A5029037030- Flexible and Reconfigurable Manufacturing Systems
- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Assembly Line Balancing Optimization
- Business Process Modeling and Analysis
- Corporate Governance and Management
- Manufacturing Process and Optimization
- Collaboration in agile enterprises
- Supply Chain and Inventory Management
- Advanced Control Systems Optimization
- Simulation Techniques and Applications
- Product Development and Customization
- Service-Oriented Architecture and Web Services
- Quality and Supply Management
- Digital Transformation in Industry
- RFID technology advancements
- Digital Innovation in Industries
- Multi-Agent Systems and Negotiation
- Vehicle Routing Optimization Methods
- Natural Language Processing Techniques
- Speech and dialogue systems
- Advanced Queuing Theory Analysis
- Linguistic research and analysis
- Maritime Ports and Logistics
- Urban and Freight Transport Logistics
University of Bremen
2010-2021
Staats- und Universitätsbibliothek Bremen
2013-2016
Bremer Institut für Produktion und Logistik GmbH
2008-2014
Institut für Seeverkehrswirtschaft und Logistik
2013
Messer (Germany)
2011
Deutsche Messe (Germany)
2011
Institute for Applied Systems Technology Bremen
2004-2011
Bielefeld University
1996-2002
Brandenburg University of Technology Cottbus-Senftenberg
1996-2001
McKinsey & Company (Germany)
2001
The adoption of Cyber-Physical Systems (CPS) in production networks enables new potential for improved efficiency, accountability, sustainability and scalability. In terms transport processes, materialising this requires customised technological concepts, planning control methods as well business models. Even though CPS strongly rely on advancements, the creativity, flexibility problem solving competence human stakeholders is needed their operation. This paper introduces reviews social...
Developing dispatching rules for manufacturing systems is a process, which time- and cost-consuming. Since there no good general rule different scenarios objectives automatic search mechanism are investigated. In this paper an approach using Genetic Programming (GP) presented. The priority generated by GP evaluated on dynamic job shop from literature compared with manually developed yielding very promising results also interesting Simulation Optimization in general.
Dispatching rules are frequently used for real-time, online scheduling in complex manufacturing systems. Design of such is usually done by experts a time consuming trial-and-error process. Recently, evolutionary algorithms have been proposed to automate the design There several possibilities represent this hyper-heuristic search. Because representation determines search neighborhood and complexity that can be evolved, suitable choice key successful algorithm. In paper we empirically compare...
Decentralised scheduling with dispatching rules is applied in many fields of production and logistics, especially highly complex manufacturing systems. Since are restricted to their local information horizon, there no rule that outperforms other across various objectives, scenarios system conditions. In this paper, we present an approach dynamically adjust the parameters a depending on current The influence different parameter settings chosen performance estimated by machine learning method,...
Dispatching rules play an important role especially in semiconductor manufacturing scheduling, because these fabrication facilities are characterized by high complexity and dynamics. The process of developing adapting dispatching is currently a tedious, largely manual task. Coupling Genetic Programming (GP), global optimization meta-heuristic from the family Evolutionary Algorithms, with stochastic discrete event simulation complex system we able to automatically generate for scenario...
Detecting surface defects is a challenging visual recognition problem arising in many processing steps during manufacturing. These occur with arbitrary size, shape and orientation. The challenges posed by this complexity have been combated very special, runtime intensive hand-designed feature representations. In paper we present machine vision system which uses basic patch statistics from raw image data combined two layer neural network to detect on textured weakly labeled data. Evaluation...
Purpose Item classification based on ABC‐XYZ analysis is of high importance for strategic supply and inventory control. It common to perform the with past consumption data. In this context, purpose study test hypothesis that an integration demand forecasts can improve performance item classification, in particular analysis. Design/methodology/approach For study, real data industrial enterprise mechanical engineering sector (focal company) were analyzed evaluated. Findings The shows a...
Today, planning and control of logistic processes on automobile terminals are generally executed by centralised logistics systems, which cannot cope with high requirements for flexible order processing due to increasing dynamics complexity. The main business – notification vehicles manufacturer, transport terminal, storage technical treatment as well delivery dealer planned controlled application software systems. In the context this article, an innovative approach autonomous in is...