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Title:MPC approach for synchronized supply chains of perishable goods
Authors:T. Hipolito, J.L. Nabais, R. Carmona-Benitez, M. Ayala Botto, R.R. Negenborn

Conference:7th International Conference on Industrial Engineering and Systems Management (IESM 2017)
Address:Saarbrucken, Germany
Date:October 2017

Abstract:The movement of perishable goods is growing worldwide. Perishable goods need to be available to the market before the expiration date. With the decrease in inventory levels the components of a supply chain become even more integrated and dependent on coordinated decisions. Information regarding perishable goods must be visible throughout the supply chain for avoiding goods loss. A Model Predictive Control (MPC) heuristic to address operations management at supply chains of perishable goods is proposed in this paper. The approach is capable to follow the remaining time until expiration date which is critical to avoid losses. The supply chain is modeled using a state-space representation and operations management at the supply chain is formulated as an MPC Problem. In order to cope with operational decisions, the problem is solved on a periodic basis. The proposed approach is capable to deal with production decisions, monitor work-in-progress (WIP), and make transport assignments while monitoring the remaining time until the expiration date. Flows over the supply chain can be synchronized and therefore we named this type of supply chain a Synchronized Supply Chain (SSC). The approach is modular and easily scalable for large-scale supply chains. Numerical results illustrate these statements.

Reference:T. Hipolito, J.L. Nabais, R. Carmona-Benitez, M. Ayala Botto, R.R. Negenborn. MPC approach for synchronized supply chains of perishable goods. Accepted for the 7th International Conference on Industrial Engineering and Systems Management (IESM 2017), Saarbrucken, Germany, October 2017.
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