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Manufacturing Task Process Characterization Utilizing Response Surface Methodology

Manufacturing Task Process Characterization Utilizing Response Surface Methodology

Janet H. Sanders, Silvanus J. Udoka
Copyright: © 2012 |Volume: 3 |Issue: 2 |Pages: 16
ISSN: 1948-5018|EISSN: 1948-5026|EISBN13: 9781466612303|DOI: 10.4018/jgc.2012070105
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MLA

Sanders, Janet H., and Silvanus J. Udoka. "Manufacturing Task Process Characterization Utilizing Response Surface Methodology." IJGC vol.3, no.2 2012: pp.62-77. http://doi.org/10.4018/jgc.2012070105

APA

Sanders, J. H. & Udoka, S. J. (2012). Manufacturing Task Process Characterization Utilizing Response Surface Methodology. International Journal of Green Computing (IJGC), 3(2), 62-77. http://doi.org/10.4018/jgc.2012070105

Chicago

Sanders, Janet H., and Silvanus J. Udoka. "Manufacturing Task Process Characterization Utilizing Response Surface Methodology," International Journal of Green Computing (IJGC) 3, no.2: 62-77. http://doi.org/10.4018/jgc.2012070105

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Abstract

To meet today’s business culture of rapid deployment of new products and processes, engineering and manufacturing personnel must utilize efficient means for process development. This paper discusses a novel approach to characterize a task driven manufacturing process. The approach utilized Response Surface Methodology (RSM) to investigate, identify, and prioritize the key process drivers and subsequently develop quantifiable methods for setting the operating levels for the process drivers to determine if the current levels of these key process drivers result in a process response value that is near optimum. The approach identifies the improved response region, generates a mathematical model of the process and specifies an operating window that would yield consistent results for each of the process drivers. A High Strength Fiber Splicing process was used to demonstrate this approach. This study led to the identification of the region that improved the process yield from 65% to 85%.

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