Given a directed graph with capacities and blocker costs associated with its arcs, we study the maximum flow blocker problem (MFBP) which asks to find a minimum-cost subset of arcs to be removed from the graph in such a way that the remaining maximum-flow value does not exceed a given threshold....

In recent years, patient unpunctuality has become a common problem for mental clinics. The unpunctuality rate has a substantial impact on several quality metrics, including the usage of resources and patient waiting times. Thus, the primary aim of this study is to examine the effectiveness of...

Effective scheduling of twin automated stacking cranes (ASCs) in automated storage yard is critical to maximize operational efficiency. While Deep Reinforcement Learning (DRL) is promising in solving NP-hard scheduling problems, twin ASCs scheduling is challenging due to its unique properties...

To improve the efficiency of automatic stacking crane (ASC) and automated guided vehicle (AGV) scheduling in synchronized import and export mode at automated container terminal (ACT), with the objective of minimizing the maximum ASC completion time and AGV wait time, a twin ASCs and AGV...

In the era of Industry 4.0, order scheduling is a crucial link in the production of manufacturing enterprises. In view of order scheduling in manufacturing enterprises, a finite horizon MDP (Markov decision process) model is proposed in this work based on two sets of equipment and three types of...