In this paper, research results are presented and discussed on the efficient use of additive manufacturing (AM) machine workspace with a specific focus on the features of part construction and decomposition, which provide savings of material and energy. Statistical analysis of the distribution of material by subspaces revealed some relationship between construction features and the effectiveness of part decomposition. The initial triangulated model was converted into a voxel model, and the latter is analyzed with the proposed algorithm. The workspace of an AM machine was divided into subspaces of the same volume with parallel steadily distributed planes perpendicular to the coordinate axes. Based on the models of typical industrial parts, it was proving that the algorithm was able to analyze the effectiveness of part decomposition. Moreover, some indexes were proposed to allow the quantitative analysis of part decomposition and packing (workspace planning task) effectiveness. The proposed index of the specific volume of utilised workspace enabled the minimising of the cost of given parts by using AM processes.

The peculiarity of additive manufacturing is that steps are formed on the product surface resulting from the layered building. The steps’ dimensions are determined by the deviations of the real surface from its correct shape specified by 3D model of the product. The orientation of the 3D model of the product in the workspace of the additive machine and the building step are the main factors determining the sizes of the steps. The article presents the results of a statistical analysis of deviations from the correct shape of the product surface obtained by additive manufacturing and based on a 3D model. Industrial products with varying surface complexity were selected as test 3D models. These 3D models were studied in a variety of orientation options in the workspace of the additive machine. Slicing 3D models were used to form a set of layers according to strategies, with a constant and variable step. The obtained results of the statistical analysis allow scientifically substantiated assessment of the efficiency of the joint solution of optimization tasks to determine the slicing parameters and rational orientation of the product in the workspace of an additive machine, depending on its complexity.

The study is devoted to a comprehensive analysis of the introduction of additive technologies into modern construction production, revealing the technical, economic, and managerial aspects of concrete 3D-printing of architectural structures. The work systematically analyzes the evolution of additive manufacturing technologies and identifies the main structural types of 3D-printers (an additive machine for layer-by-layer construction of objects), including portal, robotic, mobile, and hybrid systems. A detailed study of the technological parameters of concrete 3D-printing with concrete mixtures is presented, in particular, optimal printing speed modes, layer parameters, criteria for shaping and quality of building structures. A comparative analysis of the technological capabilities of leading world equipment manufacturers, such as ICON, COBOD International, Apis Cor, and WinSun, is conducted. The economic analysis demonstrates significant advantages of additive technologies: reduction of construction time by 2-6 times, reduction of construction cost by 20-35%, and increase in the load-bearing capacity of structures. The study comprehensively explores the structure of capital and operational expenses associated with technology implementation. Special emphasis is placed on the management aspects of introducing additive technologies, highlighting the critical need for an interdisciplinary approach and knowledge integration across architecture, engineering, management, and computer modeling. The study determines the prospects for the development of concrete 3D-printing technology in the construction industry and outlines the main directions of further scientific research and practical implementation of innovative solutions. This study was developed between the Department of "Integrated Technologies of Mechanical Engineering" named after M. Semko of NTU "KhPI" and "Geopolimer" LTD to implement innovative technologies in the construction industry.