Standard Costs Normal Costs
Direct Costs Standard price(s)
× Standard input
Actual price(s)
× Actual input
These journal entries differ from the normal costing entries because Work-in-Process Control is
no longer carried at “actual” costs. Furthermore, Direct Materials Control is carried at standard
unit prices rather than actual unit prices. Finally, variances appear for direct materials and direct
manufacturing labor under standard costing but not under normal costing.
7-32 Price and efficiency variances, benchmarking. Nantucket Enterprises manufactures in-
sulated cold beverage cups printed with college and corporate logos, which it distributes nationally
in lots of 12 dozen cups. In June 2017, Nantucket produced 5,000 lots of its most popular line of
cups, the 24-ounce lidded tumbler, at each of its two plants, which are located in Providence and
Amherst. The production manager, Shannon Bryant, asks her assistant, Joel Hudson, to find out the
precise per-unit budgeted variable costs at the two plants and the variable costs of a competitor,
Beverage Mate, who offers similar-quality tumblers at cheaper prices. Hudson pulls together the fol-
lowing information for each lot:
Per lot Providence Plant Amherst Plant Beverage Mate
Direct materials 74 lbs. @ $3.20 per lb. 76.5 lbs. @ $3.10 per
lb.
70 lbs. @ $2.90 per lb.
Direct manufacturing
labor
2.5 hrs. @ $12.00 per
hr.
2.4 hrs. @ $12.20 per
hr.
2.4 hrs. @ $10.50 per hr.
Variable overhead $20 per lot $22 per lot $20 per lot
Required:
1. What is the budgeted variable cost per lot at the Providence Plant, the Amherst Plant, and at
Beverage Mate?
2. Using the Beverage Mate data as the standard, calculate the direct materials and direct manu-
facturing labor price and efficiency variances for the Providence and Amherst plants.
3. What advantage does Nantucket get by using Beverage Mate’s benchmark data as standards
in calculating its variances? Identify two issues that Bryant should keep in mind in using the
Beverage Mate data as the standards.
SOLUTION
(25 min.) Price and efficiency variances, benchmarking.