Scheduling of automated ore terminal operations based on fixed inflow rhythm

To facilitate transportation, some mines construct specialized ore terminals for outbound shipments. However, these terminals frequently encounter challenges when synchronizing their schedules with the production plans of the mines. The primary issue arises due to the inherent deviation between vessel demand and mine production schedules. The terminals must efficiently arrange storage positions for diverse cargo types and berthing orders of vessels to reduce the time vessels spend at the terminal and operation time. In this study, we propose a comprehensive two-step model framework that considers various customer priorities to optimize the operational plans for each operation. In the first step, we propose a column-generation approach to generate candidate berth plans. Subsequently, we evaluate the feasibility of berth plans and construct an infeasible CUT to modify the model. We implement the developed framework in real-world case studies to demonstrate its practicality and potential. Computational outcomes underscore the method’s efficacy in resolving coordination challenges between mines and terminals. Furthermore, it exhibits a noteworthy capability to diminish the terminal’s spatial requirements, enhancing its pragmatic value.