5s training - Statistical View and Tutorials
Learn statistical analysis for 5S continuous improvement. Step-by-step Excel tutorials included! Boost efficiency and organization.
Course Content
5s training - Statistical View and Tutorials is an intermediate-level Udemy course taught by Jarryd Giose. It runs 53m, is taught in English, and includes a certificate of completion. Learners rate it 4.3 out of 5 from 27 reviews, with 7,312 students enrolled. It is a paid course, first published June 2021.
Learn to analyze your 5S implementation with statistical methods! This course provides a comprehensive tutorial for each of the 5S steps – Sort, Set in Order, Shine, Standardize, and Sustain – detailing their impact on overall efficiency and continuous improvement.
You'll gain practical skills to analyze your 5S program and contribute to meaningful improvements. Here's what you'll learn:
- Step-by-Step Data Analysis: Follow along from a blank Excel sheet to fully populated and calculated data, with clear explanations of each analytical step.
- Quantifying 5S: Understand how to measure the impact of your 5S efforts with data.
- Lean Manufacturing & Quality Basics: Explore fundamental lean manufacturing principles and quality control techniques.
- Excel Skills for Analysis: Develop basic Excel techniques for data manipulation and analysis.
- Quality Control Systems: Learn how to establish your own quality control systems for ongoing monitoring.
- Foundational Mathematics & Graphs: Understand the mathematical concepts and graphical representations used in 5S analysis.
We'll explore various scenarios and analyze each 5S step in isolation, examining both the potential profits and losses associated with each. Learn how to avoid pitfalls and maximize the benefits of a strong 5S culture.
This isn't about a pre-defined strategy; it's about analyzing and quantifying your 5S culture for continuous improvement. I'll guide you through the analysis, helping you understand the true value of a well-implemented 5S program.
I encourage active participation and welcome your questions throughout the lectures. Enjoy the learning process!
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