Abstract

The paper presents the results of research of the influence of product range parameters on the indicators of development of the design capacities of precast construction plants. The quantity and concrete consumption of products in terms of 1 m2 of total area, as well as the circulation of products, have been taken as the analyzed parameters of product range. It is noted that calculations of production capacity and basic technical and economic indicators of production at the stage of technological design are based on the product range of a typical block section of a house series. At the same time, architectural individuality, flexibility of planning and design solutions of prefabricated houses buildings in industrial design require a variety of modifications of block sections, which is inextricably linked with the growth of the range of manufactured products. Expansion of the range of products for modifications of block sections in the production program of plants is an objective regularity that should be taken into account in the technological design of new or reconstruction of existing precast constructions plants and planning production programs for housing construction. Significant fluctuations in the parameters of the product range in the production programs of plants have been recorded. A regression analysis of the parameters of the range products of production programs of precast construction plants has been carried out. The dependence of product range on the share of dotted houses in housing construction programs has been established. The main parameters of houses determining fluctuations in the range of products have been identified, which include the number of storeys and the number of sections in the house configuration. Taking into account the fact of the significant influence of the product range on the production capacity of plants, the dependence of the indicator of compliance of the concrete capacity of products with 1 m2 of total area on the production capacity indicators has been established. The reliability of the obtained mathematical models is confirmed by the results of statistical processing of research results and verification of models in calculations of the current production capacity of plants.

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