Subsystem for Data Processing and Decision Support in Construction Production Management

   The process of managing the production activities of construction organizations operating in an unstable environment is accompanied by the collection and processing of large amounts of data. For this reason, the management apparatus at various levels of the organizational system of construction production management is often unable to promptly process the information coming to the input of the management system and make timely effective management decisions based on it. Thus, there is an objective need to automate the processes of collecting and processing data in the management system of a construction organization operating in an unstable environment. One of the approaches to solving this problem should include the creation of a subsystem for processing data and supporting management and business decisions in the organizational management system. The article proposes one of the approaches to building a subsystem for data processing and decision support in the process of managing the production activities of a construction organization operating in unstable
environmental conditions. The structural diagram of this subsystem includes the following main modules: environmental monitoring designed to collect data reflecting the current state of the construction organization and its external environment; a module for primary processing of data on the state of the environment of the construction organization; a database and a database of goals, respectively, designed to store a knowledge representation model that defines in general terms the predicted changes in the external environment and the expected goals of improving the efficiency of functioning and development of construction production in various operating conditions; a logical inference module in which, based on the information received at the input of the subsystem and the knowledge representation model, recommendations are automatically generated for the decision maker; a module for synthesis and analysis of the current problem situation designed to build a formal description of problem situations arising at the control object; a module for extracting a problem from the environment and selecting the best alternative action; a linguistic processor used to organize a dialog mode of communication between the decision maker and a data processing and decision support subsystem. The article pays special attention to the methods of solving various problems by the logical inference module, which is the basic element of the decision support subsystem. In particular, the main problems that a decision maker faces under uncertainty are defined and effective ways to overcome them are shown. As an example, typical elements of knowledge representation in the goal base are constructed on a situational basis, which is one of the main modules of the data processing and decision support subsystem in the process of managing construction production in an unstable environment.

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