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Towards a standards-based methodology for extending manufacturing process models for sustainability assessment

Published

Author(s)

Karl Haapala, Arvind Shankar Raman, KC Morris

Abstract

Over the past decade, several efforts have characterized manufacturing processes from a sustainability perspective. In addition, frameworks, methodologies, and standards development for characterizing and linking unit manufacturing process (UMP) models to construct manufacturing system models for supporting sustainability assessment have been pursued. In this paper these research efforts are first briefly reviewed, and then ASTM standards derived from this work are described and built upon. The contribution of this research is to demonstrate how more formalization of these prior efforts will facilitate systematic reuse of developed models by encapsulating different aspects of complex processes into reusable building blocks. The research defines the concept of a template UMP information model, which can further be abstracted and customized to represent an application-specific, higher-order manufacturing process model. The methodology developed is based on the ASTM standards of characterizing manufacturing process for sustainability characterization. The approach is demonstrated for analyzing manual and computer numerically controlled (CNC) machining processes.
Proceedings Title
46th SME North American Manufacturing Research Conference (NAMRC) and the ASME Manufacturing
Science and Engineering Conference (MSEC 2018)
Conference Dates
June 18-22, 2018
Conference Location
College Station, TX, US

Keywords

manufacturing process modeling, sustainable manufacturing, smart manufacturing, manufacturing informatics

Citation

Haapala, K. , Shankar Raman, A. and Morris, K. (2018), Towards a standards-based methodology for extending manufacturing process models for sustainability assessment, 46th SME North American Manufacturing Research Conference (NAMRC) and the ASME Manufacturing Science and Engineering Conference (MSEC 2018), College Station, TX, US, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=925513 (Accessed August 10, 2022)
Created June 18, 2018, Updated April 11, 2022