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Problem 1 - Tessmer Manufacturing Company produces inventory in a highly automated assembly plant in Olathe, KS. The automated system is in its first year of operation and management is still unsure of the best way to estimate the overhead costs of operations for budgetary purposes. For the first six months of operation, the following data was collected:
Machine-hours Kilowatt-hours Total Overhead Costs
January 3,800 4,520,000 $138,000
February 3,650 4,340,000 136,800
March 3,900 4,500,000 139,200
April 3,300 4,290,000 136,800
May 3,250 4,200,000 126,000
June 3,100 4,120,000 120,000
Question 1: Use the high-low method to determine the estimating cost function with machine-hours as the cost driver. (five points)
Question 2: Use the high-low method to determine the estimating cost function with kilowatt-hours as the cost driver. (five points)
Question 3: For July, the company ran the machines for 3,000 hours and used 4,000,000 kilowatt-hours of power. The overhead costs totaled $114,000. Which cost driver was the best predictor for July? (five points)
Problem 2 - Louder Company manufactures part MNO used in several of its truck models. A total of 10,000 units are produced each year with production costs as follows:
Direct materials $ 45,000
Direct manufacturing labor 15,000
Variable support costs 35,000
Fixed support costs 25,000
Total costs $120,000
Louder Company has the option of purchasing part MNO from an outside supplier at $11.20 per unit. If MNO is outsourced, 40% of the fixed costs cannot be immediately converted to other uses.
Question 1: What amount of the MNO production costs is avoidable? (five points)
Question 2: Should the company outsource MNO? Why or why not? (five points)
Question 3: What other items should the company consider before outsourcing any of the parts it manufactures? (five points)
1. (TCO 3) McDevitt Company employs six individuals. Each is paid $12.50 per hour. How would total costs of personnel be classified? (Points : 3)
14 years ago
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Tessmer Manufacturing Company produces inventory in a highly automated assembly
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