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Autonomous Guided Vehicles : Methods and Models for Optimal Path Planning

Author: Hamed Fazlollahtabar; Mohammad Saidi-Mehrabad
Publisher: Cham [Switzerland] : Springer, 2015. ©2015
Series: Studies in systems, decision and control, volume 20.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Hamed Fazlollahtabar; Mohammad Saidi-Mehrabad
ISBN: 9783319147475 3319147471 3319147463 9783319147468
OCLC Number: 900633046
Description: 1 online resource.
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 --
Producer's Behavior Analysis for AGV System --
Risk for Multiple AGV System.
Series Title: Studies in systems, decision and control, volume 20.
Responsibility: Hamed Fazlollahtabar, Mohammad Saidi-Mehrabad.
More information:

Abstract:

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.

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