Fraunhofer Institute for Material Flow and Logistics IML
Fraunhofer Institute for Material Flow and Logistics IML
Es ist ein Laptop, auf dem die Anwendung AI-Boss geöffnet ist, abgebildet.
© Fraunhofer IML

Business Intelligence & Analytics

Data-driven decisions for SMEs and manufacturing companies

more info

© Fraunhofer IML

Business intelligence and analytics

We are a team of business intelligence experts.

Our passion is to help companies realise their full potential through data analysis, data science and AI approaches. Thanks to our experience in industrial engineering, we specialise in identifying and quantifying potential in the production and logistics environment.

 

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AI-BOSS Keynote from 1. october 2024 – Optimisation of inventory management with and without AI

Nils Kalbe (Fraunhofer IML) and Dominc Rose (CEO hp-polytechnik)

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The keynote will show how small and medium-sized enterprises (SMEs) can optimise their inventory management through data-based decisions and AI-supported solutions.

Using practical examples, we will show how variant reduction, intelligent algorithms and flexible dashboards help to increase efficiency and reduce costs.

The keynote also offers valuable insights into smart strategies that can also be implemented without AI, but which realise their full potential with AI.  

Our offer

Are you looking for a team to support you in the introduction and application of artificial intelligence / machine learning methods? Let's discuss different approaches together and talk about possible forms of collaboration (e.g. contract research or funded research projects). We also offer support in the following areas:

  • Procurement optimisation
  • Assortment rationalisation
  • Cluster analyses
  • Data analysis services
  • Dashboard development
  • BI reporting
  • BI implementation

Our approach

Data basis, model development, business intelligence solutions, analytics model development, user-friendly tool kits
© Fraunhofer IML - Maurice Weber

Procedure

Define goals example given as-is assessment & requirements analysis and define data basis. Methodology includes workshops, checking the data quality and data preparation. Data sources are SAP master data, sales figures, production data, system load & consumption values and sales forecasts. Data basis, data sources, sales forecasts, business intelligence methodology, data quality
© Fraunhofer IML - Maurice Weber

Definition of the data basis

Monitoring includes definition of key figures, preprocessing of data and KPI calculation. Optimisation includes development of optimisation model, researching suitable algorithms and technologies and complexity reduction through heuristics and assumptions. Valuation includes definition of relevant criteria for scenario evaluation and calculation models for cost and benefit assessment.
© Fraunhofer IML - Maurice Weber

Model development

The diagram shows a process model for the verification and validation of data and scenarios.
© Fraunhofer IML - Maurice Weber

Model verification and validation

User Interface, Dashboard, Modellimplementierung, Technologieauswahl, Sprint, Sprint-Backlog, Backlog
© Fraunhofer IML - Maurice Weber

Development of user-friendly tool kits

On Premise, Fraunhofer, Cloud
© Fraunhofer IML - Maurice Weber

Provision of the customised company solution

Technologies utilised

In close consultation with you, we always select the optimal technology that is customised to your individual requirements. Whether you are aiming for in-depth data analysis, require interactive dashboards or are looking for customised solutions for your specific needs, we offer you a broad selection. These range from Excel and Power BI to specially developed web applications based on technologies such as Python, Angular and TypeScript.

References

Leistungszentrum Logistik und IT

AI-BOSS

The AI-BOSS (AI Based Optimisation of Sheet Supply) project provides a tool set with which we can develop a customised inventory optimisation solution for your company. The web-based application gives companies easy access to ML-based clustering algorithms.

 

Contact: M.Sc. Nils Kalbe & Dr.-Ing. Markus Witthaut

Phone: +49 231 9743-460

E-mail: nils.kalbe@iml.fraunhofer.de

AI-based stock optimisation

Ferro Umformtechnik

The aim of the collaboration was to reduce the stock levels of steel sheets by consolidating similar sheet variants. For this consolidation, a software tool was developed for the quantitative evaluation of different scenarios, which balances the cutting costs and the resulting reduction in handling costs. Ferro Umformtechnik has been using this tool since the end of 2021 to simulate the effects of inventory optimisation for customers and/or suppliers.

 

Contact persons: M.Sc. Nils Kalbe & Dr Markus Witthaut

E-mail: nils.kalbe@iml.fraunhofer.de

Batch size optimisation

Brewery

Excel tool for item-specific determination of safety stocks and batch lot sizes for optimum utilisation of filling and warehouse capacity.

 

Contact: M.Sc. Tolga Turmaz

Phone: +49 231 9743-282

E-mail: tolga.turmaz@iml.fraunhofer.de

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