Daniel Rippel

Research Scientist in the IPS department Data Analytics and Process Optimization

Curriculum vitae

Mr. Rippel studied computer sciences at the University of Bremen. He focused on the areas of artificial intelligence, cognitive systems as well as soft computing. During his diploma thesis at the Collaborative Research Center: Cognitive Systems (TR/8) he dealt with an analysis of measures of uncertainty for the Dempster-Shafer evidence theory.

Mr. Rippel is a research scientist at the BIBA - Bremer Institut für Produktion und Logistik GmbH since January 2009.

Research interest

  • Modelling and simulation of (autonomous) logistic processes
  • Model-based process configuration
  • Methods to learn process models
  • Model transformation
  • Mathematical Optimization
  • Interoperability in non-hierarchical supply networks


During his time at BIBA, Mr. Rippel participated in several research projects which focused on the development of methods for the design and configuration of processes in different areas.

The Subproject B2 „Adaptive Business Processes“, which was part of the Collaborative Research Center 637, funded by the German Research Foundation (DFG), developed a method for the modeling and simulation of autonomous logistic processes. The Project CONVERGE, funded by the 7. Program of the European Commission, developed methods to support the interoperability of non-hierarchical supply networks, focusing on the product design process. The subproject C4 "Simultaneous Engineering", which is part of the Collaborative Research Center 747 “Micro Cold Forming”, funded by the German Research Foundation (DFG) aimed to develop methods for the design and configuration of manufacturing process chains in micro-manufacturing. Thereby Mr. Rippel combined classical approaches for process modeling with machine learning techniques to provide a consistent method for both tasks.

Currently, Mr. Rippel is working in the project "OffshorePlan", funded by the German Research Foundation (DFG). In this project, he evaluates and develops approaches to combine mathematical optimization with classic discrete-event simulations. The project aims to combine the benefits of both approaches and to make them available for the planning of offshore installation activities.

In addition, Mr. Rippel is involved in several lectures, where he is responsible for several modeling-themed sessions.


XCeedFeed Platform for optimized, automated, and intelligent processes to order and distribute compound-feed and for the re-supply of silos
OffshorePlan Complementary application of mathematical and discrete-event models to solve complex planning and control problems in offshore construction logistics
SFB747 - C4 A Simultaneous Engineering methodology for micro cold forming processes
SFB637-B2 Adaptive Business Processes - Modelling and Methodology
CONVERGE Collaborative Communication Driven Decision Management in Non Hierarchical Supply Chains of the Electronic Industry


Daniel Rippel
BIBA - Bremer Institut für Produktion und Logistik GmbH
Hochschulring 20
28359 Bremen
Telephone +49(0)421/218-50137

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February 28, 2023, 5:30 p.m., DHI Bremen

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