Supply Chain Optimisation
Supply Chain Optimisation (SCO) is a process by which the coordination and integration of materials, information and finances in and among companies as materials move in a process from supplier to manufacturer to wholesaler to retailer to consumer is done at least cost under uncertain conditions. GAINS™ (General Adaptive INventory System) is an enterprise-scale solution that encompasses four primary functions:
Together, these solutions optimise the complex relationships between customer service levels, inventory investment, operating costs, demand plan error, and supply variability.
The level of integration of these four modules provides GAINS with the capability to make sophisticated decisions on behalf of the user in regard to stocking policies. This includes recommending what products should be stocked, where and how much to minimise storage and transport costs whilst delivering to the customer requirements. Incorporating supplier performance takes this to the next level, allowing GAINS users to trade-off different vendor options and negotiate based on actual performance implications.
Solving these challenges across multi-echelon and DRP environments, GAINS provides:
- Demand Planning and Forecasting (including fleet-level maintenance where applicable)
- Inventory Optimisation
- Sales Inventory and Operations Planning (SI&OP)
- Replenishment Optimisation
Together, these solutions optimise the complex relationships between customer service levels, inventory investment, operating costs, demand plan error, and supply variability.
The level of integration of these four modules provides GAINS with the capability to make sophisticated decisions on behalf of the user in regard to stocking policies. This includes recommending what products should be stocked, where and how much to minimise storage and transport costs whilst delivering to the customer requirements. Incorporating supplier performance takes this to the next level, allowing GAINS users to trade-off different vendor options and negotiate based on actual performance implications.
Solving these challenges across multi-echelon and DRP environments, GAINS provides:
- Stocking Optimisation that considers alternate sources within the network and potential expedite costs, whilst automatically determine service levels uniquely for each item to achieve an aggregate target
- Sourcing Optimisation algorithms that determine the supplier(s) that provide the lowest-total-cost supply, including solving for the trade-off of unit cost, purchase minimums, supply variability/performance and lead time
- Network Flow Optimisation algorithms that determine which supply route provides the lowest-total-cost supply, considering lead times, minimums (line-item and PO-level), handling, and transportation costs