Identification of needs for production resources during repairs, restoration and reconstruction strongly relies on administrative and engineering solutions. The scope of problems, addressed by these projects, encompasses limited production and non-production resources, as well as unpredictable external risks, or ambiguous initial information about construction facilities. Today all available decision-making principles, underlying the long-term planning of capital repairs and reconstruction of civil buildings, disregard a great number of production-related and administrative factors. Advanced design software and applications, developed on the basis of various mathematical principles, used to describe construction technologies and processes, facilitate decision making by specialists responsible for the implementation of such projects. In this case, principal factors include optimal labour costs and guaranteed quality. The article outlines basic decision-making principles underlying a program of capital repairs or reconstruction of civil buildings in operation. These principles are based on computing the potential of administrative and engineering solutions. Scientific research, conducted in the process of drafting this article, encompasses the analysis of various production-related factors characteristic of production processes, including capital repairs and reconstruction. These factors are represented as a system of linguistic data flow that specifies term sets and membership functions for each condition. Most significant factors are the technical condition of permanent buildings and structures, the attitude of consumers to the subject of the study, and its operation period starting upon completion of earlier repair or reconstruction, as well as the serviceability of internal and external engineering systems. As a result of scientific research, the authors developed and tested a new method used to identify the need for construction and installation work performed within the framework of capital repairs or renovation. The novel method includes specific requirements that apply to the scope of work and the sequence of its implementation.