A simulation and design of experiments modeling approach to minimize building maintenance costs
In this paper, a methodology is presented to integrate maintenance policy selection into the design and construction process. A simulation model identifies the quality attributes for the maintenance process to determine the funds to be allocated to maintenance in the building's design and construction phases in order to minimize maintenance costs. The output of the simulation model is a value of excess labor hours above a specified level. The simulation output is used in a 2(4) factorial experimental design to identify the quality attributes that have the greatest impact on costs. A Taguchi loss function based on the minimized quantity of excess labor hours and historical expenditures provides the tool to relate maintenance priorities to design and construction. Quality characteristics for maintenance are modified in the feedback process and result in a more maintainable building. (C) 2002 Elsevier Science Ltd. All rights reserved.
simulation design of experiments maintenance costs taguchi loss function