Summary of Improving Energy Efficiency in Manufacturing: a Novel Expert System Shell, by Borys Ioshchikhes et al.
Improving Energy Efficiency in Manufacturing: A Novel Expert System Shell
by Borys Ioshchikhes, Michael Frank, Tresa Maria Joseph, Matthias Weigold
First submitted to arxiv on: 2 Nov 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Human-Computer Interaction (cs.HC); Software Engineering (cs.SE)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper presents a comprehensive comparison of existing expert system shells, highlighting their suitability for improving energy efficiency in manufacturing processes. The study emphasizes the importance of simple and rapid software implementation solutions to develop and deploy expert systems. A novel expert system shell is introduced, implemented in Jupyter Notebook, providing a flexible and easily integrable solution for expert system development. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary A new way to help factories use less energy! This paper compares different tools that make it easy to create expert systems, which are super helpful in identifying energy-saving opportunities. The researchers found some gaps in the existing tools and created their own, making it easier to develop and integrate expert systems into manufacturing processes. |
