Fraunhofer Institute for Material Flow and Logistics

Supply Chain Management

Our SCM-experts are there for you, to support you with the necessary specialist knowlegde and various analysis and simulation tools. For the best implementation of a new or highly increased logistic system we offer particular trainings.

More than Logistics 4.0? Our consulting is future oriented, individual and pragmatic

Our team of SCM experts supports you in the analysis, planning and design of production and logistics networks. With our scenario-based approach, we involve you in the solution process. This applies both to the redesign (greenfield) and to the optimization of your existing processes and structures (brownfield). In doing so, we not only keep an eye on the requirements of your customers and the costs of your logistics, but also integrate further (e.g. energy-related) target criteria into our consulting projects if required.

Our services

Network Simulation and Material Flow Simulation

We offer our customers the implementation of simulation studies as well as the development of assistance systems.

Dynamic Inventory Disposition and Robust Service Level Management

With the aid of a simulation tool, the effects of different future scenarios on relevant cost and performance variables can be evaluated. The tool can be used during the tactical operative planning.

Optimization of Demand Forecasts

To optimize the demand forecast we offer, amongst others, a classification of your article range and the performance of ex-post-analyzes to evaluate the suitability of different forecasting methods.

Economic and Risk Assessment

In addition to the investigation of network design, we offer dynamic analysis of risk factors in the context of the effects on the robustness and profitability of networks.

SCM Trainings

The department Supply Chain Engineering gives you support in identifying training needs as well as the conception, development and implementation of SCM trainings.

Tariff Trade Barriers

In addition to the investigation of global network design, we offer dynamic analysis of network stability in case of changes due to tariff trade barriers.

Network Design

We gladly support you from the analysis of current network structures through the identification of action fields to the conception of alternative design scenarios.

Machine Learning in Supply Chain Management

The possible uses of AI- based systems and ML-procedures within supply chain management are multifaced. We provide consulting and support your first steps into Machine Learning.

Contact

Contact Press / Media

Nikolas Moroff, M.Sc.

Team Leader Supply Chain Management

Fraunhofer Institute for Material Flow and Logistics IML
Joseph-von-Fraunhofer-Str. 2-4
44227 Dortmund

Phone +49 231 9743-290

Send email
nikolas.moroff@iml.fraunhofer.de