Robust dynamic schedule coordination control in the supply chain

Coordination plays crucial role in supply chain scheduling. In this paper, we extend the existing body of literature on supply chain scheduling by representing the robust schedule coordination approach. A hybrid discrete/continuous flow shop supply chain with job shop processes at each supplier stage is studied with dynamic optimal control models. We consider operations, channel, resource and flow control models with multiple objectives. Computational procedure and model integration are described. Based on this model, we introduce a robust analysis of schedule coordination in the presence of disruptions in capacities and supply. The application of attainable sets opens a possibility to analyse feasible schedule executions under disruptions. Subsequently, we integrate the schedule coordination issues into robustness analysis, exemplify the developed approach for the case of two-stage supply chain coordination, and derive managerial insights for both considered scheduling problem and application of dynamic control methods to supply chain schedule coordination in general.