Target costs, effect of product-design changes on product costs. Neuro Instruments uses a manufacturing costing system with one direct-cost category (direct materials) and three indirect-cost categories: a. Setup, production-order, and materials-handling costs that vary with the number of batches b. Manufacturing-operations costs that vary with machine-hours c. Costs of engineering changes that vary with the number of engineering changes made In response to competitive pressures at the end of 2016, Neuro Instruments used value-engineering tech- niques to reduce manufacturing costs. Actual information for 2016 and 2017 is as follows: 2016 2017 Setup, production-order, and materials-handling costs per batch $ 8,900 $8,000 $ 48 $16,000 $8,000 $ 64 Total manufacturing-operations cost per machine-hour Cost per engineering change The management of Neuro Instruments wants to evaluate whether value engineering has succeeded in reducing the target manufacturing cost per unit of one of its products, HJ6, by 5%. Actual results for 2016 and 2017 for HJ6 are: Actual Results for 2016 Actual Results for 2017 Units of HJ6 produced Direct material cost per unit of HJ6 Total number of batches required to produce HJ6 2,700 4,600 $ 1,400 $ 1,300 60 70 Total machine-hours required to produce HJ6 Number of engineering changes made 20,000 30,000 24

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Calculate the manufacturing cost per unit of HJ6 in 2016.

Target costs, effect of product-design changes on product costs. Neuro Instruments uses a
manufacturing costing system with one direct-cost category (direct materials) and three indirect-cost
categories:
a. Setup, production-order, and materials-handling costs that vary with the number of batches
b. Manufacturing-operations costs that vary with machine-hours
c. Costs of engineering changes that vary with the number of engineering changes made
In response to competitive pressures at the end of 2016, Neuro Instruments used value-engineering tech-
niques to reduce manufacturing costs. Actual information for 2016 and 2017 is as follows:
2016
2017
Setup, production-order, and materials-handling costs per batch $ 8,900 $8,000
$ 48
$16,000 $8,000
$ 64
Total manufacturing-operations cost per machine-hour
Cost per engineering change
The management of Neuro Instruments wants to evaluate whether value engineering has succeeded in
reducing the target manufacturing cost per unit of one of its products, HJ6, by 5%.
Actual results for 2016 and 2017 for HJ6 are:
Actual Results for 2016 Actual Results for 2017
Units of HJ6 produced
Direct material cost per unit of HJ6
Total number of batches required to produce HJ6
2,700
4,600
$ 1,400
$ 1,300
60
70
Total machine-hours required to produce HJ6
Number of engineering changes made
20,000
30,000
24
Transcribed Image Text:Target costs, effect of product-design changes on product costs. Neuro Instruments uses a manufacturing costing system with one direct-cost category (direct materials) and three indirect-cost categories: a. Setup, production-order, and materials-handling costs that vary with the number of batches b. Manufacturing-operations costs that vary with machine-hours c. Costs of engineering changes that vary with the number of engineering changes made In response to competitive pressures at the end of 2016, Neuro Instruments used value-engineering tech- niques to reduce manufacturing costs. Actual information for 2016 and 2017 is as follows: 2016 2017 Setup, production-order, and materials-handling costs per batch $ 8,900 $8,000 $ 48 $16,000 $8,000 $ 64 Total manufacturing-operations cost per machine-hour Cost per engineering change The management of Neuro Instruments wants to evaluate whether value engineering has succeeded in reducing the target manufacturing cost per unit of one of its products, HJ6, by 5%. Actual results for 2016 and 2017 for HJ6 are: Actual Results for 2016 Actual Results for 2017 Units of HJ6 produced Direct material cost per unit of HJ6 Total number of batches required to produce HJ6 2,700 4,600 $ 1,400 $ 1,300 60 70 Total machine-hours required to produce HJ6 Number of engineering changes made 20,000 30,000 24
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