Attenuating bullwhip effect using robust-intelligent controller

A Robust-Intelligent controller based on sliding mode control theory and neural network is presented to reduce the bullwhip effect in supply chain. A state space model used to design and evaluate the performance of the proposed controller. The neural network control strategy is studied to overcome the “chattering” of the sliding mode controller. The numerical simulations are curried out to check the effectiveness of proposed robust-intelligent controller. The obtained results demonstrate that the proposed controller can effectively suppress the bullwhip effect. Furthermore it is shown that the chattering of sliding mode controller is smoothed when it is integrated with a neural network control strategy.