Simulation Analytics & Bottleneck Optimization

Statistical output analysis for digital factory models: warm-up truncation, confidence intervals, bottleneck detection, and throughput optimization.

CourseDigital Factory Simulation & Production Engineering

LanguageEnglish

Module SequenceUnit 5

Module Overview

Exporting event logs, analyzing utilization metrics, and proving statistical confidence.

Covered Topics

Warm-up Period Determination
Confidence Intervals & Replications
Throughput Sensitivity Analysis

Applied Tools & Technologies

🛠️ Python🛠️ Pandas🛠️ Matplotlib

Discovered and ranked automatically based on shared topic tags. Matching tags are highlighted to reveal direct connections across articles, courses, projects, publications, and visualizations.

CourseWinter Term 2025/26

Computer-Simulation: Ereignisdiskrete & Hybride Systeme

Hochschulkurs zu Computer-Simulation an der FH OÖ: Stochastische Modellierung, Discrete-Event-Engines in C#, DGL-Löser und statistische Validierung.

#simulation #teaching

CourseSummer Term 2025

Internet der Dinge (IoT): Embedded C# & ThingsBoard

Praxisorientierter Hochschulkurs zum Internet der Dinge (IoT) mit ESP32-Firmware in C# (.NET nanoFramework), MQTT-Telemetrie und ThingsBoard Cloud.

#industrial-informatics #teaching

PresentationSep 25, 2026

Vom Web-Pionier zum Informatik-Professor: 25 Jahre im Code

Persönliche Keynote von Dr. Georg Hackenberg: 25 Jahre im Code zwischen autodidaktischen Web-Ursprüngen, Spitzenforschung, Industrie-IoT-Leadership und offener Hochschullehre.

#teaching #industrial-informatics

PublicationJan 1, 2025

On modeling, discrete-event simulation, and optimization of spine layouts

Today, discrete-event simulation (DES) has proven to be an essential tool for designing complex high-performance and cost-effective manufacturing systems. However, a significant challenge still lies in modeling specialized system layouts such as the spine layout, which is characterized by a central aisle flanked by corridors with workstations and served by an overhead automated material handling system. While the spine layout has demonstrated to be suitable in industries with complex operational requirements, current DES tools still lack dedicated modeling constructs for this type of layout and its characteristic properties, making the modeling process time-consuming and error-prone. To overcome the current situation, we develop a basic formalism that captures essential properties of spine layouts and defines their inherent discrete-event simulation semantics. Furthermore, we elaborate on the layout …

#factory-layout #simulation

Project

SpineML: Factory Layout & Job Shop Optimization

A Python toolkit designed to optimize factory layout planning (FLP) and job shop scheduling (JSS) through advanced layout modeling and simulation.

#factory-layout #simulation

PostSep 18, 2026

Procedural Graphs: Zuverlässige KI-Prozessautomatisierung

Warum über 80 % agentischer Pilotprojekte scheitern und wie Googles Procedural Graphs Standard Operating Procedures in selbstlernende Graphen überführen.

#industrial-informatics