material flow optimization with AGVs, programming manufacturing systems equipped with AGVs, reliability models, the reliability of AGVs, routing under uncertainty, and risks involved in AGV-based transportation. The clear style and straightforward descriptions of problems and their solutions make the book an excellent resource for graduate students. Moreover, thanks to its practice-oriented approach, the novelty of the findings and the contemporary topic it reports on, the book offers new stimulus for researchers and practitioners in the broad field of production engineering.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 0 _aRobotics.
650 0 _aAutomation.
650 0 _aIndustrial engineering.
650 0 _aProduction engineering.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aRobotics and Automation.
650 2 4 _aIndustrial and Production Engineering.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aSaidi-Mehrabad, Mohammad.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319147468
830 0 _aStudies in Systems, Decision and Control,
_x2198-4182 ;
_v20
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-14747-5
912 _aZDB-2-ENG
942 _cEBK
999 _c55053
_d55053