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Research Project
Associate Laboratory of Energy, Transports and Aeronautics
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MPC Approach for Synchronized Supply Chains of Perishable Goods
Publication . Hipólito, Tomás; Nabais, João; Carmona Benítez, R. B.; Ayala Botto, Miguel; Negenborn, R. R.
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 largescale
supply chains. Numerical results illustrate these statements.
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Funding agency
Fundação para a Ciência e a Tecnologia
Funding programme
6817 - DCRRNI ID
Funding Award Number
UID/EMS/50022/2013