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  1. Home
  2. Applications
  3. Manufacturing
  4. Manufacturing Operations Management

Manufacturing Operations Management The Manufacturing Operations Management group operates a test setup on the subject of industry 4.0 and digitization of production, which is in great demand both internally and externally.

The combination of physical machines and a suitable simulation environment enables the demonstration and evaluation of various applications and new technologies. This includes in particular the evaluation and demonstration of distributed production control systems and optimizations, which are researched in the group.

The goals of the group are the development of decentralized MES (Manufacturing Execution Systems) and the maintenance of the TIPI Lab to test them in realistic scenarios. A close cooperation with the group DCC enables the use of new highly efficient and high-performance embedded systems, which also enable sophisticated algorithms.

The so-called testbed-as-a-service approach of the TIPI Lab promotes cooperation with partners in research projects as well as in academic and vocational training.

The scientific questions of the MOM group are manifold and include, for example, the evaluation of robustness and flexibility of production processes, the efficiency of distributed control systems and the optimization of production through the use of intelligent self-organizing machines. A particular focus is on questions of information retrieval from manufacturing and suitable development processes for technical MOM platforms. Ultimately, this results in comprehensive IT support for new service-based ecosystems (platform economy, servitization) in manufacturing.

Groups

  • Smart Human Robot Collaboration
  • Manufacturing Operations Management
  • Distributed Computing and Communication

Group Manager

Dipl. Inform. Patrick Knocke
Dipl. Inform.
Patrick Knocke

Persons

E

Patrick Eschemann

E-Mail: patrick.eschemann(at)offis.de, Phone: +49 441 9722-473, Room: O82

K

Jonas Kallisch

E-Mail: jonas.kallisch(at)offis.de

Patrick Knocke

E-Mail: Patrick.Knocke(at)offis.de, Phone: +49 441 9722-402, Room: O91

Fabian Kott

E-Mail: fabian.kott(at)offis.de, Phone: +49 441 9722-288, Room: O81

Jan Elmar Krauskopf

E-Mail: Jan.Krauskopf(at)offis.de, Phone: +49 441 9722-350, Room: O81

P

Dr. Ing. Alexandra Pehlken

E-Mail: alexandra.pehlken(at)offis.de, Phone: +49 441 9722-712, Room: O90

R

Harald Roesen

E-Mail: Harald.Roesen(at)offis.de, Phone: +49 441 9722-738, Room: O87

Projects

A

AVKVIN

Abfallverbrennungskessel 4.0 - Digitalisierung und ganzheitliche Betriebscharakterisierung von Dampferzeugern in Abfallverbrennungskraftwerken

Duration: 2020 - 2023

C

CF1

CyberFactory#1

Duration: 2019 - 2022

Publications

2021

Einsatz von Künstlicher Intelligenz in der Digitalisierung von Abfallverbrennungskraftwerken

Alexandra Pehlken, Patrick Eschemann, Henriette Garmatter, Fabian Cyris, Astrid Nieße; INFORMATIK 2021 - Computer Science & Sustainability; 09 / 2021

URL BIB
Influence of Material Selection and Product Design on Automotive Vehicle Recyclability

Xiaohui He, Dongmei Su, Wenchao Cai, Alexandra Pehlken, Guofang Zhang, Aimin Wang, Jinsheng Xiao ; Sustainability; 03 / 2021

URL DOI BIB

2020

Impacts of life cycle inventory databases on life cycle assessments: A review by means of a drivetrain case study

Matthias Kalverkamp, Eckard Helmers, Alexandra Pehlken; Journal of Cleaner Production; 10 / 2020

URL DOI BIB
More Sustainable Bioenergy by Making Use of Regional Alternative Biomass?

Alexandra Pehlken, Kalle Wulf, Kevin Greksch, Thomas Klenke, Nina Tsydenova; Sustainability; 09 / 2020

URL DOI BIB
Towards Digital Twins for Optimizing the Factory of the Future

Patrick Eschemann, Philipp Borchers, Linda Feeken, Ingo Stierand, Jan Stefan Zernickel, Martin Neumann; ESM Modelling and Simulation 2020; Oktober / 2020

URL BIB
Urban Mining: Applying Digital Twins for Sustainable Product Cascade Use

Prof. Dr. Sabine Baumann, Dr. Alexandra Pehlken; 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC); 09 / 2020

URL DOI BIB

2019

Adaptive manufacturing execution systems (AMES): Best practices for implementations in small and medium-sized businesses

Jonas Kallisch, Frank Oppenheimer; Prodeedings of the 10th Annual European Decision Sciences Conference (EDSI), Nottingham, UK; 06 / 2019

URL BIB
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