Quality 4.0—the challenging future of quality engineering

Is reliability a new science? A paper from the panel session held at the 10th International Conference on Mathematical Methods in Reliability

(2019) Nozer D. Singpurwalla et al.   APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY

Assessing the Value of Information of Data-Centric Activities in the Chemical Processing Industry 4.0

(2018) Marco S. Reis et al.   AICHE JOURNAL

Using dynamic Bayesian networks to model technical risk management efficiency

(2017) Anan Halabi et al.   QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL

Modeling the relationship between reliability assessment and risk predictors using Bayesian networks and a multiple logistic regression model

(2017) Anan Halabi et al.   Quality Engineering

Industrial Process Monitoring in the Big Data/Industry 4.0 Era: from Detection, to Diagnosis, to Prognosis

(2017) Marco Reis et al.   Processes

Reliability Data Analysis for Life Test Experiments with Subsampling

(2017) Laura J. Freeman et al.   JOURNAL OF QUALITY TECHNOLOGY

Some Challenges and Opportunities in Reliability Engineering

(2016) Enrico Zio   IEEE TRANSACTIONS ON RELIABILITY

A structured overview on the use of computational simulators for teaching statistical methods

(2016) Marco Reis et al.   Quality Engineering

Reliability Meets Big Data: Opportunities and Challenges

(2013) William Q. Meeker et al.   Quality Engineering

Design for Variation

(2012) Grant Reinman et al.   Quality Engineering