SpineML
A Python toolkit designed to optimize factory layout planning (FLP) and job shop scheduling (JSS) through advanced layout modeling and simulation.
đProject Details & Focus
SpineML is a dedicated solution designed with the core principles of reliability, usability, and modern architecture. It addresses critical needs in data-visualization, factory-layout, manufacturing-systems systems.
Key Areas of Focus:
- data-visualization: Implementation of standards, optimized performance, and interdisciplinary support.
- factory-layout: Implementation of standards, optimized performance, and interdisciplinary support.
- manufacturing-systems: Implementation of standards, optimized performance, and interdisciplinary support.
- open-source: Implementation of standards, optimized performance, and interdisciplinary support.
- optimization: Implementation of standards, optimized performance, and interdisciplinary support.
- python: Implementation of standards, optimized performance, and interdisciplinary support.
- scheduling: Implementation of standards, optimized performance, and interdisciplinary support.
- simulation: Implementation of standards, optimized performance, and interdisciplinary support.
đ¸Screenshots & Interface
Factory Layout Optimization
Grid-based editor showcasing industrial layout optimization and conveyor path planning.
Job Shop Scheduling Dashboard
Gantt chart visualization demonstrating process scheduling efficiency and bottleneck analysis.
GitHub Repo
SpineML
In this project we study techniques for reducing the effort of factory layout planning (FLP) and optimal job shop scheduling (JSS).
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Have questions about the architecture, want to contribute, or discuss commercial adoption and licensing? Feel free to reach out directly via email.
Project Inquiry & Collaboration
Send an email request to
georg.hackenberg@fh-wels.at
Typically responding within 2 business days.
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