Order Number |
636738393092 |
Type of Project |
ESSAY |
Writer Level |
PHD VERIFIED |
Format |
APA |
Academic Sources |
10 |
Page Count |
3-12 PAGES |
Case Analysis on Ventron Engineering Company
Case, Analysis, Ventron, Engineering, Company
CLA 1 question
The Ventron Engineering Company has just been awarded a $2 million development contract by the U.S. Army Aviation Systems Command to develop a blade spar for its Heavy Lift Helicopter program.
The blade spar is a metal tube that runs the length of and provides strength to the helicopter blade. Due to the unusual length and size of the Heavy Lift Helicopter blade, Ventron is unable to produce a single-piece blade spar of the required dimensions using existing extrusion equipment and material.
The engineering department has prepared two alternatives for developing the blade spar:
Ventron must decide which process to use. (Backing out of the contract at any point is not an option.) The risk report has been prepared by the engineering department. The information from this report is explained next.
The sectioning option involves joining several shorter lengths of extruded metal into a blade spar of sufficient length. This work will require extensive testing and rework over a 12-month period at a total cost of $1.8 million. Although this process will definitely produce an adequate blade spar, it merely represents an extension of existing technology.
To improve the extrusion process, on the other hand, it will be necessary to perform two steps:
The first step will require six months of work, and if this first step is successful, the second step will require another six months of work. If both steps are successful, the blade spar will be available at that time, that is, a year from now.
The engineers estimate that the probabilities of succeeding in steps 1 and 2 are 0.9 and 0.75, respectively. However, if either step is unsuccessful (which will be known only in six months for step 1 and in a year for step 2), Ventron will have no alternative but to switch to the sectioning process—and incur the sectioning cost on top of any costs already incurred.
Development of the blade spar must be completed within 18 months to avoid holding up the rest of the contract. If necessary, the sectioning work can be done on an accelerated basis in a six-month period, but the cost of sectioning will then increase from $1.8 million to $2.4 million.
The director of engineering, Dr. Smith, wants to try developing the improved extrusion process. He reasons that this is not only cheaper (if successful) for the current project, but its expected side benefits for future projects could be sizable. Although these side benefits are difficult to gauge, Dr. Smith’s best guess is an additional $2 million. (These side benefits are obtained only if both steps of the modified extrusion process are completed successfully.)
Perform a data analysis of the risk report for the VP of Research and Development to support or reject Dr. Smith’s suggestion.
Sample answers
Statistics and types of statistics
Kaliyadan, F., & Kulkarni, V. (2019). Types of variables, descriptive statistics, and sample size. Indian dermatology online journal, 10(1), 82. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6362742/
This article discusses various aspects related to statistics such as the concept of variables, the various aspects of descriptive statistics, and the concepts of sampling. I can use some of the information in this article in my assignment to explain certain terms such as variables and descriptive statistics as a type of statistics.
Ranganathan, P., & Gogtay, N. J. (2019). An Introduction to Statistics–Data Types, Distributions and Summarizing Data. Indian journal of critical care medicine: peer-reviewed, official publication of Indian Society of Critical Care Medicine, 23(Suppl 2), S169. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707495/
This article explores the various types of data and how data is described and summarized. This article will help me define types of data as one of the terms associated with statistics and types of statistics.
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