TY - JOUR
T1 - A fuzzy discrete event simulation framework for construction applications
T2 - Improving the simulation time advancement
AU - Sadeghi, Naimeh
AU - Fayek, Aminah Robinson
AU - Seresht, Nima Gerami
PY - 2016/12/1
Y1 - 2016/12/1
N2 - Discrete event simulation (DES) has been widely used for scheduling and analysis of construction projects. Integration of DES with fuzzy logic enhances the capabilities of DES by capturing imprecise, subjective, and linguistically expressed knowledge in the simulation inputs using fuzzy numbers. However, available fuzzy discrete event simulation (FDES) methodologies have significant shortcomings in handling fuzzy ranking and updating of the simulation time. These limitations often result in the inaccurate estimation of the start and completion times for individual activities and the whole project. This paper presents a new approach for calculating the event times to increase the accuracy of simulation time estimation in FDES. The major contributions of this paper are in integrating DES with fuzzy logic to increase its applicability in the construction domain and increasing the accuracy of FDES results. The proposed FDES approach was implemented in a construction project scheduling example, which confirms the higher accuracy of the proposed methodology compared to existing FDES methodologies.
AB - Discrete event simulation (DES) has been widely used for scheduling and analysis of construction projects. Integration of DES with fuzzy logic enhances the capabilities of DES by capturing imprecise, subjective, and linguistically expressed knowledge in the simulation inputs using fuzzy numbers. However, available fuzzy discrete event simulation (FDES) methodologies have significant shortcomings in handling fuzzy ranking and updating of the simulation time. These limitations often result in the inaccurate estimation of the start and completion times for individual activities and the whole project. This paper presents a new approach for calculating the event times to increase the accuracy of simulation time estimation in FDES. The major contributions of this paper are in integrating DES with fuzzy logic to increase its applicability in the construction domain and increasing the accuracy of FDES results. The proposed FDES approach was implemented in a construction project scheduling example, which confirms the higher accuracy of the proposed methodology compared to existing FDES methodologies.
KW - Construction management
KW - Fuzzy sets
KW - Quantitative methods
KW - Simulation
U2 - 10.1061/(ASCE)CO.1943-7862.0001195
DO - 10.1061/(ASCE)CO.1943-7862.0001195
M3 - Article
AN - SCOPUS:84996555396
VL - 142
JO - Journal of Construction Engineering and Management - ASCE
JF - Journal of Construction Engineering and Management - ASCE
SN - 0733-9364
IS - 12
M1 - 04016071
ER -