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  4. Ontology-Based Framework to Support Assembly System Rough Planning
 
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2025
Journal Article
Title

Ontology-Based Framework to Support Assembly System Rough Planning

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.
Author(s)
Lentes, Joachim  
Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO  
Riedel, Oliver  
Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO  
Journal
IFAC-PapersOnLine  
Project(s)
Digital Reality in Zero Defect Manufacturing  
Funder
Conference
Conference on Manufacturing Modelling, Management and Control 2025  
Open Access
File(s)
Download (504.84 KB)
Rights
CC BY-NC-ND 4.0: Creative Commons Attribution-NonCommercial-NoDerivatives
DOI
10.1016/j.ifacol.2025.09.187
10.24406/publica-5891
Additional link
Full text
Language
English
Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO  
Keyword(s)
  • Ontology-Based Framework

  • Assembly System Rough Planning

  • Requirements Integration

  • Semantic Systems

  • Planning Support Systems

  • Decision-Support

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