Mirko Kück
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View article: A multimodal dataset for process monitoring and anomaly detection in industrial CNC milling
A multimodal dataset for process monitoring and anomaly detection in industrial CNC milling Open
During the fourth industrial revolution, agile production methods have gained increasing importance to meet the growing demand for product individualization. Conventional process monitoring systems, which predominantly rely on static, stat…
View article: Machine Learning Applied to Logistics Decision Making: Improvements to the Soybean Seed Classification Process
Machine Learning Applied to Logistics Decision Making: Improvements to the Soybean Seed Classification Process Open
Soybean seed classification is a relevant and time-consuming process for Brazilian agribusiness cooperatives. This activity can generate queues and waiting times that directly affect logistics costs. This is the reason why it is so importa…
View article: Using Industry 4.0’s Big Data and IoT to Perform Feature-Based and Past Data-Based Energy Consumption Predictions
Using Industry 4.0’s Big Data and IoT to Perform Feature-Based and Past Data-Based Energy Consumption Predictions Open
Industry 4.0 and its technologies allow advancements in communications, production and management efficiency across several segments. In smart grids, essential parts of smart cities, smart meters act as IoT devices that can gather data and…
View article: Solving the Job-Shop Scheduling Problem in the Industry 4.0 Era
Solving the Job-Shop Scheduling Problem in the Industry 4.0 Era Open
Technological developments along with the emergence of Industry 4.0 allow for new approaches to solve industrial problems, such as the Job-shop Scheduling Problem (JSP). In this sense, embedding Multi-Agent Systems (MAS) into Cyber-Physica…
View article: Towards a simulation-based optimization approach to integrate supply chain planning and control
Towards a simulation-based optimization approach to integrate supply chain planning and control Open
Manufacturing organizations aim to adopt integrated supply chain planning to improve their operational performance. Technologies driving the 4th Industrial Revolution can support them by providing real-time data from physically distributed…
View article: Potential of a Multi-Agent System Approach for Production Control in Smart Factories
Potential of a Multi-Agent System Approach for Production Control in Smart Factories Open
Digitalization and Industry 4.0 allow for the development of new approaches to deal with classic industrial problems, such as production planning and control. In this context, Multi-Agent Systems (MAS) are a promising approach to exploit t…
View article: Evaluating the Robustness of Production Schedules using Discrete-Event Simulation
Evaluating the Robustness of Production Schedules using Discrete-Event Simulation Open
Complex stochastic job-shop scheduling problems can be handled by simulation-based optimization (SBO), combining the optimization capabilities of meta-heuristics with the system representativeness of simulation models. In order to explore …
View article: Emergence of Non-predictable Dynamics Caused by Shared Resources in Production Networks
Emergence of Non-predictable Dynamics Caused by Shared Resources in Production Networks Open
This paper discusses the usage of shared resources in the context of production networks. A simulation study investigates different scenarios of priority concepts for three companies within a small-scale production network including a shar…