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Assignment 2: Controls

As a quality analyst you are also responsible for controlling the weight of a box of cereal. The Operations Manager asks you to identify the ways in which statistical quality control methods can be applied to the weights of the boxes. Provide your recommendations to the Operations Manager in a two-three page report. Using the data provided in the Doc Sharing area labeled M4A2Data, create Xbar and R charts.

1. The control limits of the weights of the boxes.
2. Nonrandom patterns or trends, if any.
3. If the process is in control.
4. The appropriate action if the process is not in control.

Submit your handout and summary to the M4: Assignment 2 Dropbox byWednesday, April 22, 2015.

 Assignment 2 Grading Criteria Maximum Points Using the data provided created Xbar and R charts. 15 Set control limits for the weights of the boxes. 15 Established the criteria for nonrandom patterns or trends, if any. 15 Stated whether the process is in control, according to the limits and the criteria established in b and c above. 15 Suggested the appropriate action if the process is not in control. 15 Gave valid and supported reasons for their answer. 15 Used correct grammar, spelling, and word choice and cited all sources using correct APA style. 10 Total: 100

M4A2

1.       Go to Control- Chart for Doc Sharing

2.       Change sample size and k

3.       Figure out the range in excel =max(B3-D3) – min (B3-D3) =

The control limits of the weights of the boxes.

Nonrandom patterns or trends, if any. (range)

Is the process is in control?

Interpret the data using the following guidelines to determine if the process is in control:

One point outside the 3 sigma control limits

Eight successive points on the same side of the centerline

Six successive points that increase or decrease

Two out of three points that are on the same side of the centerline, both at a distance exceeding 2 sigmas from the centerline

Four out of five points that are on the same side of the centerline, four at a distance exceeding 1 sigma from the centerline f. Using an average run length (ARL) for determining process anomalies

The appropriate action if the process is not in control.