Information technology is proposed to implement the solution of the two-stage problem of optimal placement in the construction industry, combining the tasks of optimal placement of industrial enterprises under construction and optimal distribution of construction teams by facilities under construction. At the first stage, the tasks of partial integer programming of the placement of industrial enterprises under construction and transportation of finished products to consumers are solved, which ensure minimization of total construction and transportation costs. To solve this problem of partial-integer programming, the Benders partition method is used, which allows decomposing the original NP-difficult problem into a sequence of linear programming transport problems, which significantly reduces computing resources compared to a complete enumeration of options. At the second stage, the multi-criteria task of allocating labor resources is solved with two contradictory criteria: minimizing transportation costs for the transportation of work crews and maximizing the completeness of meeting the labor needs of facilities under construction. To solve this problem, the method of the main criterion and the method of constructing a Pareto set are used with formation of a generalized objective function and variation of the weight parameter, which allows the decision-maker to consciously choose a compromise between costs and employment. The developed technology is implemented in the form of a web application with a client part in HTML/CSS/JavaScript, a server part in C# using the ASP.NET Core platform and the MVC architectural pattern, as well as a computing module based on Microsoft Excel using the "Solution Search" add-on and VBA language. The results of a computational experiment are presented on the example of the location of enterprises for the production of building materials in six districts of the Republic of Tatarstan. It is shown that the optimal choice of three plants out of six can reduce costs by 1420.1 million standard units (rubles) compared to the construction of all potential enterprises. For the multi-criteria brigade allocation problem, a Pareto set is obtained demonstrating the range of possible trade-offs.
PLACEMENT OPTIMIZATION, INTEGER PROGRAMMING, PARTIAL INTEGER PROGRAMMING, TRANSPORT PROBLEM, MULTI-CRITERIA OPTIMIZATION, BENDERS METHOD, GOMORI CLIPPING METHOD, CONSTRUCTION CREWS, INDUSTRIAL ENTERPRISES, PRODUCTION OF BUILDING MATERIALS
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