Title: A decision support system for maintenance benchmarking in big buildings

Authors: María Carmen Carnero

Addresses: Technical School of Industrial Engineering, University of Castilla-La Mancha, Avda. Camilo José Cela, s/n, 13071 Ciudad Real, Spain

Abstract: Maintenance has not traditionally been considered an important factor in the firm's productivity and competitiveness - until the past decade at least - so this function offers organisations considerable potential for improvement. The use of benchmarking in maintenance could consequently help firms gain a competitive advantage. This article presents a decision support system that uses the analytic hierarchy process (AHP), fuzzy AHP and utility functions to carry out competitive and generic benchmarking in big buildings. Using data on the state of maintenance in firms in the big buildings sector and in firms with more than 500 employees in other industrial sectors in Spain, the author built discrete probability distributions for each criterion evaluated and each industrial sector analysed. All the information available from the sector is used in the comparisons rather than mean values. The decision support system is tested in two big buildings: a hospital and a department store. [Received 6 April 2012; Revised 25 February 2013; Revised 12 June 2013; Accepted 28 July 2013]

Keywords: maintenance benchmarking; fuzzy AHP; analytical hierarchy process; FAHP; discrete probability distributions; Monte Carlo simulation; decision support systems; DSS; large buildings; Spain; hospitals; department stores; building maintenance.

DOI: 10.1504/EJIE.2014.061064

European Journal of Industrial Engineering, 2014 Vol.8 No.3, pp.388 - 420

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 24 May 2014 *

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