Cooperations
We develop a strategy for the future alignment of production and logistics together with you, and foster long-lasting cooperation on an equal footing. Find out for yourself about our many years of expertise and commitment, not only through our references, but also with regard to our awards, memberships, and partners.
Memberships & Partners
As a future-oriented logistics company, we attach great importance to the close integration of practice and science in order to continuously develop innovative solutions and advance our field. In this context, we are actively involved in various committees and scientific institutions.
Current research and development projects
Sustainable factory planning with the BeFaNa project
As part of the BeFaNa project (consulting tool for sustainable factory planning), LOGSOL is working with TU Dresden to develop solutions to support businesses. A self-assessment tool helps to evaluate the current situation and identify key sustainability priorities. In addition, a consulting tool provides support with process analysis, efficiency assessment and implementation planning.
The aim is to integrate economic, social and environmental aspects for resource-efficient factory planning.
GEOBest: Smart geodata for efficient container management
In the GEOBest project (Smart geodata-based inventory tracking in container management for low-value load carriers), LOGSOL and Dresden University of Technology are developing a solution for the automated tracking of load carriers. Using a sensor network (‘lighthouses’ and ‘buoys’) and machine learning, stock levels are predicted with precision without the need to fit every single container with a sensor.
Voice4BinMan®: Voice-controlled innovation in container management
In the Voice4BinMan project, LOGSOL and Dresden University of Technology are developing a voice-based assistant for container management. This extension for BinMan® automates data capture during goods receipt and dispatch, damage documentation and quality checks. Through the context-based processing of voice inputs, the system automates workflows and improves transparency, process reliability and data quality.
DataSimPro: Data-driven simulation in production and logistics
In the DataSimPro project, LOGSOL is developing approaches for data-driven simulation models in production and logistics using process mining. The aim is to reduce the effort involved in data collection and preparation, and to map processes more efficiently. This will significantly improve the quality and availability of data in factory and production planning.
Completed research and development projects
- Development and practical implementation of an algorithm for the calculation and design of tugger trains
- IPGERo – Innovative analytical planning methods for the design, deployment planning and evaluation of tugger train systems
- FAST – Fleet Analysing System
- User support through machine learning methods for container cycle analysis and optimization
- Digitalization of reporting & control processes using elasticsearch
- KoWaK – Collaborative adaptability in manufacturing SMEs