Resources
Case studies,
research projects
and publications

Resources
Case studies,
research projects
and publications

Here you will find more detailed information about the working methods of divis. The corresponding brochures are sorted according to the areas of case studies, software, research projects and scientific publications.

Our company profile is available here for free download. Here you can get a short overview of who we are and what services we offer.

Company profile [PDF]

Here you will find more detailed information about the working methods of divis. The corresponding brochures are sorted according to the areas of case studies, software, research projects and scientific publications.

Our company profile is available here for free download. Here you can get a short overview of who we are and what services we offer.

Company profile [PDF]

Flyer

Flyer

Case studies

Interactive feasibility evaluation with the help of data driven modeling by the example of forming simulation – BMW Group
Predictive Analytics and Simulation for Continuous Improvement and Quality Management – 3M Deutschland GmbH
Machine learning for process optimization – IOI OLEO GmbH
Optimization of cosmetics formulations – Beiersdorf AG
Optimization of product development – Johnson & Johnson GmbH

Software

ClearVu Analytics – Efficient Data Analysis, Modeling, Forecasting and Optimization
ClearVu Python Package – Automatic Machine Learning in Python
ClearVu Solution Spaces – Solution spaces for multidisciplinary design in product development
ClearVu Excel Add-In – Automatic Machine Learning in Microsoft Excel

Forschungsprojekte

EnXylaScope

development of new enzymes for debranching xylan, an ingredient of many consumer goods and food

Due to the good chemical and physical characteristics, debranched xylan is meant to replace less sustainable ingredients, which helps to produce greener products.

EnXylaScope Website

SuperOpt

Structural optimization of chemical processes to maximize energy efficiency

The aim of this BMBF funded research project is to develop a software tool to optimize the structure of chemical plants. The focus lies on the optimization of the efficient use of resources. As specialists for global optimization, our task is to develop an innovative software tool for the structural optimization of chemical plants to add to our ClearVu product line. This combines parametrical and structural optimization. Additionally, the tool contains an interface to Aspen Plus.

During the project we cooperate with ZEDO and SUPREN.

CoPro

Coordinated Production for Better Resource Efficiency

This research project, funded by the EU in the workframe of SPIRE, is a cooperation between large companies, universities and SME. The aim of this project is to enhance the energy and resource consumption of manufacturing industries. Together with our project partners we will develop and test methods and tools for plant control, process monitoring and optimal dynamic planning under dynamic market conditions to achieve the set objectives. divis contributes methods for the data driven modeling of processes and for anomaly detection.

The application areas within the project include chemical production, production of cellulose fiber and consumption goods, and the sterilization and packaging of food.

eEgO

Software development for efficient optimization based on response surface models for crash simulation within vehicle development processes

The aim of this BMBF funded project was to react to the increasing need of crash simulations by developing an innovative and efficiently working software tool for the enhancement of virtual structure optimization of car bodies. Our software tool ClearVu Analytics could successfully be implemented into such a workflow.

The project was coordinated by Automotive Simulation Centers Stuttgart e.V., and the partners GNS mbH, SCALE GmbH, Bergische Universität Wuppertal and Technische Universität München.

Info sheet PDF (german)

Forschungsprojekte

EnXylaScope

SuperOpt

development of new enzymes for debranching xylan, an ingredient of many consumer goods and food

Due to the good chemical and physical characteristics, debranched xylan is meant to replace less sustainable ingredients, which helps to produce greener products.

EnXylaScope Website

Structural optimization of chemical processes to maximize energy efficiency

The aim of this BMBF funded research project is to develop a software tool to optimize the structure of chemical plants. The focus lies on the optimization of the efficient use of resources. As specialists for global optimization, our task is to develop an innovative software tool for the structural optimization of chemical plants to add to our ClearVu product line. This combines parametrical and structural optimization. Additionally, the tool contains an interface to Aspen Plus.

During the project we cooperate with ZEDO and SUPREN.

CoPro

eEgO

Coordinated Production for Better Resource Efficiency

This research project, funded by the EU in the workframe of SPIRE, is a cooperation between large companies, universities and SME. The aim of this project is to enhance the energy and resource consumption of manufacturing industries. Together with our project partners we will develop and test methods and tools for plant control, process monitoring and optimal dynamic planning under dynamic market conditions to achieve the set objectives. divis contributes methods for the data driven modeling of processes and for anomaly detection.

The application areas within the project include chemical production, production of cellulose fiber and consumption goods, and the sterilization and packaging of food.

Software development for efficient optimization based on response surface models for crash simulation within vehicle development processes

The aim of this BMBF funded project was to react to the increasing need of crash simulations by developing an innovative and efficiently working software tool for the enhancement of virtual structure optimization of car bodies. Our software tool ClearVu Analytics could successfully be implemented into such a workflow.

The project was coordinated by Automotive Simulation Centers Stuttgart e.V., and the partners GNS mbH, SCALE GmbH, Bergische Universität Wuppertal and Technische Universität München.

Info sheet PDF (german)

scientific publications

Prof. Dr. Thomas Bäck is head of the Natural Computing research group at the Leiden Institute of Advanced Computer Science (LIACS) at Leiden University. He is also Managing Director and Vice President Technology of divis intelligent solutions GmbH in Dortmund, Germany, and co-editor of a number of journals. He is also regularly involved in conferences on the topic of evolutionary algorithms.

Google Scholar

Selection of scientific publications

Selection of scientific
publications

Quantum Annealing for Industry Applications: Introduction and Review (with Volkswagen AG)
Automated Machine Learning for Remaining Useful Life Estimation of Aircraft Engines (with KLM)
Global Sensitivity Matrix for Vehicle Development (with Porsche AG)
A Classification-Based Solution for Recommending Process Parameters of Production Processes without Quality Measures (with BMW Group)
Requirements Towards Optimizing Analytics in Industrial Processes (with BMW Group)
Towards Data-driven Services in Vehicles (with BMW Group)
A Review: Prognostics and Health Management in Automotive and Aerospace (with KLM, Honda Research Institute Europe)
Artificial Intelligence and Data Science in the Automotive Industry (with Volkswagen)
Corrosion Test Improvement by Climate Modeling (with Mercedes-Benz)
Automatic Metamodeling of CAE Simulation Models
Towards Data Driven Process Control in Manufacturing Body Parts (with BMW Group)

Contact

How to contact us

Telephone

+49 231 97 00 340

E-Mail

Address

Joseph-von-Fraunhofer-Straße 20,
44227 Dortmund, Germany

Contact

How to contact us

Telephone

+49 231 97 00 340

E-Mail

Address

Joseph-von-Fraunhofer-Straße 20,
44227 Dortmund, Germany