MATH.TOUR
Intelligently automating route and resource planning
MATH.TOUR
Optimization of Delivery and Collection Routes
MATH.TOUR optimizes your route and resource planning—from shipment deliveries and field service operations to optimal vehicle utilization.
Our advanced optimization algorithms reduce costs, save time, and improve planning reliability and operational efficiency.
MATH.TOUR
Optimierung von Ausliefer-und Abholtouren
MATH.PACK
Optimale Auslastung von Ladungsträgern
MATH.PICK
Effizientes Lagermanagement und Kommissionierprozesse
Kosten-Reduktion bei Tourenplanung
MATH.TOUR optimiert Ihre Touren- und Ressourcenplanung, von der Auslieferung von Sendungen über Techniker-Einsätze bis hin zur optimalen Fahrzeugauslastung. Unsere Algorithmen reduzieren Kosten, sparen Zeit und erhöhen die Planungssicherheit.
Reduced Transportation Costs
Shorter travel distances, fewer empty runs, and improved vehicle utilization sustainably reduce operating costs.
Improved On-Time Performance
Time windows, priorities, and scheduling constraints are reliably taken into account, improving adherence to delivery and service schedules.
Reduced CO₂ Emissions
Fewer kilometers traveled and improved vehicle utilization contribute to more sustainable and resource-efficient logistics operations.
Rapid Response to Changes
New orders, vehicle or resource outages, and last-minute schedule changes can be efficiently integrated into existing routes.
Manual Planning Quickly Reaches Its Limits
Increasing order volumes, skilled labor shortages, time-window constraints, regulatory requirements, and last-minute changes make cost-efficient planning increasingly complex.
MATH.TOUR automates the planning process and identifies the optimal solution within seconds.
Route Planning for Transport and Logistics
Intelligent route optimization considering all relevant operational requirements and constraints.
Vehicle Capacities
Weight, volume, and loading meters are automatically taken into account.
Time Windows
Delivery and collection time windows are reliably incorporated into the planning process.
Flexible Locations
Support for fixed or variable start and destination points.
Special-Purpose Vehicles
Refrigerated and other specialized vehicles are assigned according to operational requirements.
Priorities
High-priority orders are given precedence in the planning process.
Distance Models
Custom travel-time and distance data can be integrated into the optimization.
Operative Ziele
- Weniger Kilometer
- Weniger Leerfahrten
- Kürzere Fahrzeiten
- Höhere Termintreue
- Höhere Auslastung
Wirtschaftliche Ziele
- Niedrigere Kosten
- Weniger Dispositionsaufwand
- Bessere Ressourcennutzung
- Skalierbare Prozesse
- Höhere Kundenzufriedenheit
Economic Objectives
- Lower operating costs
- Reduced dispatching and planning effort
- Improved resource utilization
- Scalable planning processes
- Increased customer satisfaction
Operational Objectives
- Fewer kilometers traveled
- Fewer empty runs
- Shorter travel times
- Improved on-time performance
- Higher vehicle utilization
Field Service and Workforce Scheduling
Optimal assignment of employees, service technicians, and resources.
Skills and Qualifications
Each job is assigned to the most suitably qualified employee or technician.
Availability
Employee availability and service hours are incorporated into the planning process.
Resource Utilization
Resources are allocated efficiently and workloads are balanced appropriately.
Vehicle Types
Vehicles and specialized vehicles are combined and optimized.
Working-Time Regulations
Statutory and company-specific working-time rules are taken into account.
Dynamic Rescheduling
Last-minute changes can be flexibly integrated into existing schedules.
Von der Anfrage zur optimalen Planung
1
Daten übernehmen
Aufträge, Fahrzeuge, Mitarbeiter und Restriktionen importieren.
2
Optimierung starten
MATH.TOUR berechnet automatisch die beste Lösung.
3
Daten übernehmen
Aufträge, Fahrzeuge, Mitarbeiter und Restriktionen importieren.
4
Änderungen integrieren
Neue Aufträge können jederzeit neu optimiert werden.
Application Areas
Logistics
Parcel Delivery Services
Wholesale
Fresh Food Logistics
Waste Management
Field Service
Energy & Utilities
Healthcare & Home Care
Skilled Trades
Municipal Services
Optimize Your Route and Workforce Planning
Reduce costs, increase resource utilization, and respond flexibly to changing operational requirements.
Frequently Asked Questions
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How can vehicle utilization be improved?
MATH.TOUR optimizes the utilization of each vehicle based on weight, volume, and loading meters. This reduces empty runs and ensures that available transport capacity is utilized as efficiently as possible.
How can delivery schedules and time windows be reliably met?
MATH.TOUR automatically incorporates all specified pickup and delivery time windows into the optimization process. Loading and unloading times, as well as location-specific service times, are also taken into account.
How are different vehicle types and special requirements handled?
MATH.TOUR automatically assigns shipments to suitable vehicles. Specialized vehicles, such as refrigerated trucks, are allocated only to orders that require their specific capabilities.
How flexible is route planning when adapting to individual operational processes?
MATH.TOUR supports fixed or flexible start and destination locations, customized travel-time and distance models, as well as predefined delivery-sequence constraints. This enables route plans to be precisely aligned with your operational processes.
How are important or time-critical orders prioritized?
Orders can be assigned different priority levels. When resources are limited, high-priority shipments are given precedence, helping ensure that critical deliveries are completed reliably.
