Supervisory multi-model control for supply chains with large uncertainty on the perishability rate

Defining an efficient inventory management of Perishable Supply Chains (PSCs) becomes a very difficult problem when the "a priori"information on the perishability rate is affected by a large degree of uncertainty. In this paper we face this problem using a multi-model based supervisor and a reconfigurable min-max Robust Model Predictive Control (RMPC). The twofold task of the supervisor is: 1) identify the most likely uncertainty scenario, 2) drive towards it the current min-max MPC law