Maintenance and operation costs model for university buildings

Hrvoje Krstić ,Saša Marenjak

doi:10.17559/tv-20140606093626

Abstract

Costs of maintenance and operation are important part of the Life cycle costs. This paper describes development and validation of a new model for predicting average annual costs of maintenance and operations for the University buildings in Osijek with similar building characteristics. The model is developed based on historical cost data records obtained from 13 University buildings in Osijek for time period of 12 years starting from 1998. The model was tested at two new sets of data, in buildings outside of Osijek. The proposed operating and maintenance costs model requires reduced amount of data for predicting annual maintenance and operations costs of University buildings of similar building characteristics and highlights statistically significant data required for costs prediction. The model contains only few elements but yet can predict operating and maintenance costs. The proposed model enables maintenance and operations cost estimates already at the initial design phase.

Highlights

All participants in construction devote attention primarily to reduction of construction costs
Based on the conclusions from previous chapter and results of stepwise regression analysis three maintenance and operations cost models were developed with related regression coefficients
By applying those models it is possible to calculate average annual nominal maintenance and operations costs (MOC) of the University facilities expressed in Croatian national currency or in Euros

Summary

Introduction

All participants in construction devote attention primarily to reduction of construction costs. Participants are seldom devoted and pay any attention to reduction of maintenance and operations cost of facilities and as even more important to cutting down the life cycle costs of new and existing facilities [1]. Some participants in construction (for example architects and designers) have at their disposal a large number of different models and methods for assessment and scheduling of construction costs, but on the other hand there is a limited number of models and methods for planning future costs of facilities during the usage phase [2]. LCC perspective has proved to be most meaningful during the design phase where the possibilities of cutting down the costs related to operation and maintenance are large [4]. It has been reported that most of the LCC of a product are committed during the design stage [6]

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