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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 41, 2009 - Issue 2
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Articles

A Review of Statistical Methods for Quality Improvement and Control in Nanotechnology

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Pages 148-164 | Published online: 21 Nov 2017

References

General References

Design of Experiments

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Data Collection, Analysis, and Modeling

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Statistical Process Control and Quality Control

  • Christofides, P. D. and Armaou, A. (2006). “Control and Optimization of Multiscale Process Systems”. Computers & Chemical Engineering 30 (10–12), pp. 1670–1686.
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  • Gallivan, M. A. (2005). “An Estimation Study for Control of a Lattice Model of Thin Film Deposition”. Computers & Chemical Engineering 29 (4), pp. 761–769.
  • Ganesan, R.; Das, T. K.; Sikder, A. K.; and Kumar, A. (2003). “Wavelet-Based Identification of Delamination Defect in CMP (Cu-Low k) Using Nonstationary Acoustic Emission Signal”. IEEE Transactions on Semiconductor Manufacturing 16 (4), pp. 677–685.
  • Jiang, X. and Blunt, L. (2004). “Third Generation Wavelet for the Extraction of Morphological Features from Micro and Nano Scalar Surfaces”. Wear 257, pp. 1235–1240.
  • Klepper, C. C.; Carlson, E. P.; Hazelton, R. C.; Yadlowsky, E. J.; Feng, B.; Taher, M. A.; and Meyer, H. M. (2005). “H-Alpha Emission as a Feedback Control Sensor for Reactive Sputter Deposition of Nano-Structured, Diamond-Like Carbon Coatings”. IEEE Transactions on Plasma Science 33 (2), pp. 799–807.
  • Lantz, M. A.; Binnig, G. K.; Despont, M.; and Drechsler, U. (2005). “A Micromechanical Thermal Displacement Sensor with Nanometre Resolution”. Nanotechnology 16 (8), pp. 1089–1094.
  • Lin, T.; Pan, Y.; and Hsieh, C. (2003). “Precision-Limit Positioning of Direct Drive Systems with the Existence of Ffriction”. Control Engineering Practice 11, pp. 233–244.
  • Lou, Y. and Christofides, P. D. (2003), “Estimation and Control of Surface Roughness in Thin Film Growth Using Kinetic Monte-Carlo Models”. Chemical Engineering Science 58, pp. 3115–3129.
  • Lou, Y. M. and Christofides, P. D. (2006). “Nonlinear Feedback Control of Surface Roughness Using a Stochastic PDE: Design and Application to a Sputtering Process”. Industrial & Engineering Chemistry Research 45 (21), pp. 7177–7189.
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Future Research

  • Edgar, T. F.; Butler, S. W.; Campbell, W. J.; Pfeiffer, C.; Bode, C.; Hwang, S. B., Balakrishnan, K. S.; and Hahn, J. (2000). “Automatic Control in Microelectronics Manufacturing: Practices, Challenges, and Possibilities”. Automatica 36 (11), pp. 1567–1603.
  • Del Castillo, E. (2006). “Statistical Process Adjustment: A Brief Retrospective, Current Status, and Some Opportunities for Further Work”. Statistica Neerlandica 60 (3), pp. 309–326.
  • Jeong, M. K.; Lu, J.-C.; and Wang, N. (2006). “Wavelet-Based SPC Procedure for Complicated Functional Data”. International Journal of Production Research 44 (4), pp. 729–744.
  • Qian, Z. and Wu, C. F. J. (2007). “Bayesian Hierarchical Modeling for Integrating Low-Accuracy and High-Accuracy Experiments”. Technometrics in press.
  • Joseph, V. R. (2003). “Robust Parameter Design with Feed-Forward Control”. Technometrics 45, pp. 284–292.
  • Sung, H. J.; Su, J.; Berglund, J. D.; Russ, B. V.; Meredith, J. C.; and Galis, Z. S. (2005). “The Use of Temperature-Composition Combinatorial Libraries to Study the Effects of Biodegradable Polymer Blend Surfaces on Vascular Cells”. Biomaterials 26, pp. 4557–4567.
  • Wang, K. and Tsung, F. (2007). “Run-to-Run Process Adjustment Using Categorical Observations”. Journal of Quality Technology 39 (4), pp. 312–325.
  • Wang, N.; Lu, J.-C.; and Kvam, P. (2007). “Multi-Level Spatial Modeling and Decision-Making with Application in Logistics Systems”. Technical report, The School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA.
  • Xia, H. F.; Ding, Y.; and Mallick, B. K. (2007). “Bayesian Hierarchical Model for Integrating Multi-Resolution Metrology Data”. Paper presented in the best student paper competition, INFORMS Conference–Quality, Statistics and Reliability Section, Seattle, WA.
  • Yuan, M.; Joseph, V. R.; and Lin, Y. (2007). “An Efficient Variable Selection Approach for Analyzing Designed Experiments”. Technometrics in press.
  • Yuan, T. and Kuo, W. (2006). “Defect Pattern Recognition in Semiconductor Fabrication Using Model-Based Clustering and Bayesian Inference”. Paper presented in the best student paper competition, INFORMS Conference–Quality, Statistics and Reliability Section, Pittsburgh, PA.

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