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Decision-making for the refurbishment of multi-family residential buildings is a complex and
computationally difficult task. Therefore, the authors have developed a model that supports modernization
planning in a long-term and comprehensive manner, i.e. from assessing the building to indicating the optimal
scope of modernization. The comprehensive scope of the model includes the acquisition and provision
of relevant knowledge to the model. The original methods proposed for its acquisition are derived from
common expert knowledge based on linguistic terms. The methods adopted are not mandatory and may be
replaced by others that provide more reliable knowledge. The fundamental aim of the proposed approach,
however, is to select the optimal modernization option and allocate it over the planned modernization time
horizon. An innovative optimisation approach based on decision matrices is used, allowing the selection of
possible scenarios of repair options at each stage. These matrices are a set of constraints written in binary
variables allowing the optimisation calculus to maintain a fixed sequence of repairs. In addition, the solutions
used in the optimisation modules make it possible to take into account assumptions regarding the assumed
assessment of the building’s condition and financial constraints. The developed model provides a practical
and versatile tool that can be used by managers at the maintenance stage of residential buildings.
