Volume 27, Number 1, February 2011
Volume 27, Number 2, March 2011
Man Cheol Kim
, Jinkyun Park
: Development of a path model for human-induced unplanned reactor trips in nuclear power plants.
T. N. Goh
: Six Sigma in industry: some observations after twenty-five years.
, Taeho Crispin
: A hierarchical modeling approach to accelerated degradation testing data analysis: A case study.
Volume 27, Number 3, April 2011
, Yikung Pao
: The joint economic-statistical design of X and R charts for nonnormal data.
Hyun Cheol Lee
, Daniel W. Apley
: Improved design of robust exponentially weighted moving average control charts for autocorrelated processes.
: Exploring process capability with Mathematica.
Volume 27, Number 4, June 2011
Paul L. Goethals
, Byung Rae Cho
: The development of a robust design methodology for time-oriented dynamic quality characteristics with a target profile.
Volume 27, Number 5, July 2011
Ron S. Kenett
: The ENBIS10 Quality and Reliability Engineering International special issue.
: Methods and evaluations for surveillance in industry, business, finance, and public health.
: The use of neural networks in statistical process control charts.
: Estimating value at risk and conditional value at risk for count variables.
, Yisrael Parmet
: Comparison of Pearson distribution system and response modeling methodology (RMM) as models for process capability analysis of skewed data.
Volume 27, Number 6, October 2011
, Paul H. Kvam
: Multi-cause degradation path model: a case study on rubidium lamp degradation.
Volume 27, Number 7, November 2011
, Diem Nguyen
: Moving range charts for monitoring the Weibull shape parameter with single observation samples.
, Yang Jun
, Zhao Yu
: An integration design optimization framework of robust design, axiomatic design, and reliability-based design.
Volume 27, Number 8, December 2011
: An improved control chart structure for process location parameter.
, Jeffrey B. Birch
: Using a modified genetic algorithm to find feasible regions of a desirability function.
, Guohua Chen
: An effective sensitivity analysis methodology for the reliability-based structural optimization design to high temperature components.