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Complexity
Volume 2017 (2017), Article ID 3759514, 15 pages
https://doi.org/10.1155/2017/3759514
Research Article

An Approach to Integrating Tactical Decision-Making in Industrial Maintenance Balance Scorecards Using Principal Components Analysis and Machine Learning

Department of Construction and Manufacturing Engineering, Universidad Nacional de Educación a Distancia (UNED), C/Juan del Rosal 12, 28040 Madrid, Spain

Correspondence should be addressed to Rosario Domingo

Received 26 May 2017; Revised 26 July 2017; Accepted 29 August 2017; Published 12 October 2017

Academic Editor: Romualdas Baušys

Copyright © 2017 Néstor Rodríguez-Padial et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Néstor Rodríguez-Padial, Marta Marín, and Rosario Domingo, “An Approach to Integrating Tactical Decision-Making in Industrial Maintenance Balance Scorecards Using Principal Components Analysis and Machine Learning,” Complexity, vol. 2017, Article ID 3759514, 15 pages, 2017. doi:10.1155/2017/3759514