A model based on genetic algorithms for maximizing precast plant production under resource constraints

A precast production plant mainly consists of reinforcement cage set-up, form fabrication, installment of reinforcement cages, mosaic or tiling fitting, placing concrete, steam curing, stripping forms and cleaning, as well as carrying out trowelling and finishing operations. Manufacture on a precast production basis calls for equipment such as cranes, forms and steam curing facilities, and skilled laborers. How to set up the production schedule plan is an important issue for the plant manager in order to maximize the plant's production under resource constraints. A new resource-constrained production scheduling system is proposed in this paper. A genetic algorithm-based searching technique is adopted in the system. The system can effectively provide the optimal or near-optimal combination of production sequences, resource utilization, and minimum makespan under the constraint of limited resources. Sensitivity analysis is also conducted to identify the impact of resource combinations on precast production scheduling.