1999 Volume 61 Issue 2 Pages 157-164
An algorithm for farm work scheduling named SFSW (Stochastic Farm Work Scheduling Algorithm Based on Short Range Weather Variation) was developed based on managing the risk of daily weather variation. The risk was evaluated by costs which were then minimized in the optimization. Genetic algorithms were utilized for optimization in order to attain flexibility.
The optimization was established through two steps; the first step was to decide the proper time to do jobs by minimizing the expected costs due to the effect of daily weather, and the second step was to decide the allocation of machinery by minimizing the costs of idle time of machinery and incomplete jobs. The schedule must be updated daily in order to extend the period covered by the schedule and adjust the schedule to the most recent conditions.
