東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Autonomous guided vehicles = methods...

Fazlollahtabar, Hamed.

Linked to FindBook

Google Book

Amazon

博客來

Autonomous guided vehicles = methods and models for optimal path planning /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Autonomous guided vehicles/ by Hamed Fazlollahtabar, Mohammad Saidi-Mehrabad.
Reminder of title:	methods and models for optimal path planning /
Author:	Fazlollahtabar, Hamed.
other author:	Saidi-Mehrabad, Mohammad.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xiv, 203 p. :ill., digital ;24 cm.
[NT 15003449]:	Models 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.
Contained By:	Springer eBooks
Subject:	Automobiles - Automatic control. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-14747-5
ISBN:	9783319147475 (electronic bk.)

Autonomous guided vehicles = methods and models for optimal path planning /
Fazlollahtabar, Hamed.

Autonomous guided vehiclesmethods and models for optimal path planning /[electronic resource] :by Hamed Fazlollahtabar, Mohammad Saidi-Mehrabad. - Cham :Springer International Publishing :2015. - xiv, 203 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.202198-4182 ;. - Studies in systems, decision and control ;v.3..

Models 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.

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.

ISBN: 9783319147475 (electronic bk.)

Standard No.: 10.1007/978-3-319-14747-5doiSubjects--Topical Terms:

818360
Automobiles
--Automatic control.

LC Class. No.: TL154

Dewey Class. No.: 629.232

Autonomous guided vehicles = methods and models for optimal path planning /
LDR:03149nmm a2200325 a 4500 001 1994956
003 DE-He213
005 20150902133537.0
006 m d
007 cr nn 008maaau
008 151019s2015 gw s 0 eng d
020 $a 9783319147475 (electronic bk.)
020 $a 9783319147468 (paper)
024 7 $a 10.1007/978-3-319-14747-5 $2 doi
035 $a 978-3-319-14747-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TL154
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 629.232 $2 23
090 $a TL154 $b .F287 2015
100 1 $a Fazlollahtabar, Hamed. $3 2134090
245 1 0 $a Autonomous guided vehicles $h [electronic resource] : $b methods and models for optimal path planning / $c by Hamed Fazlollahtabar, Mohammad Saidi-Mehrabad.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xiv, 203 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4182 ; $v v.20
505 0 $a Models 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 $a Automobiles $x Automatic control. $3 818360
650 0 $a Mobile robots. $3 697579
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Robotics and Automation. $3 1066695
650 2 4 $a Industrial and Production Engineering. $3 891024
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
700 1 $a Saidi-Mehrabad, Mohammad. $3 2134091
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in systems, decision and control ; $v v.3. $3 2058249
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-14747-5
950 $a Engineering (Springer-11647)