Nicole Stricker
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View article: A Control Architecture for Robust and Resilient Circular Factories under Uncertain Conditions
A Control Architecture for Robust and Resilient Circular Factories under Uncertain Conditions Open
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View article: Towards practicality: Navigating challenges in designing predictive-reactive scheduling
Towards practicality: Navigating challenges in designing predictive-reactive scheduling Open
Today's agile production systems face an ever-increasing complexity due to individualized mass production, a volatile customer demand and dynamic events which disrupt the baseline schedule. Robustness and optimality of the schedule affect …
View article: IIOT visualization applications based on augmented reality – practical approach for easy implementation
IIOT visualization applications based on augmented reality – practical approach for easy implementation Open
Connecting machines and systems is becoming increasingly important, especially in technology-based companies. The use of Augmented Reality (AR) based systems can bring significant advantages, such as improved quality or increased productiv…
View article: Graph-based prediction of missing KPIs through optimization and random forests for KPI systems
Graph-based prediction of missing KPIs through optimization and random forests for KPI systems Open
Key performance indicators (KPIs) are widely used to monitor and control the production in industry. On an aggregated level, often represented as graphs or interrelated KPI systems, a comprehensive overview is given. However, missing or in…
View article: Current role of the digital transformation for improved materials and material utilization
Current role of the digital transformation for improved materials and material utilization Open
Material characteristics and utilization play an increasingly decisive role in a globally competing industry. Materials not only influence the possible product design, but also the feasible production processes and parameters. Knowledge ab…
View article: Comprehensive Validation Metrics and Precise Updating of Digital Twins of Production Systems
Comprehensive Validation Metrics and Precise Updating of Digital Twins of Production Systems Open
Despite continuous improvements in modelling, software tools and data availability, simulation projects of production systems still require a lot of manual effort, expertise in various disciplines and time.In many projects the high initial…
View article: Decentralized Multi-Agent Production Control through Economic Model Bidding for Matrix Production Systems
Decentralized Multi-Agent Production Control through Economic Model Bidding for Matrix Production Systems Open
Due to increasing demand for unique products, large variety in product portfolios and the associated rise in individualization, the efficient use of resources in traditional line production dwindles. One answer to these new challenges is t…
View article: Towards planning and control in cognitive factories - A generic model including learning effects and knowledge transfer across system entities
Towards planning and control in cognitive factories - A generic model including learning effects and knowledge transfer across system entities Open
Cognitive abilities allow robots to learn and reason from their environment. The gained knowledge can then be incorporated into the robot’s actions which in turn affect the environment. Therefore, a cognitive robot is no longer a static sy…
View article: Framework for simulation-based Trajectory Planning and Execution of Robots equipped with a Laser Scanner for Measurement and Inspection
Framework for simulation-based Trajectory Planning and Execution of Robots equipped with a Laser Scanner for Measurement and Inspection Open
Shorter product life cycles require ever faster planning processes for the manufacturing of products. This also applies for measuring processes to ensure compliance with geometric workpiece specifications. In addition, these processes must…
View article: Autonomous production control for matrix production based on deep Q-learning
Autonomous production control for matrix production based on deep Q-learning Open
Matrix production refers to a highly flexible production system based on independent production cells that are linked by a flexible transportation system. The production control system decides on the sequence of the production steps of eac…
View article: Deep Learning for Automated Product Design
Deep Learning for Automated Product Design Open
Product development is a highly complex process that has to be individually adapted depending on the companies involved, the product to be developed and the related designers. Within this process, the approach and the know-how of the desig…
View article: Autonomous planning tool for changeable assembly systems
Autonomous planning tool for changeable assembly systems Open
Car manufacturers are expected to start series production of fuel cell vehicles within the next years. Simultaneously, other industries are pushing towards the utilization of fuel cells. Fuel cell manufacturers need to scale up production …
View article: Augmented Go & See: An approach for improved bottleneck identification in production lines
Augmented Go & See: An approach for improved bottleneck identification in production lines Open
Bottlenecks in production lines are often shifting and thus hard to identify. They lead to decreased output, longer throughput times and higher work in progress. Go & See is a well-established Lean practice where managers go to the shop fl…
View article: Integrating product function design, production technology optimization and process equipment planning on the example of hybrid additive manufacturing
Integrating product function design, production technology optimization and process equipment planning on the example of hybrid additive manufacturing Open
New technologies can yield high market potential, but also challenge engineering capabilities. For example, additive manufacturing enables unlimited freedom of design and economical production of small batch sizes. However, there are huge …
View article: Data Analytics for Manufacturing Systems – A Data-Driven Approach for Process Optimization
Data Analytics for Manufacturing Systems – A Data-Driven Approach for Process Optimization Open
In the course of digitalization many small and medium-sized companies face the challenge of using the existing database for process optimization in manufacturing. Furthermore, the demand-oriented expansion of the database is a great challe…
View article: Variant flexibility in assembly line balancing under the premise of feasibility robustness
Variant flexibility in assembly line balancing under the premise of feasibility robustness Open
The final assembly of vehicles is frequently designed as a mixed model line which produces effectively at a fixed ratio of variants. Market forecasts indicate a volatile future demand for different types of vehicles such as electrified veh…
View article: Applying User Stories for a customer-driven Industry 4.0 Transformation
Applying User Stories for a customer-driven Industry 4.0 Transformation Open
This paper provides a procedure to support organizations transforming towards Industry 4.0. We suggest that current models do not put sufficient emphasis on avoiding the development of redundant solutions and the focus on customer needs. T…
View article: The RobustPlaNet Project: Towards Shock-Robust Design Of Plants And Their Supply Chain Networks
The RobustPlaNet Project: Towards Shock-Robust Design Of Plants And Their Supply Chain Networks Open
This paper provides an overview of the research goals and current research status of the EU-FP7 project RobustPlaNet. A description of the general concept and vision of the project is presented and the adopted definition of robustness at p…
View article: Preparation of Papers for IFAC Conferences & Symposia: Migration Planning for Global Production Networks using Markovian Decision Processes
Preparation of Papers for IFAC Conferences & Symposia: Migration Planning for Global Production Networks using Markovian Decision Processes Open
Modern globalization leads companies into a changing environment with a highly uncertain future development of key drivers of change. Especially, global production networks are affected by uncertainty and dynamic changes. Reactiveness beco…