Journal
AUTOMATION IN CONSTRUCTION
Volume 86, Issue -, Pages 69-80Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.autcon.2017.10.026
Keywords
Precast production; On-time delivery; Production costs; Optimization; Simulation; Genetic algorithm
Funding
- Key Technology and Development Program in Shanghai of the Shanghai Commission of Science and Technology [14DZ1207101]
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Current precast production scheduling methodologies have limited applicability in practice due to the neglect of real-world production circumstances. To improve, a two-hierarchy simulation-GA hybrid model for precast production (TSGH_PP) is developed to (1) specialize the operations of precast production according to their characteristics, (2) incorporate the uncertainty in processing time in practice, and (3) model the process-waiting time on the flow of work based on the genetic algorithm and discrete event simulation. In the proposed model, the trade-off can be achieved between the conflicting goals of the on-time delivery of precast components and minimum production cost, and the production resources configuration is optimized to cut down resource waste. Finally, a real case study is conducted to test the validity of TSGH_PP approach. The developed model fills the gap in simulation system design and methodology for precast production, and increases the applicability of precast production scheduling methods in real construction projects.
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