Fuzzy sets on step of planning of experiment for organization and management of construction processes

Abstract

Abstract. In this article, problems of mathematical modeling and experiment planning of the organization and management of construction. The authors designated the basic restrictions and the difficulties in this field. Concluded that the planning of research experiment is possible in the information sphere with using of heuristic, graphical, mathematical models, as well as neural networks and genetic algorithms. The authors note the need for use of expert information in the case of the formalization of quality parameters. The article presented an overview of the translation methods of qualitative information into mathematical language. Comparison of methods the qualimetry of USSR scientists, the analytic hierarchy process and fuzzy set theory were performed. The benefits of the latter for interpretation of qualitative parameters were identified. The authors have given many examples of application fuzzy sets for formalization of organizational factors of construction processes. Finally, there conclusion was made about progressiveness and effectiveness of fuzzy set theory to describe the qualitative parameters of organization and management of construction.

Measurement of the intensity of construction and installation works taking into account the level of organizational and technological reliability

“…Measurement of the indicator "intensity of CIW production" in physical units provides higher reliability in comparison with application of monetary characteristics [8 -10, 27]. Simple methods of calculation do not require special mathematical training that is needed, for example, to apply the theory of fuzzy sets [12].…”

“…Assessment of the value of organizational and technological reliability in relation to the indicator "intensity of production of CIW" is carried out at the stage of development of organizational and technological construction project [12]. In the process of designing the author proposes to evaluate the reliability of the estimated duration.…”

Artificial Neural Network for Organization and Management of Construction Process

“…); Cs: g 3 -мастер, g 4 -прораб, g 5 -инженер технического надзора, g 6 -начальник участка; It: g 7 -исполнительная документация, g 8 -электронный документооборот (включает в себя также оснащение строительного участка необходимой компьютерной техникой, ведение фотоконтроля); Ts: g 9 -комплектация звеньев (в соответствии с нормам организации труда и состава работ), g 10состав производственных потоков (в соответствии с графиком производства работ); Wc: g 11непосредственно погодные условия, g 12 -выполнение необходимых дополнительных мероприятий по производству работ в специфических погодных условиях. Каждый сенсор g представляет собой элементарный организационно-технологический фактор, для измерения которого применяется разработанный в предыдущих работах [15] аппарат измерения компонентов системы АИКС (рис.2). на основе теории нечетких множеств [16].…”

Modeling of construction waste processing system development

“…For example, 'Maschinenfabrik Liezen und Gieberei Ges.m.b.H (MFL)' is the leading European equipment manufacturer for grinding and processing of minerals and recycled construction material scrap. Austrian companies have innovative production facilities, fitted out with high-performance equipment and technical instruments, which allow producing a vast range of crushing and screening plants on a turnkey basis [12,13,14].…”