rip

Daniel Rippel

Senior Research Associate 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, 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 interest

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

Activities

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.

Projects

OffshorePlan II Complementary application of mathematical and discrete-event models to solve complex planning and control problems in offshore construction logistics
Adapt2Mount Development of a health-promoting assembly workplace with adaptive material provision and individual ergonomic optimization
MaxMaintain Development of AR-based teleservices and intelligent job scheduling using diagnostic condition monitoring for the efficient maintenance of decentralized wastewater treatment plants
XCeedFeed Platform for optimized, automated, and intelligent processes to order and distribute compound-feed and for the re-supply of silos
Manufaktur 4.0 Quality-oriented production control and optimization in food production
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

Contact

Daniel Rippel
BIBA - Bremer Institut für Produktion und Logistik GmbH
Hochschulring 20
28359 Bremen

Telephone +49 421 218-50 137
e-Mail
ORCID 0000-0003-1217-8159

Events:
Girls‘Day im BIBA
April 25, 2024, BIBA, Bremen
Hackathon "Human-Robot Interaction"
April 25 and 26, 2024, BIBA, Bremen
AI for Lean IoT
April 30, 2024, BIBA, Bremen
AI for Lean IoT
June 7, 2024, online
Bremen AI Days
June 12-13, 2024, DHI, Bremen

More events