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Development of an experiment-based robust design paradigm for multiple quality characteristics using physical programming

Kovach, Jami; Cho, Byung Rae; Antony, Jiju - In: The international journal of advanced manufacturing … 35 (2008) 11/12, pp. 1100-1112

Persistent link: https://www.econbiz.de/10003681629

Solving the optimal process target problem using response surface designs in heteroscedastic conditions

Goethals, Paul L.; Cho, Byung Rae - In: International journal of production research 49 (2011) 12/13, pp. 3455-3478

Persistent link: https://www.econbiz.de/10009152177

Development of a variance prioritized multiresponse robust design framework for quality improvement

Kovach, Jami; Cho, Byung Rae; Antony, Jiju - In: International journal of quality & reliability management 26 (2009) 4, pp. 380-396

Persistent link: https://www.econbiz.de/10009525899

Solving the optimal process target problem using computer-generated experimental designs

Goethals, Paul L.; Cho, Byung Rae - In: European journal of industrial engineering : EJIE 6 (2012) 2, pp. 234-258

Persistent link: https://www.econbiz.de/10009534004

The developmentof multi-response experimental designs for process parameter optimization

Goethals, Paul L.; Cho, Byung Rae - In: International journal of quality & reliability management 28 (2011) 6/7, pp. 628-648

Persistent link: https://www.econbiz.de/10009303297

Reverse programming the optimal process mean problem to identify a factor space profile

Goethals, Paul L.; Cho, Byung Rae - In: European journal of operational research : EJOR 215 (2011) 1, pp. 204-217

Persistent link: https://www.econbiz.de/10009313977

Designing the optimal mean for an asymmetrically distributed process

Goethals, Paul L.; Cho, Byung Rae - In: International journal of productivity and quality … 9 (2012) 1, pp. 82-102

Persistent link: https://www.econbiz.de/10009487407

The expanded DPMO interface for capturing the compounding effect of process mean and variability as a new paradigm for process evaluation and improvement

Krenek, Russel; Cho, Byung Rae - In: International journal of six sigma and competitive … 9 (2015) 2/3/4, pp. 174-207

Persistent link: https://www.econbiz.de/10011547620

Robust parameter design in embedded high-variability production processes : an alternative approach to mitigating sources of variability

Boylan, Gregory L.; Cho, Byung Rae - In: International journal of production research 51 (2013) 15, pp. 4517-4538

Persistent link: https://www.econbiz.de/10010128416

A logistic approximation to the cumulative normal distribution

Bowling, Shannon R.; Khasawneh, Mohammad T.; Sittichai … - In: Journal of industrial engineering and management : JIEM 2 (2009) 1, pp. 114-127

This paper develops a logistic approximation to the cumulative normal distribution. Although the literature contains a vast collection of approximate functions for the normal distribution, they are very complicated, not very accurate, or valid for only a limited range. This paper proposes an...

Persistent link: https://www.econbiz.de/10011898596