ICRA 2011 Paper Abstract


Paper WeP110.5

Morandin Jr, Orides (Federal University of São Carlos), Caridá, Vinicius Fernandes (Federal University of São Carlos - UFSCar), Reis Rodrigues Kato, Edílson (Federal University of São Carlos), Fonseca, Marcos Abraão de Souza (Federal University of São Carlos - UFSCar)

A Hierarchical Fuzzy Rule-Based Building Model applied to a AGV Dispatching System in an FMS

Scheduled for presentation during the Regular Sessions "Industrial Automation" (WeP110), Wednesday, May 11, 2011, 14:40−14:55, Room 5E

2011 IEEE International Conference on Robotics and Automation, May 9-13, 2011, Shanghai International Conference Center, Shanghai, China

This information is tentative and subject to change. Compiled on July 14, 2020

Keywords Manufacturing, Maintenance and Supply Chains, Intelligent Transportation Systems, Intelligent and Flexible Manufacturing


Excellence in manufacturing systems has been recognized as one of the main factors behind the success of industrial companies or production companies. New technology for manufacturing processes plays a significant role in this process. Achieving the potential of technological innovations in production, however, requires a wide range of management, as well as engineering issues related to the system. Material handling is a key component in reaching flexibility, manufacturing, dynamism and agility goals. The handling capacity of advanced materials is essential because without this ability of providing the material needed for the proper workstation at the right time and in the right amount, the whole plant will become "bogged down". This makes it less efficient and thus produces less profit and / or it operates at higher costs. This paper proposes a heuristic dispatching Automation Guided Vehicle (AGV) based on multiple attributes and fuzzy logic. Typically, the description of the rule base corresponds to all the possibilities of the connection between the input and output. The manual setting up of the rule base for a determined set of variables is not feasible when considering the efficiency the rules can offer in terms of performance during the inference process. It is also important to note that even for an expert in the field, the task of considering the quantitative value of the correct contribution where each rule affects the system becomes a difficult task. Taking this in



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