Call : (+91) 968636 4243
Mail : info@EncartaLabs.com
EncartaLabs

JMP - Custom Design of Experiments

( Duration: 2 Days )

This JMP - Custom Design of Experiments training course offers a fresh perspective about designing experiments through state-of-the-art features in JMP. This course specifically focuses on the principles of designing an experiment and how to use all of them to achieve an optimal design.

By attending JMP - Custom Design of Experiments workshop, delegates will learn to:

  • Use custom design for any experiment
  • Choose appropriate criteria for optimal design
  • Effectively and efficiently test factor effects or predict responses
  • Augment existing experiments to address new questions
  • Design and analyze experiments with hard-to-change factors
  • Eliminate noise from nuisance factors
  • Find best factor settings to achieve desired response levels

  • Attend a training on JMP Software: Data Exploration and JMP Software: ANOVA and Regression or have equivalent experience.

The JMP - Custom Design of Experiments class is ideal for:

  • Directors, managers, engineers, scientists, technicians, and analysts working in discovery, research, development, and quality assurance or control, as well as Black Belts working on Six Sigma projects

COURSE AGENDA

1

Introduction

  • Characteristics and benefits of custom design
  • Introduction to custom design interface and training simulators
  • Information in binary or continuous response
  • Location and spread statistics
2

Experiments with one factor

  • Categorical and continuous factors
  • Sample size, power, and balanced testing
  • Test point spacing and replication
  • Model verification and design augmentation
  • Standard errors of parameter estimates and prediction variance
  • Optimality criteria and design evaluation
3

Experiments with two factors

  • More information without adding resources
  • Blocked runs for homogeneous response
  • The interaction effect
  • Response surface models
  • Grouped runs and restricted randomization (split-plot design)
4

Multi-factor case studies

  • Optimize factor settings for multiple responses
  • Team activity: independently solve design and analysis problems
  • Simulation of live test results

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 6,000 various courses on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

View our other course offerings by visiting https://www.encartalabs.com/course-catalogue-all.php

Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.

Top
Notice
X