Overview
Introduction
This project provides a project scenario to complete via an Excel spreadsheet. Includes two data sets and questions to answer for both data sets. This project requires you to use several analytical tools to arrange, display and analyze data.
Directions
Download and review the following files:
Project Excel file for completing this project: LG415_Course_Project.xlsxDownload LG415_Course_Project.xlsx (Attached)
Additional project information you will need to know in order to create the charts and perform the analyses correctly: LG415_Project_Additional_Info.docx Download LG415_Project_Additional_Info.docx (Attached)
Review the following for more information about creating X-bar and R and S Control Charts in Excel: Project VideoLinks to an external site. (See above video)
Read the following scenario to begin and complete the steps below.
Scenario
You are the Quality Manager for Widgets, Inc. You have just won a contract to produce a specialized widget that the customer requires a very tight specification limit. This widget is to be 5.50” in length, plus or minus .50”. This gives the total specification limit of 5.00” to 6.00”.
You have set up the production line to produce a test run of the widgets (Data Set 1). The sample size consists of a total of 20 samples per run, with a total of four (4) runs. A total of 80 samples will be used to determine if the process is capable of producing the widgets within specification.
Due to the specifications of the customer, and the setup of the manufacturing processes, the systematic random sampling technique was used to ensure that samples from each run were collected at the same point in time on different days. This provides the basis for the X-bar chart to group the sample from each run into logical subgroups.
Perform the following for:
Data Set 1
Date Set 2
X-Bar Charts Requirements
Calculate the subgroup mean for each numbered sample
Calculate the grand mean and standard deviation of the subgroup samples
Calculate the UCL and LCL of the grouped samples
Create the X-bar chart
Provide detailed analysis of the X-bar chart
IM Chart Requirements
To ensure that the process in actually producing individual widgets within specification limits, you have decided to use an Individual Measurement chart that will plot each of the 80 samples against a calculated UCL and LCL, as well as plotting the data against the customer specification limits.
Stack the sample data (place the run data into a single column. Run 1 first, Run 2 second, etc)
Using the Data Analysis Toolpak, create the Descriptive Statistics for the stacked data
Using the Descriptive Statistics output, calculate the UCL and LCL
Create the IM chart using the calculated UCL and LCL
Recopy the stacked data, and enter the customer specification limits
Create the IM chart of the sample data against the customer specifications
Provide a detailed analysis of both IM charts
Answer Questions for Data Sets
Answer the questions on the “Questions DS 1 or DS 2” tab on the spreadsheet, and follow the instructions.