Manufacturers need to stay ahead of the curve. With innovative methods, new technologies, and increased competition, manufacturing companies need to produce quality products at a competitive price for their customers. Powerful, built-in advanced analytics, stochastic models, and proprietary algorithms provide manufacturing organizations with a new level of decision support to dynamically optimize the various complexities inherent in supply chain interdependencies and enable the achievement of targeted service levels, maximized margins, and minimized costs.
GAINS® functions include multi-echelon inventory optimization (MEIO), dynamic production plan optimization, make-to-stock/make-to-order optimization, and automated and optimized replenishment planning. The accuracy and dynamic monitoring in GAINS can dramatically improve productivity, which will lead to increased customer service levels, reduced inventory investment & increased revenues.
Benefits with GAINS
MINIMIZE FACTORY SETUPS
BOOST SERVICE LEVELS ABOVE
Continuously analyze demand and supply in near-real-time to revise inventory policies and/or replenishment plans that ensure customer service levels
Multi-echelon planning optimization driven by total (independent and dependent) demand, demand sensing & signaling, outlier detection, and more for accurate, actionable forecasts
Determine profit-optimal trade-offs between various inventory policy scenarios
Production policies, schedules, and set-ups are profit-optimally synchronized to customer orders
Industrial Manufacturing Success Stories
Discrete Manufacturing Success Stories
- As the first GAINS OASIS client, Reynolds Consumer Products reached a statistically-driven Safety Stock target in 12 weeks
- Reduced inventory levels at an aggregate
- Increased efficiency and speed of inventory review cycle
Additional Manufacturing Success with GAINS
Stuller’s VP Operations stated that “GAINS has not only enabled us, for the first time in history, to consistently achieve our targeted service levels, but we have done so with 27% less inventory than our ERP system recommended.” Read the Success Story