First to market, PTC’s Advanced Inventory Optimization is the most effective inventory optimization software available today, and it keeps getting better. Acting on lessons learned from the largest global install base of service parts management customers, PTC continuously enhances our software’s ability to meet customers’ requirements. Advanced Inventory Optimization goes beyond the spare parts inventory planning methods supported by other solutions by taking into account:
Our best-in-class Inventory Optimization capabilities reduce inventory investment by 30% or more and ensure the highest service return from every dollar invested in inventory by:
PTC clients experience inventory cost reductions of 10-35% and improve part availability by 10-25%- better than the industry average. Customers like Metso and Pratt & Whitney have seen substantial improvements in planning using PTC’s industry-leading inventory optimization.
PTC’s Multi-Echelon Inventory Optimization (MEO) provides a network fill rate approach to reach a trade-off between parts and locations by understanding the parts costs, demand and combined, most effective lead times to determine where to invest the next piece of inventory in the network. This marginal analysis approach enables you to achieve target network fill rates while ensuring the correct mix of parts. This technique has proven to be effective in reducing inventories by up to 30% while simultaneously increasing service levels. MEO ensures the most efficient service performance possible at the lowest cost by:
PTC’s Multi-Indenture, Multi-Echelon (MIME) capability takes the MEO trade-off approach for parts and locations and adds a further level of granularity to ensure asset availability rates. This is important because maintaining good fill rates across your parts population does not ensure good availability of your assets or systems. For customers who need to ensure that an availability-based contract is met and that the asset under contract consistently meets the contracted uptime rates, MIME provides the optimal stocking policy (by location, by contract, by customer) to support all the specific systems under service to ensure a set level of uptime or availability by: