Maintenance framework to address the interaction of components using simulation

  • Authors:
  • Luiz Augusto G. Franzese;Daniel de Oliveira Mota;Marcelo Moretti Fioroni;Yuri Amaral C. L. Mourão;Douglas José da Silva;Isac Reis Santana;Johanna Gomez Quevedo;Farley Santos Ribeiro;Marcelo Nazaro Silva;Fernando A. Lage Gonçalves;Thiago A. M. Brandão Diniz;Marcelo Barcelos Gomes

  • Affiliations:
  • PARAGON Tecnologia, São Paulo, Brazil;PARAGON Tecnologia, São Paulo, Brazil;PARAGON Tecnologia, São Paulo, Brazil;PARAGON Tecnologia, São Paulo, Brazil;PARAGON Tecnologia, São Paulo, Brazil;PARAGON Tecnologia, São Paulo, Brazil;PARAGON Tecnologia, São Paulo, Brazil;Anglo American -- IOB Business Unit, Belo Horizonte, Brazil;Anglo American -- IOB Business Unit, Belo Horizonte, Brazil;Anglo American -- IOB Business Unit, Belo Horizonte, Brazil;Anglo American -- IOB Business Unit, Belo Horizonte, Brazil;Anglo American -- IOB Business Unit, Belo Horizonte, Brazil

  • Venue:
  • Proceedings of the Winter Simulation Conference
  • Year:
  • 2011

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Abstract

Maintenance has been a constant concern in industries. This paper intends to address the maintenance plan in a complex system. Based on the beneficiation plant of Minas Rio Project, the model proposed takes into consideration the consequences of the maintenance schedule in the whole production. In this production chain, a complex structure called "State Control" is used to simulate the information flow throughout the equipment. The visibility of the complete system under a maintenance perspective allows the decision maker to propose plans, test them and minimize losses, generating new strategies to the production and maintenance system. The application of Arena Professional (Distributed by Rockwell Automation) to develop the project allows the identification of bottlenecks, and expected production per year. The results obtained in the studied scenarios allowed identifying the bottlenecks and change the strategies of maintenance, to enable the beneficiation plant achieve the nominal productivity.