TY - JOUR
N2 - Worker absenteeism is identified as the greatest threat to not meeting the completion date of a construction project. The purpose of this paper is to quantify the impact of employee absenteeism risk on the probabilistic lead time of a construction project. Calculations of employee absenteeism risk values were performed using data from the Central Statistical Office (Big Data). Probabilistic schedules with probability density functions (Normal, Exponential, Reyleigh, Triangle, Gamma, Cauchy) with and without calculated employee absenteeism risk were prepared. Student’s t-test and MAPE analysis of mean absolute percentage errors were performed to determine differences between groups. It was found that with respect to the probability of completing the task in the range of 75 to 95% for all functions, an unacceptable MAPE error of 32.82% to 69.23% arises. Therefore, the authors postulate that the risk of worker absenteeism should be considered in every construction process when performing probabilistic scheduling, i.e., in the Building Information Modeling BIM methodology.
L1 - http://rhis.czasopisma.pan.pl/Content/125664/PDF/art02_int.pdf
L2 - http://rhis.czasopisma.pan.pl/Content/125664
PY - 2022
IS - No 4
EP - 44
DO - 10.24425/ace.2022.143024
KW - absenteeism
KW - BIM
KW - construction process
KW - risk
KW - time
A1 - Rogalska, Magdalena
A1 - Hejducki, Zdzisław
PB - WARSAW UNIVERSITY OF TECHNOLOGY FACULTY OF CIVIL ENGINEERING and COMMITTEE FOR CIVIL ENGINEERING POLISH ACADEMY OF SCIENCES
VL - vol. 68
DA - 2022.12.30
T1 - The possible impact of employee absenteeism risk on a construction project
SP - 31
UR - http://rhis.czasopisma.pan.pl/dlibra/publication/edition/125664
T2 - Archives of Civil Engineering
ER -