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Project 91 ? Test Stand Cost Analysis Estimation
Handel Manufacturing Produces

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Project 9.1 ? Test Stand Cost Analysis Estimation
Handel Manufacturing produces test stands for various maintenance functions ranging from automobile to jet airline testing stations.For years,their cost estimating function was based on a myriad of historical data fed into a cost analysis model that produced very accurate estimates of both development and support costs for various proposed test stands.James Mudd was a recent hire into the cost analysis shop.Unfortunately,during his first week on the job,James deleted the cost analysis database and failed to maintain a backup of the model.Fortunately,all is not lost.The computer support personnel can come in Monday and retrieve the model using their system backup tapes.
Unfortunately,the cost proposals for three new test stand development and deployment projects are due first thing Monday morning.Since James recently left the company,you have been tasked to complete the cost estimate portion of the proposals.
After much gnashing of your teeth,you settle down to make the best of what you initially believe is a losing situation.While studying James' files you find historical records on 25 recent test stand development and deployment projects.Rejuvenated,you realize you can succeed in this prematurely perceived doomed situation.All you need to do is analyze this historical data,develop some cost estimating functions using regression,and then use your regression models to develop estimates for the three projects due Monday.The historical data in the files is the following.
Test Stand Product Cost Estimation
 Project 9.1 ? Test Stand Cost Analysis Estimation Handel Manufacturing produces test stands for various maintenance functions ranging from automobile to jet airline testing stations.For years,their cost estimating function was based on a myriad of historical data fed into a cost analysis model that produced very accurate estimates of both development and support costs for various proposed test stands.James Mudd was a recent hire into the cost analysis shop.Unfortunately,during his first week on the job,James deleted the cost analysis database and failed to maintain a backup of the model.Fortunately,all is not lost.The computer support personnel can come in Monday and retrieve the model using their system backup tapes. Unfortunately,the cost proposals for three new test stand development and deployment projects are due first thing Monday morning.Since James recently left the company,you have been tasked to complete the cost estimate portion of the proposals. After much gnashing of your teeth,you settle down to make the best of what you initially believe is a losing situation.While studying James' files you find historical records on 25 recent test stand development and deployment projects.Rejuvenated,you realize you can succeed in this prematurely perceived doomed situation.All you need to do is analyze this historical data,develop some cost estimating functions using regression,and then use your regression models to develop estimates for the three projects due Monday.The historical data in the files is the following. Test Stand Product Cost Estimation     The data estimates for the three cost proposal due Monday is the following: Estimates for New Lines   \begin{array}{llllllll} &\text { Lines of  } & \text {Reparable } & \text { Primary  } & \text {Deployed } & \text { Estmated  } & \text {Estmated }\\ &\text { Code } & \text {  Items } & \text { Functions  } & \text { Sites }& \text { Sales } & \text { Life } & \text { R\&M }\\ \hline1 & 5000 & 7 & 4 & 400 & 4000 & 7.5 & 0.965857 \\ 2 & 7500 & 5 & 5 & 450 & 4500 & 8.5 & 0.976311 \\ 3 & 34 n 0 & 6 & 3 & 375 & 3750 & 6 & 0.930541 \end{array}     One thing unclear from reading the files was on the form of the cost estimating relationships contained within the lost cost analysis model.You are somewhat sure the regression models were not polynomial in form,but you are not certain of this fact.You are not even sure which variables were included in the model for development cost and which variables were included in the model for support costs.However,you are undaunted because you know you can develop accurate models and produce good cost estimates for each of the proposed projects. Develop appropriate models for development and for support costs.Use these models to develop cost estimates for each of the new lines of test stands.For each of these cost estimates provide 95% confidence intervals for the predicted values.
The data estimates for the three cost proposal due Monday is the following:
Estimates for New Lines
 Lines of Reparable  Primary Deployed  Estmated Estmated  Code  Items  Functions  Sites  Sales  Life  R&M 150007440040007.50.965857275005545045008.50.976311334n063375375060.930541\begin{array}{llllllll}&\text { Lines of } & \text {Reparable } & \text { Primary } & \text {Deployed } & \text { Estmated } & \text {Estmated }\\&\text { Code } & \text { Items } & \text { Functions } & \text { Sites }& \text { Sales } & \text { Life } & \text { R\&M }\\\hline1 & 5000 & 7 & 4 & 400 & 4000 & 7.5 & 0.965857 \\2 & 7500 & 5 & 5 & 450 & 4500 & 8.5 & 0.976311 \\3 & 34 n 0 & 6 & 3 & 375 & 3750 & 6 & 0.930541\end{array}


One thing unclear from reading the files was on the form of the cost estimating relationships contained within the lost cost analysis model.You are somewhat sure the regression models were not polynomial in form,but you are not certain of this fact.You are not even sure which variables were included in the model for development cost and which variables were included in the model for support costs.However,you are undaunted because you know you can develop accurate models and produce good cost estimates for each of the proposed projects.
Develop appropriate models for development and for support costs.Use these models to develop cost estimates for each of the new lines of test stands.For each of these cost estimates provide 95% confidence intervals for the predicted values.


Definitions:

Price of Beef

The cost at which beef is sold in the market, which can vary based on factors like quality, supply, and demand.

Equilibrium Price

The price at which the quantity of a good or service demanded by consumers equals the quantity supplied by producers.

Equilibrium Quantity

The quantity of goods or services supplied is equal to the quantity demanded at the market price.

Supply Decreases

A reduction in the quantity of a good or service that producers are willing and able to sell at a given price.

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