ENBIS-23 Valencia Conference

Session

CONTRIBUTED Design of Experiments 4

13 Sept 2023, 09:40

2.9/2.10

Conveners

CONTRIBUTED Design of Experiments 4

• Xavier Tort-Martorell (UPC Universitat Politécnica de Catalunya, Barcelona Tech)

111. Retrospective DoE Methodology for Guiding Process Optimization from Historical Data

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

13/09/2023, 09:40

Design and analysis of experiments

The emergence of Industry 4.0 has led to a data-rich environment, where most companies accumulate a vast volume of historical data from daily production usually involving some unplanned excitations. The problem is that these data generally exhibit high collinearity and rank deficiency, whereas data-driven models used for process optimization especially perform well in the event of independent...

141. Optimal Experimental Designs for Testing of LED Lighting

Alessandro Di Bucchianico (Eindhoven University of Technology)

13/09/2023, 10:00

Design and analysis of experiments

Due to the LED industry's rapid growth and the ease of manufacturing LED lights, the LED market is highly competitive, making good price-quality ratio and being first-to-market crucial for manufacturers. To that end, accurate and fast lifetime testing is one of the key aspects for LED manufacturers. Lifetime testing of LED lighting typically follows experimental and statistical techniques...

164. Tremendous Impact of the Very New and Promising OMARS DOE in Pharma Industry for Quicker Access to New Vaccines

Bernard Francq (GSK)

13/09/2023, 10:20

Biostatistics

In the past, screening (which process parameters are impactful) and optimisation (optimise the response variable or the critical quality attribute, CQA) were 2 distinct phases performed by 2 designs of experiments (DoE). Then, the definitive screening designs (DSDs) published approximately 10 years ago attracted a lot of attention from both statisticians and non-statisticians, espcially in the...