Daniel Rippel

Daniel Rippel

Research Scientist in department Planning and Control of Production and Logistics Systems (PSPS), Faculty Production Engineering at the University of Bremen.

Curriculum Vitae

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

  • Modelling and simulation of logistic systems
  • Model-based process configuration
  • AI-Methods, e.g., in combination with simulation models
  • Model transformation
  • Mathematical optimization


During his time at BIBA, Mr. Rippel participated in several research projects which focused on developing methods for designing and configuring processes in different areas.

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. Mr. Rippel combined classical approaches for process modeling with machine learning techniques to provide a consistent method for both tasks.

The research project "Manufaktur 4.0" focused on the development of mathematical and simulation-based models for the optimization of production plans taking into account fluctuating quality properties of raw materials in the production of delicatessen salads.

Currently, Mr. Rippel is working on 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 make them available for the planning of offshore installation activities.

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


CONVERGECollaborative Communication Driven Decision Management in Non Hierarchical Supply Chains of the Electronic Industry
Manufaktur 4.0Qualitätsorientierte Produktionssteuerung und -optimierung in der Feinkostbranche
OffshorePlan Komplementäre Nutzung mathematischer und ereignisdiskreter Modelle zur Lösung komplexer Planungs- und Steuerungsprobleme in der Offshore-Baustellenlogistik
SFB637-B2Adaptive Geschäftsprozesse - Modellierung und Methodologie
SFB747 - C4Eine Simultaneous Engineering Methodik für mikrofertigungstechnische Prozessketten
XCeedFeedPlattformlösung für optimierte, automatisierte und intelligente KI-gestützte Prozesse bei Bestellung und Distribution von Futtermitteln und Befüllungen von Silos


Daniel Rippel
Hochschulring 20
D-28359 Bremen
Phone: +49(0)421/218-50137