TY - JOUR
T1 - Multiobjective Optimization Model for Planning Repetitive Construction Projects
AU - Altuwaim, Ayman
AU - El-Rayes, Khaled
N1 - The authors gratefully acknowledge the support by the Researchers Supporting Project, number (RSP-2020/280), King Saud University, Riyadh, Saudi Arabia.
PY - 2021/7/1
Y1 - 2021/7/1
N2 - Minimizing the duration of repetitive construction projects such as high-rise buildings and highway construction often requires interrupting the work continuity of construction crews and/or utilizing overtime hours. Available scheduling models for repetitive construction projects can generate optimal trade-offs between minimizing project duration and crew work interruptions; however, they are incapable of minimizing the use of overtime hours. This paper developed a novel multiobjective optimization model for repetitive construction projects that is capable of generating optimal trade-offs among project duration, work interruptions, and overtime use. The model was developed in three main phases (1) a formulation phase that identified all relevant decision variables and formulated the three objective functions of the model; (2) an implementation phase that executed the model computations using multiobjective genetic algorithms; and (3) a performance evaluation phase. The results of this performance evaluation confirmed that the model outperforms existing models in minimizing the use of overtime hours, and generating optimal trade-offs among project duration, crew work interruptions, and overtime use.
AB - Minimizing the duration of repetitive construction projects such as high-rise buildings and highway construction often requires interrupting the work continuity of construction crews and/or utilizing overtime hours. Available scheduling models for repetitive construction projects can generate optimal trade-offs between minimizing project duration and crew work interruptions; however, they are incapable of minimizing the use of overtime hours. This paper developed a novel multiobjective optimization model for repetitive construction projects that is capable of generating optimal trade-offs among project duration, work interruptions, and overtime use. The model was developed in three main phases (1) a formulation phase that identified all relevant decision variables and formulated the three objective functions of the model; (2) an implementation phase that executed the model computations using multiobjective genetic algorithms; and (3) a performance evaluation phase. The results of this performance evaluation confirmed that the model outperforms existing models in minimizing the use of overtime hours, and generating optimal trade-offs among project duration, crew work interruptions, and overtime use.
KW - Construction management
KW - Linear scheduling
KW - Multiobjective genetic algorithms
KW - Optimization
KW - Overtime
KW - Repetitive construction
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U2 - 10.1061/(ASCE)CO.1943-7862.0002072
DO - 10.1061/(ASCE)CO.1943-7862.0002072
M3 - Article
AN - SCOPUS:85105877705
SN - 0733-9364
VL - 147
JO - Journal of Construction Engineering and Management
JF - Journal of Construction Engineering and Management
IS - 7
M1 - 04021072
ER -