Global supply chain planning company, Barloworld Supply Chain Software (SCS) is launching CAST Aurora, claimed to be the next generation in CAST Supply Chain Modelling software, for companies across various business sectors to identify savings and enhance efficiency within their supply chains.
"CAST Aurora is a decision support software application used for supply chain modelling, strategic network design and optimisation" says Fraser Ironside, of Barloworld SCS, adding that CAST users can typically expect to achieve a 10-15% saving on their supply chain costs.
CAST Aurora will be officially launched at Multimodal 2011, at Birmingham's NEC on Wednesday 6 April, where visitors to the Barloworld SCS stand will have opportunity to trial the software.
The latest addition to Barloworld SCS's suite of supply chain modelling and inventory optimising software products, CAST Aurora can be used by third party logistics, manufacturing, consulting and retail companies to evaluate and identify different supply chain strategies, leading to significant cost savings & service level improvements.
"Technological developments have helped to enhance the software's capabilities. Scenarios that previously may have taken hours to run through the software, can now be carried out in minutes, in a single sitting" says Fraser, explaining that users are now trying more scenarios, more regularly.
A key feature offered by the new CAST Aurora, is the multi time period function, which enables companies to not only identify the ideal location for warehouses, for example, but also the ideal times to open and close warehousing facilities, based on seasonal peaks in demand and seasonal falls in supply. "CAST Aurora can flex capacities in the network and tactically size resources by time period" Fraser says.
Barloworld SCS's suite of software solutions helps companies to enhance their entire supply chain, through the application of warehouse location planning, carbon emissions modelling, service lead-time analysis, stock profiling and classification, inventory forecasting, demand planning and excess stock management.