Waste management in the digital age
In the logistics of waste management, differentiated planning plays a crucial role, especially when distinguishing between commercial and municipal waste disposal. Optimizing the route composition is central to meeting the specific requirements of the waste disposal industry. This includes both fixed delivery patterns for regular collections and dynamic, demand-based solutions for commercial customers. Strategic community planning is also essential for establishing disposal calendars to ensure seamless and efficient waste disposal. State-of-the-art algorithms are increasingly taking over the planning and coordination of these processes in order to achieve maximum efficiency and sustainability.
Innovative concepts against established problems
AI-controlled logistics planning for municipal and commercial waste disposal
Timeslots including factory and supplier calendars
By implementing precise time windows for waste collection, our algorithms not only optimize planning and coordination, but also effectively reduce waiting times and improve route guidance. The resulting maximum utilization of the collection vehicles leads to significant cost savings and a reduction in CO2 emissions.
Detailed planning of paper collection
The detailed planning for waste disposal is based on specific customer orders (garbage containers) and enables detailed, dynamic route planning that can be updated daily and transferred to truck navigation systems. This planning is suitable for static and dynamic waste calendars and eliminates the need for prior division into sub-regions as it is based directly on customer orders. Additional functions include selecting the vehicle type per container, precise travel time calculations and the integration of sensor data. The result is a comprehensive route planning software that supports both annual and daily dynamic planning, independent of experience and based entirely on AI.
Optimization of the tour composition
The software optimizes vehicle utilization and minimizes travel distances through intelligent planning and compilation of collection routes. In addition, the algorithms react to spontaneous changes, such as cases of illness, by means of flexible adjustment. This significantly improves the reliability and punctuality of waste collection.
Planning fixed delivery patterns for commercial customers
Our algorithms analyze and optimize delivery frequencies and routes based on customer demands. This allows for precise planning that not only makes routes more efficient, but also improves pick-up punctuality and reliability.
Dynamic demand-based collection
Our algorithms adapt collection routes to actual waste volume, eliminating unnecessary trips and increasing efficiency. Such adaptability leads to a significant reduction in operating costs and CO2 emissions by ensuring that vehicles are only used when truly necessary. This not only improves the environmental footprint, but also increases customer satisfaction through more flexible and reliable collection services.
Strategic planning of the disposal calendar
The rough planning of waste disposal is based on the division into sub-regions, which are defined individually or as smaller areas within larger towns. For each sub-region, specific data such as pickup times, vehicle requirements and travel times between regions, determined through telematics or experience, are essential. The planning takes into account collection frequencies, vehicle types, working hours, public holidays and, optionally, uniform waste calendars for communities. The result is annual route planning that provides detailed waste calendars for each community in automatically generated Excel files.
Your advantages
Less transports
Lower costs & CO2 emissions
Relief for employees
Perfect operational use of the transport network
Increased visibility in the supply chain
TCO costs as a sweet spot in the supply chain
Information about necessary transport capacities from MRP
Cost optimization of strategic transport tariffs
Supplier portal for networking suppliers and freight forwarders
Avoiding backorders
Standardized planning process including PDF pickup sheets
Optimize logistics and save CO2
Our programming maximizes the use of existing but unused transport capacity in truck traffic to optimize goods distribution. This reduces the need for additional transport and thereby leads to a reduction in CO2 emissions. By using an integrated planning method that takes lean management principles into account, we reduce the use of resources in the areas of storage and production. This approach not only promotes higher operational performance, but also significantly supports environmental protection and contributes to the reduction of CO2 emissions.