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Learning Curve Theory

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Learning Curve Theory

What is the learning curve theory? According to Waterworth, the learning curve theory is defined as being the relationship between the times a task is completed compared to the amount of times it is done (2000). Another way to look at this theory is looking how the progress of an organization is related to the amount of time taken to do something in the organization. To better understand this theory, here is an example. An organization’s responsibility is to athletic wear. As the organization begins, the organization produces its first set of athletic wear after two weeks. After being teste, the organization is aware that the athletic wear’s coloring comes off after being in contact with water. After a year of producing and improving its athletic wear, the organization has become aware that the athletic wear does not get damaged when coming into contact with water. According to Leslie, the learning curve theory is relevant and important to project management because it enables the project manager to estimate how long the execution of the project will take and how the project will improve if done in the future (2006). This assignment will include why the learning curve theory is important and will provide a scenario in which it is being highlighted. It is important as a project member to understand how the Learning Curve Theory will be applied to a project. If the organization I work for was planning to begin using a new HRCloud to control Human Resources of the organization, I would know the learning curve does tie into this. Because HRCloud is a system that will need to be consistently updated, after a year, I could analyze the system’s efficiency and how it progressed over the course of that year. This is how I will apply the Learning Curve Theory as a project member. In the scenario, I am assigning cost for a certain project. The labor hours for the first iteration is 200,000, and it costs $60 per labor hour. I am supposed to find the estimated costs for the twentieth and fortieth iterations. After using the formula: Y=aX^b, I have come up with the following answers:
Twentieth Iteration: 8,127,758
Fortieth Iteration: 2,491,926

References
Leslie, M., & Holloway, C. A. (2006, July/August). The Sales Learning Curve. Harvard Business Review.
Waterworth, C. J. (2000, March). Relearning the learning curve: A review of the derivation and applications of learning-curve theory. Project Management Journal, 31(1), 24. Retrieved from http://eds.a.ebscohost.com.ezproxy.umuc.edu/eds/detail/detail?vid=17&sid=3651b434-7c8d-4b6b-b426-d4aefe0d264e@sessionmgr4004&hid=4102&bdata=JnNpdGU9ZWRzLWxpdmUmc2NvcGU9c2l0ZQ==#db=edsgao&AN=edsgcl.66614536

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