Fazlollahtabar H., Saidi-Mehrabad M. Autonomous Guided Vehicles: Methods and Models for Optimal Path Planning

Springer Cham Heidelberg New York Dordrecht London, 2015, XIV, 203 p. 29 illus. — (Studies in Systems, Decision and Control, Vol. 20) — ISBN: 978-3-319-14746-8, ISBN: 978-3-319-14747-5 (eBook).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 manufacturingThis 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.Content Level » Research
Keywords » Automated Transport Systems - Dynamic Program - Feed-forward Neural Networks -Flexible Manufacturing Systems - Fuzzy Control - Intelligent Routing Techniques - Jobshop Manufacturing Systems - Mamdani Fuzzy System - Mobile Robots - Robot Expert System -Scheduling and Routing of AGVs
Related subjects » Artificial Intelligence - Computational Intelligence and Complexity - Production & Process Engineering - RoboticsModels 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.