Original Article | 2015, Vol.37, No.2, pp. 221-230
Optimized ready mixed concrete truck scheduling for uncertain factors using bee algorithm
Nuntana Mayteekrieangkrai and Wuthichai Wongthatsanekorn
pp. 221 - 230
Abstract
This research proposes a systematic model by using bee algorithm to optimize ready mixed concrete truck scheduling problem from a single plant to multiple sized receivers in a large search space using uncertain factors of bee algorithm compared to genetic algorithm. The objective is to minimize the total waiting durations of RMC trucks. Four benchmark problems with 3, 5, 9 and 12 construction sites are evaluated. Furthermore, eight additional problems are created from the previous four problems by varying demands and traveling durations, in order to prove the algorithm accuracy and efficiency. Hence, a total of 12 problems would be solved using both BA and GA. The simulation results show that the BA approach can get lower total waiting durations and faster than GA for all problems. This research offers a more efficient alternative for solving RMC truck scheduling.
