Science and Technology Production
Article
Authorship
Achkar, Victoria G.
;
Bar, Valentina
;
Franco Cornu
;
MENDEZ, CARLOS ALBERTO
Date
2020
Publishing House and Editing Place
BERKELEY ELECTRONIC PRESS
Magazine
INTERNATIONAL JOURNAL OF FOOD ENGINEERING,
vol. 16
(pp. 20170089-201700102)
BERKELEY ELECTRONIC PRESS
Summary
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SIGEVA
This study proposes an advanced discrete-event simulation-based tool to support decision-making in the internal logistic design of a packaging line of a multinational brewery company. The selected software, Simio, allows emulating, advising and predicting the behavior of complex real-world systems. The simulation model provides a 3D interface that facilitates verification and validation. In this work, the designed model is used to understand the dynamic interactions between multiple factors and...
This study proposes an advanced discrete-event simulation-based tool to support decision-making in the internal logistic design of a packaging line of a multinational brewery company. The selected software, Simio, allows emulating, advising and predicting the behavior of complex real-world systems. The simulation model provides a 3D interface that facilitates verification and validation. In this work, the designed model is used to understand the dynamic interactions between multiple factors and performance measures including both material-handling and inventory systems and to define necessary quantities and/or capacities of resources for a future can packaging line. Based on the proposed model, a what-if analysis is performed to determine inventory threshold values and other critical variables in order to optimize the configuration of internal logistics in potential scenarios.
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Key Words
can packaging linediscrete-event simulationdesignlogistics