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A knowledge tailor-made method oriented to robotization of process: a case study of aeronautical materials’ drilling

  • Gustavo Franco BarbosaEmail author
  • Willian de Andrade Bezerra
Technical Paper
  • 11 Downloads

Abstract

This paper aims to propose a novel knowledge tailor-made management method (KTMM) for industrial automation, to assist managers, project leaders and engineers interested on robotization of manufacturing. It looks for integrating the phases of analyzes, prospecting, development, deployment and evaluation of a robotized process. Specifically, this research focuses on the extraction of valuable knowledge, background and practical experience of the author in the field of industrial automation linked to literature review and motivated by the unavailability of a specific method in the literature that assists the entire process of robotization on the shop floor. The proposed KTMM was designed and supported by supply, input, process, output, control and knowledge management methodologies and integrated with the specialist skills and expertise of the author acquired in the organizational environment. To demonstrate the application of the proposed method, a case study of a robotized drilling process has been carried out in order to fulfill the KTMM method and its tasks. KTMM drives all steps of a robot implementation, increasing the efficiency, reducing cost and improving the quality, supporting the company to the competitive market. In addition, the proposal encourages the work team integration, aiming the sharing of knowledge and different skills.

Keywords

Knowledge management Robotization Manufacturing 

Notes

Acknowledgements

We would like to acknowledge the supports of Nova Tecnologia, OSG Sulamericana and Robotmaster® companies in this development and implementation efforts.

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Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2019

Authors and Affiliations

  • Gustavo Franco Barbosa
    • 1
    Email author
  • Willian de Andrade Bezerra
    • 2
  1. 1.Department of Mechanical EngineeringFederal University of Sao CarlosSão CarlosBrazil
  2. 2.Department of Automation EngineeringFederal Institute of Sao PauloSão CarlosBrazil

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