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Autonomous Guided Vehicles: Methods and Models for Optimal Path Planning by Hame

Description: Autonomous Guided Vehicles by Hamed Fazlollahtabar, Mohammad Saidi-Mehrabad 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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. Back Cover 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. Table of Contents 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.- Producers Behavior Analysis for AGV System.- Risk for Multiple AGV System. Feature Offers a comprehensive review on methods for path planning optimization in autonomous guided vehicles Describes new models for scheduling and routing autonomous guided vehicles Covers advance industrial applications, especially in the area of manufacturing Details ISBN3319368230 Author Mohammad Saidi-Mehrabad Year 2016 ISBN-10 3319368230 ISBN-13 9783319368238 Format Paperback Imprint Springer International Publishing AG Subtitle Methods and Models for Optimal Path Planning Place of Publication Cham Country of Publication Switzerland DEWEY 629.892 Illustrations 29 Illustrations, black and white; XIV, 203 p. 29 illus. Language English Media Book Pages 203 Publication Date 2016-10-06 Short Title Autonomous Guided Vehicles Series Number 20 Edited by Ingo Pecher Birth 1974 Affiliation Massachusetts Institute of Technology Position journalist Qualifications S. J. Publisher Springer International Publishing AG Edition Description Softcover reprint of the original 1st ed. 2015 Series Studies in Systems, Decision and Control Alternative 9783319147468 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:116539151;

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Autonomous Guided Vehicles: Methods and Models for Optimal Path Planning by Hame

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ISBN-13: 9783319368238

Book Title: Autonomous Guided Vehicles

Item Height: 235 mm

Item Width: 155 mm

Author: Hamed Fazlollahtabar, Mohammad Saidi-Mehrabad

Publication Name: Autonomous Guided Vehicles: Methods and Models for Optimal Path Planning

Format: Paperback

Language: English

Publisher: Springer International Publishing Ag

Subject: Engineering & Technology, Computer Science

Publication Year: 2016

Type: Textbook

Item Weight: 3401 g

Number of Pages: 203 Pages

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