A model for managing the flow of tasks to repair teams in a dynamic planning environment

Industrial equipment maintenance schedules are subject to constant changes: unscheduled tasks arise, deadlines change, and resource availability is limited. Static optimization models (for example, based on mixed integer linear programming) ensure a balanced initial distribution of work, but require a complete recalculation of the schedule for each disturbance. The article proposes a model for the operational management of task flows for repair teams based on the concept of Workload Control (WLC). This concept implements the local adaptation of the schedule in real time by controlling the admission of new tasks, forecasting the workload and mechanisms for the reallocation of work. The model based on mixed integer linear programming is used as a source of constraints (loading boundaries and permissible assignments), forming the starting state for the dynamic contour of the WLC. Three scenarios with varying degrees of job variability have been modeled. It has been shown that the use of WLC reduces congestion peaks, increases the launch rate of tasks and ensures schedule stability with an increase in unscheduled work. The resulting model can be used as part of MRO information management systems and complies with the principles of intelligent equipment maintenance in accordance with GOST R ISO 13381-1-2016 and GOST R 71839-2024.