The present paper presents a SWOT analysis, the aim of which is to evaluate the strategic implementation of BIM technology in the construction industry in Poland. The authors created a SWOT matrix presenting strengths, weaknesses, opportunities, and risks associated with the use of BIM. Using literature analyses, own experience, and market reports, all elements of the SWOT matrix are described in detail. Basic indicators characterizing the strategic position of BIM on the Polish construction market are calculated. Finally, the matrix of strategic tasks and actions that should be applied in order to promote and develop BIM in Poland are defined.

The paper presents an approach to evaluating a building throughout its whole life cycle in relation to its sustainable development. Il describes basie tools and techniques of evaluating and analysing the costs

The model for estimating the whole life costs of the building life cycle that allows the quantification of the risk addition lets the investor to compare buildings at the initial stage of planning a construction project in terms of the following economic criteria: life cycle costs (LCC), whole life costs (WLC), life cycle equivalent annual costs (LCEAC) and cost addition for risk (ΔRLCC). The subsequent stages of the model development have been described in numerous publications of the authors, while the aim of this paper is to check the accuracy of the model in the case of changing the parameters that may affect the results of calculations. The scope of the study includes: comparison of the results generated by the model with the solutions obtained in the life cycle net present value method (LCNPV) for time and financial input data, not burdened with the risk effect; the analysis of the variability of results due to changes in input data; analysis of the variability of results as a consequence of changing the sets of membership functions for input data and methods for defuzzification the result.

The paper deals with estimating the life cycle cost and the whole life cost of a building. An original model for estimating the life cycle cost and the whole life cost of a building which allows the quantification of the increase in costs resulting from the incurred and assessed risk is presented. The proposed model consists of two basic parts: module I evaluating the impact of identified risk factors on individual element of the life cycle cost, and module II allowing to assess life cycle cost including the risk factors selected in module I. In module I the model of fuzzy inference of Mamdani was used. The structure of module II is based on the theory of possibilities and fuzzy sets. The operation of the model is presented on the example of an office building.

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