Measuring Similarity for Manufacturing Process Models - Advances in Production Management Systems - Smart Manufacturing for Industry 4.0
Conference Papers Year : 2018

Measuring Similarity for Manufacturing Process Models

Abstract

In manufacturing companies, it is vital to manage their manufacturing processes in order to ensure high quality of products and manufacturing consistency. Because so-called smart factories interconnect machines and acquire processing data, the business process management (BPM) approach can enrich the capability of manufacturing operation management. In this paper, we propose BPM-based similarity measures for manufacturing processes and apply them to the processes of a real factory. In addition to the structural similarity of the existing studies, we suggest a production-related operation similarity. Our contribution is considered on the assumption that a manufacturing company adopts the BPM approach and it operates a variety of manufacturing process models. The similarity measures enable the company to automatically search and reutilize models or parts of models within a repository of manufacturing process models.
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hal-02177892 , version 1 (09-07-2019)

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Hyun Ahn, Tai-Woo Chang. Measuring Similarity for Manufacturing Process Models. IFIP International Conference on Advances in Production Management Systems (APMS), Aug 2018, Seoul, South Korea. pp.223-231, ⟨10.1007/978-3-319-99707-0_28⟩. ⟨hal-02177892⟩
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