Engineering

Case Study: JMP055 Increasing Bioavailability of a Drug using SMEDDSUse Mixture/formulation design to optimize multiple responses related to bioavailability of a drug.
Case Study: JMP052 Optimization of Microbial Cultivation ProcessUse Design of Experiments (DOE) to optimize the microbial cultivation process.
Case Study: JMP051* Polymerization at Lohmann - Part 2Use Functional Data Analysis to understand the intrinsic structure of the data.
Case Study: JMP050 Polymerization at Lohmann - Part 1 Application of statistical methods to understand the process and enhance its performance through Design of Experiments and regression techniques.
Case Study: JMP049 Manufacturing Excellence at Pharma Company - Part 3Use Design of Experiments (DOE) to advance knowledge about the process.
Case Study: JMP048 Manufacturing Excellence at Pharma Company - Part 2Use Measurement Systems Analysis (MSA) to assess the precision, consistency and bias of a measurement system.
Case Study: JMP047 Manufacturing Excellence at Pharma Company - Part 1Use control charts to understand process stability and analyze the patterns of process variation.
Case Study: JMP040 Manufacturing Systems VariationStudy the use of Nested Variability chart to understand and analyze the different components of variances. Also explore the ways to minimize the variability by applying various rules of operation related to variance.
Case Study: JMP038 Performance of Food Manufacturing Process - Part 2Evaluate the performance to specifications of a food manufacturing process using confidence intervals and hypothesis testing.
Case Study: JMP037 Performance of Food Manufacturing Process - Part 1Evaluate the performance to specifications of a food manufacturing process using graphical analyses and numerical summarizations of the data.
Case Study: JMP035 Durability of Mobile Phone Screen - Part 4Evaluate the durability of mobile phone screens in a drop test across various heights by building a single multiple logistic regression model. Use the model to estimate the probability of a screen being damaged across any drop height.
Case Study: JMP034 Durability of Mobile Phone Screen - Part 3Evaluate the durability of mobile phone screens in a drop test across various heights by building individual simple logistic regression models. Use the models to estimate the probability of a screen being damaged across any drop height.
Case Study: JMP033 Durability of Mobile Phone Screen - Part 2Evaluate the durability of mobile phone screens in a drop test at various drop heights. Determine if a desired level of durability is achieved for each of three types of screens and compare performance.
Case Study: JMP032 Durability of Mobile Phone Screen - Part 1Evaluate the durability of mobile phone screens in a drop test. Determine if a desired level of durability is achieved for each of two types of screens and compare.
Case Study: JMP003 Defect SamplingExplore the effectiveness of different sampling plans in detecting changes in the occurrence of manufacturing defects.

* This case study requires JMP Pro or JMP Student Edition.