Ranking of building maintenance contractors using multi-criteria decision making methods and an artificial neural network model

Raad, N.; Isfahani, N.

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International Journal of Data and Network Science

ISSN 2561-8156 (Online) - ISSN 2561-8148 (Print) Quarterly Publication Volume 4 Issue 2 pp. 245-254 , 2020

Ranking of building maintenance contractors using multi-criteria decision making methods and an artificial neural network model Pages 245-254 Download PDF

Authors: Nima Golghamat Raad, Naser Mollaverdi Isfahani

DOI: 10.5267/j.ijdns.2019.12.001

Keywords: Contractor Selection, MCDM, ANN, Building, Maintenance

Abstract: Building Maintenance plays an important role throughout the building lifecycle from devis-ing conceptual plans to the end. Due to the high cost of building maintenance and the direct impact of maintenance effectiveness on the quality of life of building occupants, special attention must be devoted. One of the most important issues in this field is building maintenance contractor selection. This issue becomes even more critical in public buildings, such as hospitals, offices, and military centers. The purpose of this study is to present a method that can be used to select the contractor in such a way that the response robustness is high and the employed method is the most accurate one among other similar methods. To do this, the contractors are ranked by 7 multi-criteria decision-making methods. Then, the Spearman correlation coefficients are obtained for each pair of methods. When there is a significant difference between the outcomes of the methods, the output of each method is compared with the output of the Artificial Neural Network (ANN) model. The method with the least difference with the neural network output is taken as the superior method. After selecting the best method, a robustness analysis is performed on it to verify the stability of the answer. The proposed model is implemented on a real case study. Statistical analysis shows that the implementation of this method has increased the satisfaction of the residents.

How to cite this paper

 Raad, N & Isfahani, N. (2020). Ranking of building maintenance contractors using multi-criteria decision making methods and an artificial neural network model.International Journal of Data and Network Science, 4(2), 245-254.

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