ENBIS 2021 Spring Meeting

Session

Sensitivity/design optimization

1.1.2

17 May 2021, 10:00

Online

Conveners

Sensitivity/design optimization

• Jacqueline Asscher (Kinneret College and Technion)

50. Structural Equation Modeling of Coupled Twin-Distillation Columns

Dr Laura Castro-Schilo (SAS Institute), Dr Chris Gotwalt (SAS Institute), Dr Markus Schafheutle (Schafheutle Consulting)

17/05/2021, 10:00

Data Science in Process Industries

We describe a case study for modeling manufacturing data from a chemical process. The goal of the research was to identify optimal settings for the controllable factors in the manufacturing process, such that quality of the product was kept high while minimizing costs. We used structural equation modeling (SEM) to fit multivariate time series models that captured the complexity of the...

75. Inference and Design Optimization for a Step-Stress ALT under a Log-Location-Scale Family

Aruni Jayathilaka

17/05/2021, 10:20

Data Science in Process Industries

We investigate the inference and design optimization of a progressively Type-I censored step-stress accelerated life test when the lifetime follows a log-location-scale family. Although simple, the popular exponential distribution lacks model flexibility due to its constant hazard rates. In practice, Weibull or lognormal distributions, which are members of the log-location-scale family,...

76. Order-Restricted Bayesian Inference and Optimal Designs for for the Simple Step-Stress ALT

Crystal Wiedner

17/05/2021, 10:40

Data Science in Process Industries

We investigate the order-restricted Bayesian estimation and design optimization for a progressively Type-I censored simple step-stress accelerated life tests with exponential lifetimes under both continuous and interval inspections. Based on the three-parameter gamma distribution as a conditional prior, we ensure that the failure rates increase as the stress level increases. In addition, its...