W7_Afra_Run Chart

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1.      Problem Recognition 

PMP is a project management course that blended learning program designed to develop competency in the application of the tools and techniques of project management using a structured approach. This course contains 3 main projects: blog posting, weekly report, and a research paper. Since I'm behind schedule on paper submission, I decided to study the trends or patterns of actual hours for preparing the paper and explore whether the actual hours are different prior and after submission in order to come up with a solution. 
Run Chart will be used to compare the trends or patterns of preparing paper prior and after the paper submission.


2.      Feasible alternatives

Based on problem mentioned above, I defined three feasible alternatives: 
1.      The result shows the performance decreased prior the paper submission and increased after the paper submission.
2.      The result shows the performance remains the same prior and after the paper submission.
3.      The result shows the performance increased prior the paper submission and decreased after the paper submission.



3.      Development of the outcome of Alternative

Run chart shows how the process is running, it does not require calculations or special software to produce. It plots observed values on the y-axis and the times they were observed on the x-axis. In addition, there are four steps to creating a run chart:
1.      Gather the data from weekly report (ACWP)
2.      Draw a graph with a vertical line and a horizontal line.
3.      Calculate the mean/median (whichever the data set indicates to be appropriate) and draw a horizontal line at that value – going across the graph.
4.      Plot the data in the sequence Plot the data in the sequence.



4.      Selection Criteria
Table 1 below shows the ACWP of preparing paper submission from week 1 to week 6.

Week
ACWP
1
90
2
228
3
366
4
501
5
621
6
771
Table 1: ACWP values for paper submission 

After collection data, mean and median (if required) intend to be calculated, the table below shows these values:

Evaluation
# of Samples
6
Min Value
90
Max Value
771
Total
2577
Mean
429.5
Table 2: Statistical evaluation of sample data

Next step is to draw a graph with a vertical line and a horizontal line and Plot the data in the sequence Plot the data in the sequence and draw the mean line on it.


Figure 1: Run chart for ACWP values


Then, using trend-analysis I compare the performance prior and after the paper submission.


Figure 2: The trend of performance

Figure 2 shows that the trends or patterns to prepare paper is increasing. The increase trends or patterns to prepare paper might happen due the learning curve is decreasing since the work becomes clearer each week.

5.      Analysis and comparison of the Alternative

As mentioned above, this blog supposes to determine if the performance of paper working increases or decrease along with the time, and to know whether it's going to be better or worse by coming weeks.
From the analysis and graphs above, it shows that the performance of paper is increasing over time and it's "hopefully" going to be better in the coming weeks.

6.      Selection of the preferred Alternative

Based on the calculation above, the result shows the trends or patterns to prepare paper prior and after the paper blog is increasing. To catch up the delay in paper submission (since I’m behind schedule as shown in the weekly report), I should catch up to submit my third draft be the end of this week.

7.      Performance Monitoring and the Post Evaluation of result

Run chart is a powerful tool used to keep track about the progress of your project, the one mistake I did here that such tool needs for a large sample of data (large sample more accurate result) so I prefer to re-write this blog once again in week 12 to keep track of blog submission.


References: 
1.       Run chart (What is it? When is it used?) | Data analysis tools | Quality Advisor. (2017). Pqsystems.com. Retrieved 18 December 2017, from http://www.pqsystems.com/qualityadvisor/DataAnalysisTools/run_chart.php
2.       Run Charts: A Simple and Powerful Tool for Process Improvement. (2017). Isixsigma.com. Retrieved 18 December 2017, from https://www.isixsigma.com/tools-templates/control-charts/run-charts-a-simple-and-powerful-tool-for-process-improvement/
3.       How to Make a Run Chart in Excel. Cfhi-fcass.ca. Retrieved 18 December 2017, from http://www.cfhi-fcass.ca/sf-docs/default-source/on-call/22-10-14-how-to-make-a-run-chart-in-excel-cfhi-tutorials-en.pdf?sfvrsn=2

Comments

  1. Dr. PDGDecember 18, 2017 at 4:36 PM

    Nice work Afra!!!! How about you try applying the same tools/techniques but this time, use SPI and CPI as the basis? See if the results are any different than using ACWP. Then you can compare ACWP, CPI and SPI to see which one yields the "best" or "most accurate" results?

    BR,
    Dr. PDG, Jakarta

    ReplyDelete
  2. afraalalawiDecember 19, 2017 at 8:58 AM

    Sure Dr, I'll do it this way for next time since I'm not really fine with this result.

    ReplyDelete

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