Warehouse Logistics
Analyze, Simulate and Sustainably Optimize Warehouse Processes
Efficient warehouse logistics are the foundation for fast material flows, short throughput times and cost-effective operations.
Math.Tec develops mathematical models that create realistic digital representations of your warehouse structures and logistics processes.
Your Benefits
Reduced Travel Distances
Shorter picking and transport routes
Warehouse Optimization
Optimized warehouse layouts and storage location strategies
Utilization
Higher space and storage capacity utilization
Time Savings
Faster material availability and supply
Reduced Search Times
Shorter search and waiting times
Productivity
Higher productivity and greater process reliability
Cost Reduction
Reduced warehousing and operating costs
Simulations
Sound decision-making based on realistic simulations
Using advanced optimization methods and high-performance algorithms, different warehouse and material flow scenarios can be simulated, analyzed and evaluated. Warehouse layouts, storage location strategies, picking processes, material flows, transport equipment, as well as personnel and resource deployment are considered from an integrated perspective. This makes it possible to identify optimization potential before implementation and to make well-founded decisions based on reliable data.
Why Optimize Warehouse Logistics?
Creating a digital representation of your warehouse logistics provides transparency across complex processes and enables the reliable evaluation of different optimization measures. New warehouse concepts or process changes can be simulated without interfering with ongoing operations, allowing their impact to be assessed before implementation.
Typical Applications
Our solutions are designed for companies seeking to efficiently manage and continuously improve their warehouse processes, including:
Production and Plant Logistics
Distribution and Shipping Centers
E-Commerce and Fulfillment
Automotive Industry and Suppliers
Mechanical and Plant Engineering
Retail and Wholesale
Food and Beverage Industry
Pharmaceutical and Medical Technology
Spare Parts and Service Centers
Key Performance Indicators
By combining data analysis, mathematical modeling, simulation and optimization, Math.Tec develops cost-effective solutions for the warehouse logistics of the future. Digital twins enable transparent process analysis, early identification of optimization potential and reliable, data-driven investment decisions.
Storage Capacity
- Warehouse utilization
- Space utilization
- Storage location utilization
- Volume utilization
- Occupancy rate
Order Picking
- Picking time
- Picking performance
- Pick rate (order lines/hour)
- Picking error rate
- Order throughput time
Travel and Transportation
- Employee walking distances
- Travel distances of material handling equipment
- Transport times
- Number of transport movements
- Empty travel / deadhead trips
Inventory
- Inventory level
- Inventory turnover
- Days of inventory / inventory coverage
- Safety stock
- Stockouts
Processes
- Waiting times
- Throughput time
- Processing time per order
- Put-away time
- Retrieval time
Resources
- Personnel utilization
- Forklift utilization
- Conveyor system utilization
- Automated storage system utilization
Quality
- Delivery quality
- Picking accuracy
- Inventory discrepancies
- Error rate
- Complaint rate
Cost Efficiency
- Warehousing costs
- Process costs
- Cost per order
- Cost per picked order line
- Personnel and operating costs
Sustainability
- Energy consumption
- CO₂ emissions
- Space efficiency
- Resource efficiency
Optimize Your Warehouse Logistics
Unlock the full potential of your warehouse through data-driven optimization.