Ontology-Based Framework to Support Assembly System Rough Planning

The demands on assembly systems are continuously increasing. Beyond the necessity to assemble highly complex products cost-effectively and with high quality in ever shorter time frames, aspects such as sustainability and resilience are gaining more importance, further intensifying the challenges in planning and its support. This paper presents a new ontology-based framework that combines a planning methodology, an ontology, and modular solution components to address these challenges. A prototype support system, developed based on this framework, was validated through an industrial case study, demonstrating its effectiveness in facilitating the rough planning phase of assembly systems. The results show significant improvements in decision-making processes within assembly system planning.

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Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.09.187
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
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article

Ontology-Based Framework to Support Assembly System Rough Planning

Joachim Lentes, Oliver Riedel
IFAC-PapersOnLine
Manufacturing Process and Optimization
article

Ontology-Based Framework to Support Assembly System Rough Planning

Joachim Lentes, Oliver Riedel
article en

Abstract

The demands on assembly systems are continuously increasing. Beyond the necessity to assemble highly complex products cost-effectively and with high quality in ever shorter time frames, aspects such as sustainability and resilience are gaining more importance, further intensifying the challenges in planning and its support. This paper presents a new ontology-based framework that combines a planning methodology, an ontology, and modular solution components to address these challenges. A prototype support system, developed based on this framework, was validated through an industrial case study, demonstrating its effectiveness in facilitating the rough planning phase of assembly systems. The results show significant improvements in decision-making processes within assembly system planning.

IFAC-PapersOnLineVol. 59(10)
University of Stuttgart (DE), Fraunhofer Institute for Industrial Engineering (DE)
Openalex Percentile: Top 63%
Manufacturing Process and Optimization
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Ontology-Based Framework to Support Assembly System Rough Planning — Joachim Lentes, Oliver Riedel · IFAC-PapersOnLine (2025) | TGRS Research Map | TGRS