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Productivity Improvement through Modeling: An Overview of Manufacturing Experience for the Food Industry

Published

Author(s)

Robert W. Ivester

Abstract

Food production and manufacturing of durable goods share common needs for understanding, modeling, and controlling processing conditions in order to obtain desirable product characteristics. This paper presents a review of research on manufacturing process modeling, with a focus on historical developments in the metrology and standards infrastructure to improve productivity and competitiveness of machining systems. To remain competitive, manufacturing requires accurate and reliable machines and processes whose characteristics are known and guaranteed for a wide variety of tasks and conditions. Productive, high-quality manufacturing will increasingly rely on a science-based understanding and monitoring of the available machining processes and equipment to produce the first part and every subsequent part on time and to specification with no significant time spent on process development or setup.
Citation
Comprehensive Reviews in Food Science and Food Safety
Volume
7
Issue
1

Keywords

machining process modeling, modeling uncertainty, physics-based modeling, robust optimization

Citation

Ivester, R. (2008), Productivity Improvement through Modeling: An Overview of Manufacturing Experience for the Food Industry, Comprehensive Reviews in Food Science and Food Safety, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=823010 (Accessed February 29, 2024)
Created March 3, 2008, Updated January 27, 2020