Development of Maintenance Prioritization Guideline for Historical Public Institution Buildings in Addis Ababa
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Date
2017
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Addis Ababa University
Abstract
This research deals with preparation of maintenance guidelines that enables the
prioritization of one historical building over the other. It also deals with identifying the
optimal maintenance type appropriate for historical buildings of public institutions in
Addis Ababa. The objectives of the research were to prepare maintenance inspection
checklist, to inspect and evaluate the maintenance condition of selected buildings and
to develop maintenance optimization model for one of the inspected historical
buildings, i.e., Menelik II School.
Different literatures were reviewed to prepare the inspection checklist and understand
trends of developed countries to record maintenance condition of buildings. Visual
inspections in conjunction with the developed condition inspection checklist were used
to evaluate the maintenance condition of eight historical buildings of public
institutions. The research found that six out of the eight selected historical buildings
were under „moderate‟ maintenance condition while the rest two buildings are in
„good‟ condition.
Moreover, the best possible maintenance decision was identified for one of the
selected historical buildings, namely, Menelik II School. The maintenance decision
was chosen by developing Markov decision process through prescribing appropriate
maintenance alternatives along with their detailed engineering cost estimates and by
estimating deterioration probabilities from Monte Carlo simulations for the different
maintenance decision alternatives. Linear programming was formulated for the
decision process to get the optimal maintenance alternative at different conditions of
the historical building under budget and time constraints.
The maintenance decision model, developed for Menelik II School, suggested to „donothing‟
when a building component is found in an excellent state; to do activities
prescribed under „preventive maintenance‟ for building components that are found
under good maintenance condition; to execute specified items of work for „repairing
defects‟ and „preventive maintenance‟ when building components are classified under
moderate condition.
Lastly, the decision model recommends to „replace building components‟ based on the
developed specification for building components that are in „poor and failed condition.
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Keywords
Prioritization, Maintenance, Inspection, Markov, Linear Programming