Leading companies across numerous industries use Gurobi’s mathematical optimization solver – in a wide variety of applications – to optimize their supply chain planning, decision making, and operations and keep supply and demand in balance.
With mathematical optimization, you can:
- Attain visibility and control over your end-to-end supply chain network.
- React and respond rapidly and effectively to changing conditions and disruptions across your supply chain.
- Make dynamic, data-driven decisions that optimize your company’s efficiency and profitability.
- Achieve your business goals by balancing cost and service-level tradeoffs – simultaneously satisfying customer demand and spurring bottom-line growth.
- Transform your supply chain from a source of costs into a source of competitive advantage.
Opportunities for Optimization
Mathematical optimization is used by companies today to optimize many different strategic, tactical, and operational planning and decision-making processes across their end-to-end supply chain operations including:
- Strategic: Supply Chain Network Design, Transportation Mode Selection, Supplier Selection, Labor Strategy Optimization, Yield and Revenue Management, Capacity Planning
- Tactical: Inventory Optimization, Maintenance Planning/Predictive Maintenance, Production Planning, Supply Planning, Demand Sensing/Forecasting/Planning, Project-Based Planning, Order Fulfillment Planning, Spare Parts Inventory Planning, Sales & Operations Planning, Workforce/Shift Planning, Replenishment Planning
- Operational: Vehicle Routing, Workforce Scheduling/Rostering, Resource Allocation/Utilization, Project and Machine Scheduling, Logistics/Shipment Planning and Routing, Real-Time Dispatching
Companies utilizing mathematical optimization technologies to manage their supply chains are able to realize numerous business benefits including:
- Better resource utilization
- Reduced costs
- Improved profitability
- Optimized operational efficiency
- Better OTIF delivery performance
- Higher customer satisfaction and revenue growth
- Shorter planning cycle times
- Risk reduction
- Improved inventory turnover and fewer stock-outs
- Greater supply chain agility
- Better cross-functional and end-to-end supply chain alignment
Read the Supply Chain Industry Solution Sheet