Submit your INTRODUCTION AND ANALYSIS PLAN by describing the scenario provided in the case study, identifying quantifiable factors that may affect operational performance, developing a problem statement, and proposing a strategy for resolving a company’s
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milestone_project.docxFinal project: Creation of a statistical analysis report.
Milestone 1
Operations management professionals are often relied upon to make decisions regarding operational processes. Those who utilize a data-driven, structured approach have a clear advantage over those offering decisions based solely on intuition. You will be provided with a scenario often encountered by an operations manager. Your task is to review the “A-Cat Corp.: Forecasting” scenario, the addendum, and the accompanying data in the case scenario and addendum.
Submit your INTRODUCTION AND ANALYSIS PLAN by describing the scenario provided in the case study, identifying quantifiable factors that may affect operational performance, developing a problem statement, and proposing a strategy for resolving a company’s problem.
Specifically, the following critical elements must be addressed:
I. INTRODUCTION to the problem:
Provide a concise description of the scenario that you will be analyzing. The following questions might help you describe the scenario: What is the type of organization identified in the scenario? What is the organization’s history and problem identified in the scenario? Who are the key internal and external stakeholders?
II. Create an ANALYSIS PLAN to guide your analysis and decision-making:
1. Identify any quantifiable factors that may be affecting the performance of operational processes. Provide a concise explanation of how these factors may be affecting the operational processes.
2. Develop a problem statement that addresses the given problem in the scenario and contains quantifiable measures.
3. Propose a strategy that addresses the problem of the organization in the given case study and seeks to improve sustainable operational processes. How will adjustments be identified and made?
Final Project Case Addendum
Vice-president Arun Mittra speculates:
We have always estimated how many transformers will be needed to meet demand. The usual method is to look at the sales figures of the last two to three months and also the sales figures of the last two years in the same month. Next make a guess as to how many transformers will be needed. Either we have too many transformers in stock, or there are times when there are not enough to meet our normal production levels. It is a classic case of both under stocking and overstocking.
Ratnaparkhi, operations head, has been given two charges by Mittra. First, to develop an analysis of the data and present a report with recommendations. Second, “to come up with a report that even a lower grade clerk in stores should be able to fathom and follow.”
In an effort to develop a report that is understood by all, Ratnaparkhi decides to provide incremental amounts of information to his operations manager, who is assigned the task of developing the complete analyses.
A-Cat Corporation is committed to the pursuit of a robust statistical process control (quality control) program to monitor the quality of its transformers. Ratnaparkhi, aware that the construction of quality control charts depends on means and ranges, provides the following descriptive statistics for 2006 (from Exhibit 1).
2006
Mean 801.16
Standard Error 24.18766
Median 793
Mode 708
Standard Deviation 83.78851
Sample Variance 7020.515
Kurtosis -1.62662
Skewness 0.122258
Range 221
Minimum 695
Maximum 916
Sum 9614
Count 12
The operations manager is assigned the task of developing descriptive statistics for the remaining years, 2007–2010, that are to be submitted to the quality control department.
