Product Architecture Mining: Identifying Current Architectural Solutions

2022
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Authors: Morten Skogstad; Thomas D. Brunoe; Kjeld Nielsen; Ann-Louise Andersen
Published in: Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems
Publisher: Springer International Publishing

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Abstract

The chapter introduces a novel approach for product architecture mining using data mining techniques to identify and model current architectural solutions in manufacturing companies. Facing increased competition and demand for customized products, manufacturers are adopting modularization strategies. The proposed method uses ERP data to create a company-specific ontology, enabling the quantitative modeling of product architectures. This approach facilitates strategic partitioning, interface identification, and future interface management, crucial for transitioning to modular product portfolios. The method is demonstrated through a case study on electric motors, showcasing its applicability and potential to streamline product architecture management. The chapter concludes by highlighting the need for further research into selecting which interfaces to retain or scrap, based on their connection to modularization drivers.

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Metadata
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Title: Product Architecture Mining: Identifying Current Architectural Solutions
Authors: Morten Skogstad
Thomas D. Brunoe
Kjeld Nielsen
Ann-Louise Andersen
Publisher: Springer International Publishing
Book: Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems
Print ISBN: 978-3-030-90699-3

Electronic ISBN: 978-3-030-90700-6

Copyright Year: 2022
DOI: https://doi.org/10.1007/978-3-030-90700-6_79

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