RStudio for Six Sigma - Process Capability

提供方
Coursera Project Network
在此指導項目中,您將:

Import datasets into RStudio; perform Process Capability Analysis

Use RStudio to calculate DPU, DPO, DPMO, Yield, Rolled Throughput Yield (RTY)

Use RStudio to calculate Short & Long Term Z Scores, Cp, Cpk, Pp and Ppk

Clock2 hours
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

Welcome to RStudio for Six Sigma - Process Capability. This is a project-based course which should take under 2 hours to finish. Before diving into the project, please take a look at the course objectives and structure. By the end of this project, you will understand the concepts like DPU, DPO and DPMO; learn to import discrete defect data file and perform Process Capability Analysis, understand Throughput Yield and Rolled Throughput Yield (RTY) and calculate RTY for data imported from a file, understand Z score, Short and Longterm Standard Deviation, Short and Longterm Z Bench, Cp, Cpk, Pp, Ppk, and perform Process Capability Analysis for continuous data.

您要培養的技能

  • R Programming
  • Data Analysis
  • Six Sigma
  • Process Capability
  • Rstudio

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Introduction to RStudio environment; import data into RStudio and perform Process Capability Analysis.

  2. Process Capability  for Discrete Type I Data based on Product Quality -  Individual and Overall DPU, DPO, DPMO and Z-Score.

  3. Process Capability  for Discrete Type II Data based on Product Quality - Individual and Overall DPU, Yield and Z-Score.

  4. Process Capability based on Process Steps - Classical Yield, First Pass Yield and Rolled Throughput Yield (RTY) for Type I and II Discrete Data.

  5. Process Capability for Continous Data - Calculating Z Score and DPMO for a Mean, Standard Deviation and Specification Limits.

  6. Process Capability for Continous Data - Calculating Z Short Term (Potential), Z Long Term (Actual), Cp, Cpk, Pp, Ppk.

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

常見問題

常見問題

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