Critically evaluate the use of the following numerical forecasting methods in a project management context: Moving average, exponential smoothing, trend forecasting.

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Assignment 1: Moving average, exponential smoothing and trend forecasting

Using data and a project of your choice. Critically evaluate the use of the following numerical forecasting methods in a project management context: Moving average, exponential smoothing, trend forecasting. You must apply your findings in a practical context using a project of your choice and address how the data can be utilised to predict future trends.

1.     You must include an introduction to your project.

2.     An overview of the numerical methods used: Moving average, exponential smoothing and trend forecasting.

3.     Provide data and illustrate an understanding of SPSS analysis.

4.     Discuss the strengths and limitations of the numerical methods you use.

5.     Apply your findings in a project management context.

6.     A prediction of future trends.

You are required to work individually during this task.

Guidelines

·        This assignment should be submitted no later than 13:00 UK time on Monday of next week (week 4).

·        Your submission should be 1000 words in length (+/- 10%) and is worth 35% of your overall grade. For detailed instructions on completing this assignment, and to read the full assessment brief go to Module page.

·        Please make sure that you correctly cite and reference all secondary sources you use, and include a reference list. The reference list will not be included in your final word count.


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