NDLI: Using higher precision-based response surface designs to determine the optimal process target

Content Provider	Springer Nature Link
Author	Goethals, Paul L. Cho, Byung Rae
Copyright Year	2011
Abstract	The selection of the optimal process target is critically important as it directly affects the defect rate, material cost, scrap and rework costs, and the loss to customers. Within the context of the optimal process target problem, a new model is proposed in this paper and two distinct contributions to the related topic are offered. First, while most research work assumes a given process distribution with a known variance, this paper integrates response surface designs into solving the optimal process target problem, thus removing the need to make assumptions regarding process parameters. Second, typical response surface designs consider second-order fitted functions; however, this paper considers a procedure to include higher-order polynomial terms that will result in higher prediction capabilities, thereby giving a more accurate representation of the true process. A constrained nonlinear optimization scheme is used to facilitate the development of this methodology and a numerical example is provided for illustration.
Starting Page	13
Ending Page	30
Page Count	18
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	56
Issue Number	1-4
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-02-02
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Response surface methodology Design of experiments Optimal process target Nonlinear programming Optimization Computer-Aided Engineering (CAD, CAE) and Design Mechanical Engineering Production/Logistics/Supply Chain Industrial and Production Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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