Improving Manufacturing Processes

This popular 4-day track provides participants with data analysis techniques for effectively improving manufacturing products and processes.

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Public Training Schedule

Minitab Essentials ( 2 Days )

In this 2-day foundational course you will learn to minimize the time required for data analysis by using Minitab to import data, develop sound statistical approaches to exploring data, create and interpret compelling graphs, and export results. Analyze a variety of real world data sets to learn how to align your applications with the right statistical tool, and interpret statistical output to reveal problems with a process or evidence of an improvement. Learn the fundamentals of important statistical concepts, such as hypothesis testing and confidence intervals, and how to uncover and describe relationships between variables with statistical modeling tools.

This course places a strong emphasis on making sound decisions based upon the practical application of statistical techniques commonly found in manufacturing, engineering, and research and development endeavors.

Topics include:

Importing and Formatting Data
Bar Charts
Pareto Charts
Tables and Chi-Square Analysis
Measures of Location and Variation

Proportion Tests
Tests for Equal Variance
Power and Sample Size
Simple Linear and Multiple Regression
Multi-Variable ANOVA

Statistical Quality Analysis ( 1 Day )

Develop the necessary skills to successfully evaluate and certify manufacturing and engineering measurement systems. Learn the basic fundamentals of statistical process control and how these important quality tools can provide the necessary evidence to improve and control manufacturing processes. Develop the skills to know when and where to use the various types of control charts available in Minitab for your own processes.

Learn how to utilize important capability analysis tools to evaluate your processes relative to internal and customer specifications. The course emphasis is placed on teaching quality tools as they relate to manufacturing processes.

Topics include:

Gage R&R
Destructive Testing
Gage Linearity and Bias
Attribute Agreement
Variables and Attribute Control Charts
Capability Analysis for Normal, Nonnormal, and Attribute Data

Factorial Designs ( 1 Day )

Learn to generate a variety of full and fractional factorial designs using Minitab’s intuitive DOE interface. Real-world applications demonstrate how the concepts of randomization, replication, and blocking form the basis for sound experimentation practices. Develop the skills necessary to correctly analyze resulting data to effectively and efficiently reach experimental objectives.

Use Minitab’s customizable and powerful graphical displays to interpret and communicate experimental results to improve products and processes, find critical factors that impact important response variables, reduce process variation, and expedite research and development projects.

Topics include:

Design of Factorial Experiments
Normal Effects Plot and Pareto of Effects
Power and Sample Size
Main Effect, Interaction, and Cube Plots
Center Points
Overlaid Contour Plots
Multiple Response Optimization

Public Training Schedule

Minitab Essentials - Manufacturing Quality

Statistical Quality Analysis & Factorial Designs - Manufacturing Quality


This program is a great help to all who want to do Data Analysis using Minitab 18

- Amit Gaur from Sage Metals Pvt Ltd

I liked examples, depth of technical coverage and open discussion during training. Use of Minitab for different statistical application is the main key takeaway form this training.

- Sumit Kumar Das from Ball Aerocan India Pvt Ltd

The training was delivered as per requirements. Examples which was given during training was relevant and helped to understand. Trainer's explanation was very good.

- Jagadeesh from Aequs Pvt Ltd

Well organized training with right examples helped a lot to learn Minitab.

- Manjanatha P from ASMIPL

Sample Material

Course materials for our training sessions were developed by Minitab experts with years of quality improvement experience. Sections are filled with hands-on examples, time-saving tips and more. They are a valuable resource and are yours to keep after any session.

Minitab Statistical Software Sample Course Materials

Manufacturing - Measurement Systems Analysis

A manufacturer of fuel injector nozzles has installed a new digital measuring system and wants to know how well it works. The investigator uses a crossed gage R&R study to assess both the measuring system and the consistency of those who operate it.

Clients Speak : Watch the video

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Register your interest for Public Training


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