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Instructions:- Should use SPC tool, use a random data set ( will you take data or should we provide a dataset) Use quality tools such as mini tab,spss Also one more important thing, the random...

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Instructions:-
Should use SPC tool, use a random data set ( will you take data or should we provide a dataset) Use quality tools such as mini tab,spss
Also one more important thing, the random data should be on packaging. like packaging at an electronics manufacturing company
Also one more IMPORTANT thing, the random data hould be on packaging, for example:- Like packaging at an electronic manufacturing company.
So just throw this words/sentence around in the paper to show that the data we analyzed on is packaging data and NOT some random data on healthcare or food industry
This is a graduation paper
Answered 4 days After Nov 11, 2022

Solution

Bikash answered on Nov 12 2022
57 Votes
Introduction:
A control chart under Statistical Process Control (SPC) is a time series plot generated to help identify abnormal/special patterns of variability in a process. Control charts are used to monitor time-ordered data for a particular quality characteristic, such as product color, weight, packaging strength or temperature.
Statistical Process Control (SPC) is used in every industry to control the process parameters.
Case Study
An electronic manufacturer uses two machines to package its product. A quality engineer wants to assess the process capability of each machine. The engineer randomly samples 50 packages from each machine and records the weight of each package. The specification range is 31 oz ± 4 oz.
Data: PACKAGINGWEIGHT.MTW (Minitab worksheet)
    Worksheet column
    Description
    Packaging Weight
    The weight of each package
    Machine
    The machine identifier: Cu
ent or New
Analysis
Summary Report for Packaging Weight – Graphical Summary from Minita
Results for Machine = Cu
ent
As seen from the graphical summary graph below, the packaging weight from the cu
ent machine follows normal distribution with average of 30.577 oz.
As seen from the graphical summary graph below, the packaging weight from the new machine follows normal distribution with average of 30.369 oz.
Results...
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