Author details
Author's Published Works
Author details
Showing 1-6 of 6 results
- Sort
Filter Results
Show
Sort By
Results
Enabling Fault Diagnosis in Skill-Based Production Environments
Pascal Rübel;Nastaran Moarefvand;William Motsch;Achim Wagner;Martin Ruskowski
2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Automated diagnosis of factories becomes increasingly important to avoid production stops and down times. Additionally, market trends such as small batch size induced by individual customer requirements lead to modular production systems elevating flexibility as well as complexity of smart factories. That leads to more difficulties using conventional diagnosis methods. The ever changing constellat...Show More
Dynamic Replanning using Multi-Agent Systems and Asset Administration Shells
Simon Jungbluth;Jesko Hermann;William Motsch;Monireh Pourjafarian;Aleksandr Sidorenko;Magnus Volkmann;Kuno Zoltner;Christiane Plociennik;Martin Ruskowski
2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)
Year: 2022 | Conference Paper |
Cited by: Papers (13)
To improve the fault tolerance of production systems against unforeseen events, modern production systems must be able to react more autonomously with suitable solutions to reach their goals. Such events within the company, e.g., resource breakdowns, require the possibility of internal replanning of the production schedule. Multi-Agent Systems (MAS) can provide this required flexibility. To enable...Show More
Optimal Load Control and Scheduling through Distributed Mixed-integer Linear Programming
Vassilios Yfantis;William Motsch;Nico Bach;Achim Wagner;Martin Ruskowski
2022 30th Mediterranean Conference on Control and Automation (MED)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
This paper presents a mixed-integer linear programming-based optimization model for simultaneous optimal load control and scheduling of distributed systems coupled through their energy consumptions. The subsystems are able to adjust their energy consumption during the execution of a task and aim at minimizing their completion time and energy cost. The overall problem is solved in a distributed fas...Show More
Concept for Modeling and Usage of Functionally Described Capabilities and Skills
William Motsch;Kirill Dorofeev;Kathrin Gerber;Sönke Knoch;Alexander David;Martin Ruskowski
2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )
Year: 2021 | Conference Paper |
Cited by: Papers (9)
Functionally described capabilities play an important role in the virtualization of manufacturing and the resource-specific realization with the skill-based approach. The importance of this modeling can be seen in a formalization of production capabilities for a holistic usage in a workflow from product orders towards manufacturing on the shop floor. This paper presents a concept for modeling and ...Show More
Utilizing Multi-Agent Deep Reinforcement Learning For Flexible Job Shop Scheduling Under Sustainable Viewpoints
Jens Popper;William Motsch;Alexander David;Teresa Petzsche;Martin Ruskowski
2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
Year: 2021 | Conference Paper |
Cited by: Papers (10)
Current trends place great demands on the flexibility and sustainability of modern production facilities. The optimisation of these Flexible Job Shop Scheduling Problems (FJSSP) under multiple objective variables, such as the makespan or the consumed energy, is a great challenge for today's planning systems due to the constantly changing constraints. In this paper, we present a method for multi-cr...Show More
Method for the development of an Asset Administration Shell in a product-driven modular production – realizing an active digital object memory
2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS)
Year: 2020 | Conference Paper |
Cited by: Papers (8)
Production environments need to cope with increasing complexity due to changing customer demands. An approach is the use of Asset Administration Shells (AAS) to realize intelligent production assets within a modular production. In this research, we develop a method to integrate an AAS for an active digital object memory model (ADOMe) for a product within the production, based on specifications of ...Show More
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.