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Saica Pack automates its facilities in Seville

 Automated storage at Saica Pack
Saica Pack automates its facilities in Seville
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  • Saica Pack increases its stock capacity with the new automated warehouse in Seville 
  • The new warehouse enables better inventory reliability, reduced loading times and significantly improved palletising quality, resulting in an improved service for customers and greater safety for employees. 

Saica Pack, the business division of the Saica Group that produces corrugated cardboard, has implemented an automated storage and automated transport solution at its facilities in Seville in order to increase the stock capacity of its warehouses without relying on external warehouses. The warehouse has been developed alongside ULMA Handling Systems and has a capacity of 7,000 pallets.

This new Saica Pack automated warehouse has enabled the company to improve its productivity by optimising the space used to store its finished product, achieving better inventory reliability, reducing loading times and significantly improving the quality of palletisation. In addition, this automation has eliminated manual processes, improving the operation and safety of the workers at the Seville facilities. 

ULMA was chosen as a collaborator for this major project, due to its extensive experience, its flexibility when designing solutions, and the great versatility of its computerised warehouse management tool. 

The solution developed for the Saica Pack production plant located in Seville consists of a self-supporting automated warehouse system that links the production area with the dispatch area, with a height of 30 metres and an automatic transport system.

Once the packaging product has been produced in the production plant, the AGVs are in charge of linking the production area with the warehouse area, and then transporting the material to the self-supporting silo. 

The automated warehouse is managed by four unit load stacker cranes, and thanks to ULMA's shuttle cart (VTD), the transport of dispatches is managed automatically. In addition, work is underway on optimised truck loading thanks to a solution for implementing different product delivery systems.


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