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Swiss Steel in operation with the Material Tracking and Flow Control System (MTS) of AIS - 15 Oct 2008
AIS successfully completed the implementation of a MTS including Production Order Tracking in Switzerland. Swiss Steel (SWST, formerly von Moos Stahl) situated in Emmenbrücke/Switzerland has selected the AIS solution for a plant-wide Material and Production Order Tracking Syst ...
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ArcelorMittal Tubarão upgrades BetaPlanner Hot Strip Mill scheduling system in Vitória, Brazil - 24 Jul 2008
ArcelorMittal Tubarão, member of the ArcelorMittal Group, has upgraded BetaPlanner solution for the optimization of the detailed scheduling of its Hot Strip Mill. BetaPlanner, AIS' leading solution for the short term detailed scheduling optimisation of all rolling mills, was i ...
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Optimal Plate Mill Scheduling and Plate Nesting with SteelPlanner® at ArcelorMittal Asturias - 16 Jun 2008
As part of a major expansion project on the heavy plate mill of Avilés, ArcelorMittal Asturias selected the AIS solution to improve scheduling and plate nesting. BetaPlanner, the well proven AIS module for rolling mill scheduling optimization, will be implemented to increase t ...
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ArcelorMittal Bremen Chooses the way to excellence with AIS SteelPlanner Advanced Planning and Scheduling Suite - 30 May 2008
AIS - Advanced Information Systems and ArcelorMittal Bremen started a new and strong collaboration with the aim to implement the complete SteelPlanner APS suite on the ArcelorMittal Bremen site. After a comparative roadmap study, AIS has been selected to optimize the supply chain ...
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After the first year of operation, ArcelorMittal Fos-sur-Mer leverages the benefits of BetaPlanner on its HSM - 25 Feb 2008
Since October 2006, the HSM of ArcelorMittal Fos-sur-Mer is scheduled daily with the powerful and flexible AIS BetaPlanner mill scheduling solution. The BetaPlanner has been configured to model all logistical and technological constraints of the mill and helps the schedulers wi ...
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With this system we have the best overview and control of what actually happens in production. We can intervene in time when scheduling or charging problems occur. With the big amount of collected data and analysis tools, we have means to identify weak points in our production processes. Since the introduction of the new system the productivity was significantly increased.
