Abstract
The approaches applied until recently to the organization of construction production are based on the most effective management solution choice based on an assessment of its technical and economic efficiency. This does not take into account the degree of man-made impact on humans and the environment, as well as the effectiveness of this solution at all object's life cycle stages. This significantly reduces their effectiveness. In the concept of BIM technologies, the life cycle of a construction object consists of several stages. To manage a construction object, it is necessary to develop mathematical models that allow making optimal decisions that are effective for all stages of the life cycle. As an efficiency indicator in the selection of certain solutions, a criterion is proposed that allows taking into account both the given unit costs for the implementation of control solutions and the degree of technogenic impact from their implementation. In addition, the developed model makes it possible to determine the probability of finding an object at a particular stage of the life cycle (the occurrence of a particular position). The proposed system of information and mathematical support is based on a model of the construction object life cycle in the form of a transition graph. At the same time, this model allows you to accept as an object of management both a separate building (structure) and significant elements of an urban agglomeration (for example, a residential neighborhood, an industrial area). The life cycle decomposition into stages and states in which the construction object resides throughout its duration is substantiated. To determine the probability of an object staying at a particular stage (in a particular state) with a given resource, a transition matrix was compiled and mathematical dependencies were obtained. Thus, the information and mathematical support of the methodology for managing a construction object throughout the life cycle has been developed, taking into account the environmental safety of the decisions taken. The developed model makes it possible to achieve a significant reduction in the complexity of the search and increase the effectiveness of the optimal management solution.
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More From: Биосферная совместимость: человек, регион, технологии
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