ENBIS-22 Trondheim Conference

Session

CONTRIBUTED Six Sigma and Design of Experiment

29 Jun 2022, 10:20

EL1

Conveners

CONTRIBUTED Six Sigma and Design of Experiment

• Sören Knuts (GKN Aerospace Sweden)

100. Lean Six Sigma in healthcare and the COVID-19 crisis

Prof. Ronald J.M.M. Does (IBIS UvA and University of Amsterdam)

29/06/2022, 10:20

Six Sigma

In this talk we reflect upon the ramifications of two decades of Lean Six Sigma implementations in Dutch healthcare institutions in the light of the current COVID-19 pandemic. We provide an evaluation of the impact that Lean Six Sigma implementations have had on the ability of Dutch healthcare institutions to respond adequately to healthcare needs during the COVID-19 crisis. An assessment of...

84. Process Optimization from Historical Data in Industry 4.0

Sergio García Carrión (Universitat Politècnica de València (UPV))

29/06/2022, 10:40

Six Sigma

Design of experiments (DOE) [1], the key tool in the Six Sigma methodology, provides causal empirical models that allow process understanding and optimization. However, in the Industry 4.0 era, it may be difficult to carry them out, if not unfeasible, due to the generally high number of potential factors involved, and the complex aliasing [2]. Nevertheless, nowadays, large amounts of...

134. Control Group versus Treatment Group Designs with Mixture Distributions

Prof. Daniel R. Jeske (University of California, Riverside)

29/06/2022, 11:00

I will discuss sample size calculations and treatment effect estimation for randomized clinical trials under a model where the responses from the treatment group follow a mixture distribution. The mixture distribution is aimed at capturing the reality that not all treated patients respond to the treatment. Both fixed sample trials and group sequential trials will be discussed. It will be...