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Información tecnológica

On-line version ISSN 0718-0764

Abstract

GARCES, Diego A  and  CASTRILLON, Omar D. Design of Intelligent Technology to Identify and Reduce Downtime in a Production System. Inf. tecnol. [online]. 2017, vol.28, n.3, pp.157-170. ISSN 0718-0764.  http://dx.doi.org/10.4067/S0718-07642017000300017.

This paper proposed a methodology based on an intelligent technique to analyze the failures in the different machines of a production line, in order to establish and identify the main variables that generate the greatest fraction of idle times in the system and to propose possible solutions. The development of the methodology was carried out in five steps. The first corresponds to the collection of information in a database; the second is the standardization of the description of the faults; the third is the application of data mining from the information collected; the fourth is the determination of the mathematical model to be applied; the fifth is to conclude from the results obtained. The tool used was WEKA (Waikato Environment for Knowledge Analysis) with the classification tree J48. The result of the proposed methodology in comparison with the current methodology, is positive, because it is achieved increase of 3.58 percentage points is achieved in the overall efficiency indicator. It is concluded that the tool is useful to identify and reduce idle times of a line of production.

Keywords : data mining; death time; maintenance; productions; WEKA; decision tree.

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