The Simulation Model for Predicting the Productivity of the Reinforced Concrete Slabs Concreting Process

Authored by Biljana Matejevic, Milorad Zlatanovic, Dusan Cvetkovic

Date Published: 2018

DOI: 10.17559/tv-20170627195003

Sponsors: No sponsors listed

Platforms: AnyLogic

Model Documentation: Other Narrative

Model Code URLs: Model code not found

Abstract

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.

Tags

Productivity Construction Concreting process Predicting Reinforced concrete slab The simulation model