Optimization of Process, Knowledge, and Manufacturing Management in Customized Production: A Graph-Based Approach for Manufacturing Planning

Bründl P, Stoidner M, Nguyen HG, Abrass A, Franke J (2024)

Publication Type: Conference contribution

Publication year: 2024

Journal

IFAC-PapersOnLine International Federation of Automatic Control

Publisher: Elsevier B.V.

Book Volume: 58

Pages Range: 1174-1179

Conference Proceedings Title: IFAC-PapersOnLine

Event location: Vienna AT

DOI: 10.1016/j.ifacol.2024.09.103

Abstract

This research paper describes the design and implementation of a graph-based database using Neo4J, specifically tailored to optimize process, knowledge, and manufacturing management in the custom manufacturing environment of control cabinet manufacturing. Given the challenges of digital transformation and increasing data complexity, traditional database systems often fall short in terms of scalability, flexibility, and visualization. This study addresses these gaps by leveraging the capabilities of graph databases. The paper presents a systematic methodology that includes abstraction, data preparation, integration, analysis, and validation against real-world parts lists. The research underscores the potential of graph databases to improve decision-making, streamline workflows, and maximize data-driven resources in an industry characterized by diverse production requirements without excessive manual data generation and management.

Authors with CRIS profile

Patrick Bründl Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS) Micha Stoidner Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS) Huong Giang Nguyen Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS) Jörg Franke Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS)

Involved external institutions

Rittal GmbH & Co. KG DE Germany (DE)

How to cite

APA:

Bründl, P., Stoidner, M., Nguyen, H.G., Abrass, A., & Franke, J. (2024). Optimization of Process, Knowledge, and Manufacturing Management in Customized Production: A Graph-Based Approach for Manufacturing Planning. In Fazel Ansari, Sebastian Schlund (Eds.), IFAC-PapersOnLine (pp. 1174-1179). Vienna, AT: Elsevier B.V..

MLA:

Bründl, Patrick, et al. "Optimization of Process, Knowledge, and Manufacturing Management in Customized Production: A Graph-Based Approach for Manufacturing Planning." Proceedings of the 18th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2024, Vienna Ed. Fazel Ansari, Sebastian Schlund, Elsevier B.V., 2024. 1174-1179.

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