This paper presents an approach to predicting the productivity of the concreting process based on a conducted quantitative research involving the recording of concreting at building construction sites in the city of Nis, Serbia. In the period of 20 months, 81 recordings of reinforced slabs on eight construction sites of buildings were observed and recorded. The total amount of poured concrete was 11951 m 3 and the total consumed time was 503 work hours. The factors that could impact productivity have been identified and a simulation model for predicting the productivity of the concreting process has been developed using Discrete Event Simulation and Agent Based Modelling. AnyLogic software package was used to develop the simulation model. Experiments were carried out and based on the obtained parameters the models are estimated. The proposed models can be useful in the planning stage and allow for more precise prediction of concreting productivity, thus benefiting the decision making and work flow prediction and improving the concreting process management in order to increase productivity, shorten the delays, and reduce costs.
For a successful realization of a civil engineering project, it is necessary to possess good quality dynamic plans of construction works and of resource involvement. Depending on the type and size of the structure, appropriate type of dynamic plan ought to be used. The plan realization must constantly be observed and updated in order to ensure their full effectiveness. This paper presents the results of a research through a survey of dynamic plan implementation in our civil engineering practice. The results are based on the data processed from the responses to the questions asked in the survey of 45 construction enterprises in Serbia
During constructing of any structure, there are a large number of factors impacting the total performance of the construction site. One of very important factors is productivity. Because of the specific nature and importance of concreting works, when constructing a building structure, it is necessary to pay a special attention to execution of these works. In this paper is analyzed the productivity in general sense, as well as productivity in civil engineering, with a focus on productivity in the course of concreting works. The importance of concreting works is emphasized, and the concreting works technology is described. A review and a description of the factors affecting the concreting process productivity are provided. A productivity analysis is performed on the concrete construction site based on the data obtained by recording the concreting process, and some of the results are provided.
The paper presents functions for determining the movement speed of the truck mixers when transporting concrete to the site. Functions based on the collected data during the concreting of columns, walls, slabs and beams at the construction sites in Nis have been formed. Since the supply of some of the observed construction sites was from concrete factories located in the city itself, and some were supplied from factories outside the city, two functions were proposed for calculating the speed of the mixer movement. These functions for predicting the movement speed, and thus determining the time required for the arrival / departure of the mixers to / from the site, can be useful in calculating the duration of the truck mixer cycle, performance, as well as determining the number of truck mixer needed for synchronized operation with the unloading machine.
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