
Manufacturing
In the manufacturing industry, every operational decision has a direct impact on profitability. Balancing production capacity, inventory management, on-time delivery, and competitive pressure is becoming increasingly complex. How do Atoptima’s optimization solvers enable manufacturing leaders to optimize their production planning?
-20%
Production costs
Maximize
Throughput
÷5
planning time
Challenges and Issues
- Decision-making inertia: high fixed costs when launching a product line and losses caused by any production interruption
- Inventory under pressure: volatility of supply and demand, high storage costs, limited inventory levels
- Margin pressure: heavy operating expenses and intense international competition requiring fine-tuned process optimization
- Multiple constraints: human and machine resources with varying skills and availabilities, tasks with dependencies and strict deadlines
- Extended collaboration: integration of Vendor Managed Inventory (VMI) and synchronization of supplier flows in planning
Use Cases Covered
- Optimized planning and sequencing of production orders
- Reduction of setup/changeover times while maximizing machine utilization
- Proactive inventory management and synchronization with actual demand (make-to-order)
- Smart allocation of resources based on expertise, availability, and capacity
- Optimization of multi-resource schedules (machines, operators, maintenance)
- Product mix planning and dynamic lot-sizing under strict inventory constraints
- Coordination with suppliers via Vendor Managed Inventory to minimize out-of-stocks and overstocks
- Simulation of complex scenarios: new product launch, demand variation, volume adjustments
Benefits
- Maximized production capacity: better equipment utilization, reduced downtime and changeovers
- Enhanced productivity: smoother scheduling, improved allocation of human and machine resources
- Optimized inventories: reduced tied-up capital, lower risks of obsolescence and out-of-stocks
- Increased responsiveness: rapid adaptation to demand fluctuations and supply disruptions
- Robust planning: consolidated visibility across the entire production chain and reduced planning time
- Improved customer satisfaction: on-time delivery, reliable shipments, and greater flexibility