John Galt Solutions Expands Optimization Capabilities

Planning Platform, which is now embedded within key components of Multi-Echelon Inventory Optimization (MEIO) and Rough-Cut Capacity Planning.  

This innovation bridges the gap from traditional rough-cut capacity planning to full scheduling, meaning fewer requirements for implementation, data and configuration.

“Business leaders today are asked to achieve more with less while meeting financial, environmental, and operational goals,” says Zac Nemitz, director of global product strategy at John Galt Solutions. “Atlas’ Simultaneous Multi-Objective Optimization transforms this challenge when defining inventory strategies across today’s complex, multi-tier networks. Atlas provides an accessible, easy to use capability to deliver working capital benefits faster than traditional systems.” 

Key takeaways:

·        Now, businesses can optimize across multiple, competing priorities such as financial goals, operational realities, and sustainability objectives– all at once – across the end-to-end network, instead of at a single node.  

• Key features entail optimizing stock levels beyond cost considerations, for example, profitability or to minimize carbon footprint, while maintaining service levels; prioritizing high-margin products when capacity is constrained or reduce output of high-waste SKUs to improve environmental impact; setting firm constraints around expiration dates while soft constraints seek to preserve the highest levels of freshness; and shifting procurement toward more reliable or sustainable suppliers while controlling costs.