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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.

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

Group Manager

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

Persons

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

L

Marcel Leerhoff

E-Mail: marcel.leerhoff(at)offis.de, Phone: +49 441 9722-590

P

Leonora Posega

E-Mail: leonora.posega(at)offis.de, Phone: +49 441 9722-286, Room: O80

Projects

C

CF1

CyberFactory#1

Duration: 2019 - 2022

M

M40HB-II

Mittelstand 4.0-Kompetenzzentrum Bremen - Fortführung

Duration: 2021 - 2022

R

RZZ-Nord

Regionales Zukunftszentrum Nord

Duration: 2021 - 2022

Publications

2022

Development of a Prototype for a Process Support and Analysis Platform for Small and Medium-sized Enterprises

Jonas Kallisch, Christoph Wunck; Proceedings of 35th International Conference on Computer Applications in Industry and Engineering 89; 10 / 2022

URL BIB
Digitale Nachhaltigkeit im Nordwesten

Ekwaro-Osire, Henry; Pehlken, Alexandra; Mittelstand-Digital Magazin Wissenschaft trifft Praxis - Sonderausgabe Nachhaltigkeit; Mai / 2022

PDF BIB
Metric Based Dynamic Control Charts for Edge Anomaly Detection in Factory Logistics

Patrick Eschemann and Philipp Borchers and Dennis Lisiecki and Jan Elmar Krauskopf; Journal of Physics: Conference Series; oct / 2022

DOI BIB
Networks, platforms, and digital business ecosystems: mapping the development of a field

Baumann, Sabine and Leerhoff, Marcel; Handbook on Digital Business Ecosystems; 2022

BIB
Options for connecting decentralized data infrastructure to improve Supply-Chain decision making without giving up individual data property

Jonas Kallisch, Christoph Wunck; Decision Sciences Institute 2022 Annual Conference Proceedings; November / 2022

URL BIB
Securing the data bridges in digital supply chains

Jonas Kallisch, Karl-Heinz Niemann und Christoph Wunck; ICTA EMoS; 11 / 2022

URL BIB

2021

Comparison of Production Dynamics Prediction Methods to Increase Context Awareness for Industrial Transport Systems

Philipp Borchers, Dennis Lisiecki, Patrick Eschemann, Linda Feeken, Mehrnoush Hajnorouzi, Ingo Stierand; Modelling and Simulation 2021; 10 / 2021

BIB
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

PDF URL DOI 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
Optimizing Factory Layouts With Supervised Genetic Algorithm

Patrick Eschemann, Jan Elmar Krauskopf, Dr. Jürgen Sauer, Jan Stefan Zernickel; Modelling and Simulation’2021; 10 / 2021

URL BIB
EN: Alle Publikationen aus dem Bereich Manufacturing Operations Management
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