10-36 Cost estimation, incremental unit-time learning model. Assume the same information for the Blue Seas Company as in Problem 10-35 with one exception. This exception is that Blue Seas uses a 90% incremental unit-time learning model as a basis for predicting direct manufacturing labor-hours in its assembling operations. (A 90% learning curve means b = −0.152004.) Prepare a prediction of the total costs for producing the six PT109s for the Navy. If you solved requirement 1 of Problem 10-35, compare your cost prediction there with the one you made here. Why are the predictions different? How should Blue Seas decide which model it should use?
10-36 Cost estimation, incremental unit-time learning model. Assume the same information for the Blue Seas Company as in Problem 10-35 with one exception. This exception is that Blue Seas uses a 90% incremental unit-time learning model as a basis for predicting direct manufacturing labor-hours in its assembling operations. (A 90% learning curve means b = −0.152004.) Prepare a prediction of the total costs for producing the six PT109s for the Navy. If you solved requirement 1 of Problem 10-35, compare your cost prediction there with the one you made here. Why are the predictions different? How should Blue Seas decide which model it should use?
Chapter1: Financial Statements And Business Decisions
Section: Chapter Questions
Problem 1Q
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10-36 Cost estimation, incremental unit-time learning model. Assume the same information for the Blue Seas Company as in Problem 10-35 with one exception. This exception is that Blue Seas uses a 90% incremental unit-time learning model as a basis for predicting direct manufacturing labor-hours in its assembling operations. (A 90% learning curve means b = −0.152004.)
- Prepare a prediction of the total costs for producing the six PT109s for the Navy.
- If you solved requirement 1 of Problem 10-35, compare your cost prediction there with the one you made here. Why are the predictions different? How should Blue Seas decide which model it should use?
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