ISSN 2594-5297
56° Seminário de Laminação e Conformação de Metais — vol. 56, num.56 (2019)
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Abstract
The Brazilian steel industry is dealing an adverse scenario with direct competition from global emerging markets. In this scenario, the need to improve operational performance of his assets, makes the diversified and complex studies involving technical knowledge and asset life behavior, become important tools to support decision making process considering the performance, costs and operational risks relationship. The Asset Management approach support these studies in order to observe the whole asset life cycle, understand value chain through all company process and optimize the asset economic life. In this context, this article aims to support asset management decision making regarding ArcelorMittal Vega cold rolling drive motors, through the motors fail behavior modelling and estimated the risks involved in asset management decision. In this context, the present technical work has the propose to support the decision making regarding the management ArcelorMittal Vega Cold Rolling Mill. Through the Reliability, Availability and Mantenability (RAM) analysis, simulations were performed considering the failure, repair and cost data of asset life cycle. Athwart scenarios simulations the risk of performing preventive and corrective maintenance becoming available and thereby build options to mitigate the risks.
The Brazilian steel industry is dealing an adverse scenario with direct competition from global emerging markets. In this scenario, the need to improve operational performance of his assets, makes the diversified and complex studies involving technical knowledge and asset life behavior, become important tools to support decision making process considering the performance, costs and operational risks relationship. The Asset Management approach support these studies in order to observe the whole asset life cycle, understand value chain through all company process and optimize the asset economic life. In this context, this article aims to support asset management decision making regarding ArcelorMittal Vega cold rolling drive motors, through the motors fail behavior modelling and estimated the risks involved in asset management decision. In this context, the present technical work has the propose to support the decision making regarding the management ArcelorMittal Vega Cold Rolling Mill. Through the Reliability, Availability and Mantenability (RAM) analysis, simulations were performed considering the failure, repair and cost data of asset life cycle. Athwart scenarios simulations the risk of performing preventive and corrective maintenance becoming available and thereby build options to mitigate the risks
Keywords
Reliability; Mantenability; Availability; Asset Life Cicle Analisys
Reliability; Mantenability; Availability; Asset Life Cicle Analisys
How to refer
Cristofari, Carlos Alberto;
Thuler, Eliezer;
Neto, Ernesto Furtado de Mello;
Nunes, Claudio Vano.
RELIABILITY STUDY OF COLD MILL MOTORS AT ARCELORMITTAL VEGA
,
p. 141-150.
In: 56° Seminário de Laminação e Conformação de Metais,
São Paulo,
2019.
ISSN: 2594-5297
, DOI 10.5151/2594-5297-32444
