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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Measuring Similarity for Manufacturing Process Models
verfasst von : Hyun Ahn, Tai-Woo Chang
Erschienen in: Advances in Production Management Systems. Smart Manufacturing for Industry 4.0
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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.