[SPC Study 1] Which chart is best for my data? X-bar, R, S, Raw(I), MA, MR, EWMA, or np, p, c, u chart?

This post will compare;

#X-bar chart #R(Range) chart #S (sigma) chart, 

#I(raw) chart #MA(moving average) chart #MR(moving range) chart #EWMA chart

and....

#np chart #p chart #c chart #u chart



Hello :D

I recently have started working as a Quality Control Engineer at a pretty massive manufacturing establishment, and have come across a moment where I wanted to decide:

"WHICH TYPE OF SPC CHART IS WORTH MONOTORING FOR EACH OF MY PRODUCTION PARAMETERS?"

and this is how I came to my conclusions!


1. Decision Branch.

Here is meaning explained with examples for each term mentioned in the Decision Branch

#Continuous data: (subgrouping optional) weight, length, voltage of each product

#Continuous data: (No subgrouping) speed of conveyor belt, temperature of tank, wattage per hour of equipment

#Discrete data: (Defects) failed due to; surface breakage, contamination, low resistance

#Discrete data: (Defectives) failed product due to: how many-ever defects on one of product 


Now that I got to know which branch to follow to certain point, I needed to get to the bottom.

2. Comparison of each chart (Continuous data/ variables)


Here is meaning explained with examples for each chart for continuous data/variables

#X-bar chart: Measuring the weight of 5 cookies per batch and monitoring the average of these 5 over time

#R chart: Checking the variation in thickness for 3 sheets of glass in each batch

#S chart: Tracking the standard deviation of the tensile strength of 15 steel wires per batch

#Raw(I) chart: Monitoring temperature in a chemical process once a day

#MA chart: Monitoring monthly KPI but the average of last 3 months' average

#MR chart: Monitoring machine output of the day but the changes of it from last one

#EWMA chart: Tracking slow drift in a machine's calibration over time but with calculation to the values to amplify the shift


3. Comparison of each chart (Discrete data/ attributes)


These above 4 are used when the parameter is not measured values but a category such as;

Pass/fail, Small/Medium/Large, or Good/Bad.


If you want to know more about SPC chart as a beginner at manufacturing industry, stay tuned for my next updates!

Thank you.

This information was gathered through open-web-research and chat GPT






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