Overtime capacity expansion in order acceptance with node based estimation of distribution algorithms

Order acceptance with overtime capacity expansion requires trading off between over and under capacity utilization in order to gain more profits. This research proposes an overtime capacity utilization order acceptance model and proposes adaptations of node based estimation of distribution algorithm to solve the order acceptance decisions in multi-process environments. The results show that node based coincidence algorithm is a potential algorithm which can maximize both profit and can maximize the capacity utilization at the same time.