The Context of the Circular Economy Model Implementation, Based on Indicators of the European Union in/for Ukraine by Means of Fuzzy Methods

Vorobec, Stepan; Voytsekhovska, Viktoriya; Zahoretska, Olena; Kozyk, Vasyl

doi:10.1007/978-3-030-97008-6_4

Cited by 4 publications

(1 citation statement)

References 9 publications

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“…Today, there is a lot of research and practical results on digital transformation of construction [1][2], modeling and automation of construction process [3], using new ways of performing work, which are based on the principles of resource conservation, sustainable development, reuse of materials [26,31,[35][36][37][38][39][40] achievements of robotics, modern methods of quality control and reliability [4], the use of drones and other means of observation to control the progress of construction works [5][6] and etc. Now, the computerization of the construction process is taking place creating BIM [7] or CALS models [8], which should include information at all stages of the life cycle of the objects [9].…”

Section: Introductionmentioning

confidence: 99%

Improving the Organization and Financing of Construction Project by Means of Digitalization

Bіelіenkova¹,

Novak²,

Matsapura³

et al. 2022

IJETAE

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Nowadays the leading trend in the construction industry is the creation of building information models of construction objects (BIM-models), which are able to accumulate information about all stages of design, construction of the object and its operation. Today the structure of BIM models includes several blocks that take into account architectural and planning decisions, the constructive part, the part of construction technology and organization, cost estimates and operation of objects. The article proposes to supplement the block “construction organization” with models for forecasting seasonality, since the organizational and technological parameters of the same type of processes can differ significantly when they are performed at different times of the year. The article suggests an algorithm for forecasting the effect of seasonality on construction processes, a database structure, which should accumulate data on deviations during construction, namely: deviations in cost, labor intensity and construction terms. The authors propose a methodical approach to identifying the effect of seasonal fluctuations on construction parameters and an approach to creating models that could be used for adjusting construction schedules, supplies of materials and technical resources, optimization of labor resources and planning of financial flows of construction projects. The proposed system will allow you to accumulate data on deviations of resources and financial flows of construction while constructing various objects and store them in the format of BIM models. The resulting database is the basis for creating dependencies that will allow taking into account the impact of seasonality on the construction parameters of similar objects or technologically similar works. Each season, the relevant database must be adjusted and supplemented. In addition, the digital model, if necessary, can provide information and practical experience on organizational, technological, financial, legal ways and methods of eliminating construction deviations and preventing risks

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