Optimization of multi-period supply chain planning with dynamic replacement of leader-follower relationship

Abstract

In recent years, the global supply chain contains many uncertain elements. It is necessary to flexibly respond to the change to make an optimal decision-making. For supply chain decision-making, the game theoretical approaches are widely used and have addressed leader-follower relationship. However, most of conventional works assume that the leader-follower relationship for multiple companies are treated as constant in all time periods. In this paper, a multi-period supply chain planning model that can change the relation of supply chain over time periods under uncertainty is developed. The effects on the change of leader-follower relationship are investigated from computational experiments.