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PUBLICATIONS

Developing a capability-based similarity metric for manufacturing processes

Published

Author(s)

Kevin Li, William Z. Bernstein

Abstract

Manufacturing taxonomies and accompanying metadata of manufacturing processes have been catalogued in both reference books and databases online. However, such information remains in a form that is uninformative to the various stages of the product life cycle, including the design phase and manufacturing-related activities. This challenge lies in the varying nature in how the data is captured and represented. In this paper, we explore measures for comparing manufacturing data with the goal of developing a holistic, capability-based similarity metric for manufacturing processes. To judge the effectiveness of these metrics, we apply permutations of them to 26 manufacturing process models, such as blow molding, die casting, and milling, that were created based on the E3012-16 standard. Furthermore, we provide directions towards the development of an aggregate similarity metric considering multiple capability features. In the future, this work will contribute to a broad vision of a manufacturing process model repository by helping ease decision-making for engineering design and planning.
Proceedings Title
Proceedings of the ASME 2016 Manufacturing Science and Engineering Conference (MSEC2016)
Conference Dates
June 4-8, 2017
Conference Location
Los Angeles, CA, US
Conference Title
The ASME 2016 Manufacturing Science and Engineering Conference (MSEC2016)
Pub Type
Conferences

Download Paper

https://doi.org/10.1115/MSEC2017-2790
Local Download

Keywords

Unit manufacturing process, process capability, similarity metric, supplier discovery, database exploration
Manufacturing systems design and analysis

Citation

Li, K. and Bernstein, W. (2017), Developing a capability-based similarity metric for manufacturing processes, Proceedings of the ASME 2016 Manufacturing Science and Engineering Conference (MSEC2016), Los Angeles, CA, US, [online], https://doi.org/10.1115/MSEC2017-2790, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=922237 (Accessed April 26, 2024)

Created June 7, 2017, Updated April 6, 2022