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Digital
Library of the European Council for Modelling and Simulation |
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Title: |
Simulation Of An Order
Picking System In A Manufacturing Supermarket Using Collaborative Robots |
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Authors: |
Fabio
Coelho, Susana Relvas, Ana P. Barbosa-Povoa |
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Published in:
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(2018). ECMS 2018
Proceedings Edited by: Lars Nolle, Alexandra
Burger, Christoph Tholen,
Jens Werner, Jens Wellhausen European Council for
Modeling and Simulation. doi:
10.7148/2018-0005 ISSN:
2522-2422 (ONLINE) ISSN:
2522-2414 (PRINT) ISSN:
2522-2430 (CD-ROM) 32nd European Conference on Modelling and Simulation, Wilhelmshaven, Germany, May 22nd
– May 265h, 2018 |
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Citation
format: |
Fabio
Coelho, Susana Relvas, Ana P. Barbosa-Povoa
(2018). Simulation Of An Order Picking System In A Manufacturing Supermarket
Using Collaborative Robots, ECMS 2018
Proceedings Edited by: Lars Nolle, Alexandra
Burger, Christoph Tholen,
Jens Werner, Jens Wellhausen European Council for
Modeling and Simulation. doi:
10.7148/2018-0083 |
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DOI: |
https://doi.org/10.7148/2018-0083 |
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Abstract: |
Manufacturing industries depend on
robust internal logistics operations that enable efficient production strategies,
as is the case of an assembly line feed by an internal logistics supermarket.
Agile decision making in flexible manufacturing elevates the need for
planning the overall shop-floor operations and controlling them. This work
explores the existing literature regarding the operation of manufacturing
supermarkets and proposes a simulation tool that analyses the order picking
activity in a logistics supermarket where the usage of robots is explored in
order to feed flexible manufacturing assembly lines efficiently leading to
economic savings. This is done using Simio – simulation modelling framework
based on intelligent objects. The model outputs suggest that the system
performance increases with humans. Although, when uncertainty is considered,
the collaborative robots are more flexible, which leads to lower variations
of performance. |
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