Innovation and quality technology

Quality and Reliability Engineering International

Volumn 27, Issue 6, 2011, Pages 733-734

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Author keywords

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Indexed keywords

EID: 80052918839     PISSN: 07488017     EISSN: 10991638     Source Type: Journal    
DOI: 10.1002/qre.1267     Document Type: Editorial

References (7)

1. Montgomery DC,. Does Six-Sigma Stifle Innovation? Quality and Reliability Engineering International 2008; 24: 249.
2. Frisén M,. Methods and evaluations for surveillance in industry, business, finance, and public health. Quality and Reliability Engineering International 2011; 27: 611-621.
3. Chatfield MJ, Borman PJ, Damjanov I,. Evaluating change during pharmaceutical product development and manufacture-comparability and equivalence. Quality and Reliability Engineering International 2011; 27: 629-640.
4. Emmett M, Goos P, Stillman EC,. A weighted prediction-based selection criterion for response surface designs. Quality and Reliability Engineering International 2011; 27: 719-729.
5. Rand DR, McLinn JA,. Analysis of field failure data when modeled Weibull slope increases with time. Quality and Reliability Engineering International 2011; 27: 99-105.
6. Steenackers G, Versluys R, Runacres M, Guillaume P,. Reliability-based design optimization of computation-intensive models making use of response surface models. Quality and Reliability Engineering International 2011; 27: 555-568.
7. Ulusoy SK, Mazzuchi TA, Perlstein D,. Bayesian calculation of optimal burn-in time using the joint criteria of cost and delivered reliability. Quality and Reliability Engineering International 2011; 27: 569-580.