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Case1-GreenValleyAssembly-2.xls

Case 1

DSC 211 Spring 2019 BUSINESS STATISTICS II
(Intro to Big Data and Business Analytics)
CASE 1:
Green Valley Assembly (GVA) Company - Process Improvement Via Teaming
1. Green Valley.
This company assembles consumer electronic products for major manufacturers.
The quality of the assembly work is very important -- the major manufacturers will go elsewhere if Green Valley
cannot produce high quality work.
2. Process Improvement Efforts Using Teams.
The Operations Department of GVA has been encouraging the development of work teams and,
within teams, building pride and cooperation towards team goals of high productivity at high levels of quality.
Top managers believe (hope?) that these approaches will lead not only to better worker satisfaction but also to
higher levels of productivity and quality.
For one area where GVA has been experimenting with these work team approaches,
they have now just completed a six-month trial. There are several thousand employees involved.
The purpose of this trial is to determine if team approaches lead to improved productivity, quality and satisfaction.
The previous (before trial) key measures of productivity are as follows:
Productivity Distribution Completed Units/Hr: 10 -11 >11-12 >12-13 >13
for all workers: Proportion of workforce: 14% 34% 36% 16%
Average Productivity for all workers: 12 completed units/hr
Productivity Consistency for all workers -- standard deviation of completed units/hr: 1.55 completed units/hr
The previous (before trial) level of quality (one key measure) for this work area is as follows:
Quality Measure 4: 12 percent rework
(percent of assemblies produced that were found to have some defect that required rework)
The previous (before trial) measure of worker satisfaction is as follows:
Worker satisfaction is measured from the responses of workers to one question on a questionnaire
given to workers once a year. The question is "What is your level of satisfaction with your overall job?"
The responses are from a 7 point scale where 1 = very satisfied and 7 = very dissatisfied.
The average satisfaction response score for all workers last year = 3.5
3. Process Improvement Evaluation Study & Data Collected
Now, at the end of the six-month trial, another study of productivity, quality, and satisfaction is being
undertaken. The regular year-end data collection can be used. One data set is based on a random sample
of 50 workers involved in this experiment and precise measurement of each worker's productivity. A second data set
gathered each year is a random sample of one key assembly (goes into most of our products) which
is inspected for minor or major defects. Also, the same 50 workers from this experiment completed a worker
questionnaire. Their responses to the "Satisfaction with My Overall Job" question are in the third data set.
The data results may be found on the second worksheet.
These data sets (from 50 workers and 123 assemblies) were collected to help answer the following questions
about the new team-based production processes:
(1) Has the productivity distribution of all workers changed, and if so how?
(2) Has the average productivity of all workers changed? If so, how?
(3) Has the consistency of productivity of workers improved?
(4) Has the quality of all finished assemblies improved?
(5) Has the average satisfaction level of all workers improved?
(6) Does there appear to be a relationship between worker productivity and satisfaction?
4. Assignment
Your team works at Green Valley in Operations. You have been asked to analyze the collected
sample data to help answer the business questions above and write a business memo with your results.
Use the following GVA format for your business memo. This memo is written to James Dunne, the VP of Operations,
so clearly answer the business questions asked and keep most of the technical detail in the attachments.
FORMAT FOR BUSINESS MEMO
Use the Date, To, From, Subject memo format (Word has templates for memos you could use)
Have the following sections of your memo:
1. Introduction. Explain the purpose of the study & provide the specific business questions you worked to answer.
2. Data. In this section, describe the sample data sources and data gathered. Refer to the attachments that
contain the complete data. Include descriptive statistics of the sample data in one or more tables and briefly
discuss.
3. Analysis Methodology. Briefly describe, in everyday business language, the methods used to analyze the data -- to
answer each question. Refer to the attachments for detail.
4. Analysis Results:
Provide one or more tables that show the first 5 questions, the previous values, a description of the sample,
the sample quantitative results, the p-value, and the business answer. (Note. See table template on another
tab of this file.) For question 6, provide a graph and your best business answer.
Provide a brief discussion of analysis results.
5. Study Conclusions & Recommendations
Brief summary of the study & the most important conclusions about the team-based production processes
that have been developed in the study.
Recommendations for management actions may be included.
Attachments
Attachment 1 - 6. One page for each analysis (for the six questions) showing all work & explanations.
Identify any assumptions/conditions necessary to use the method & how you checked out the assumptions
Attachment 7. Provide all the raw data values. Provide explanations as needed. Define all units
&F

Data

Assemblies Inspected
2 (0=no defect, 1=minor defect, 2=major defect)
2 NOTE: all defects require rework.
2
1 Productivity Sample (units/hr) Sat Score*
1 12.4 2 *7 point scale where
1 14.0 1 1=very satisfied
1 10.5 3 2-satisfied
1 14.4 5 3-somewhat satisfied
1 14.3 5 4-undecided
1 10.8 7 5-somewht dissatified
1 12.6 1 6-dissatisfied
0 12.0 2 7-very dissatisfied)
0 12.3 5
0 11.1 1
0 14.3 2
0 13.6 1
0 13.6 1
0 13.5 1
0 13.3 2
0 11.8 1
0 10.8 2
0 12.6 2
0 13.3 3
0 11.6 2
0 10.0 2
0 11.5 2
0 10.6 6
0 14.8 3
0 11.3 2
0 14.4 2
0 12.8 7
0 15.3 4
0 11.4 7
0 12.6 2
0 11.5 7
0 14.6 1
0 12.3 4
0 12.4 4
0 12.5 7
0 11.1 3
0 13.1 2
0 15.3 4
0 13.3 2
0 11.0 4
0 10.9 1
0 12.9 1
0 13.0 1
0 11.8 2
0 13.6 3
0 11.4 3
0 12.6 2
0 13.2 7
0 13.2 1
0 12.3 2
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
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0
0
0
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0
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0
0
0
0
0
0
0
0
0
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0
0
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Table Template

TABLE XX. RESULTS: Green Valley Process Improvement Program, Evaluation Study . . . . date
Business Question Previous Value (s) Sample Sample Results p-value* Business Answer
* p-value is ….
NOTE: For 'Sample,' give source of sample data and sample size.
NOTE: For "Sample Results," give sample statistic(s) related to the measure referred to in the business question.

HW8 -- Analysis Plan

HOMEWORK 8 NAME:
Business Questions Sample Data to use Analysis Method to use Ho: (if method is hyp testing)
(1) Has the productivity distribution of all workers changed, and if so how?
(2) Has the average productivity of all workers changed? If so, how?
(3) Has the consistency of productivity of workers improved?
(4) Has the quality of all finished assemblies improved?
(5) Has the average satisfaction level of all workers improved?
(6) Does there appear to be a relationship between worker productivity and satisfac?