Publication
Exploring Historical Data Utilization in Skill-Based Production Systems
Patrick Kremser; Tatjana Legler; Martin Ruskowski
In: Procedia Computer Science, Vol. 253, Pages 2821-2830, ELSEVIER, 2025.
Abstract
This paper investigates the improvement of skill-based production systems through the use of historical performance data and emerging data-driven techniques. It provides an in-depth examination of case-based reasoning, knowledge graphs and simulation environments, evaluating their effectiveness in analyzing past activities and providing insights for future production tasks. The study explains how case-based reasoning draws on past examples for decision-making, knowledge graphs reveal data relationships, and simulation environments enable risk-free testing of different scenarios. Through a comparative analysis, the paper explores how these methods can be integrated into skills-based production to improve system efficiency and initiate steps towards greater autonomy. It outlines the strengths, limitations and future research opportunities, highlighting the importance of adopting these technologies to improve operational efficiency and adaptability in manufacturing. The aim of this paper is to demonstrate how historical data can enhance skill development and decision making in production systems.