hospitals. Wright suspects that hospital controllers had systematically inflated their 2018 meal
estimates.
Required:
1. Recall that Mealman uses the master-budget capacity utilization to allocate fixed costs and to
price meals. What was the effect of production-volume variance on Mealman’s operating
income in 2018?
2. Why might hospital controllers deliberately overestimate their future meal counts?
3. What other evidence should Meals To Go’s president seek to investigate Wright’s concerns?
4. Suggest two specific steps that Wright might take to reduce hospital controllers’ incentives to
inflate their estimated meal counts.
SOLUTION
(20 min.) Cost allocation, responsibility accounting, ethics (continuation of 9-45).
1. (See Solution Exhibit 9-45). If Mealman uses the rate based on its master budget capacity
utilization to allocate fixed costs in 2018, it would allocate 876,000
$1.68 = $1,471,680.
Budgeted fixed costs are $1,533,000. Therefore, the production volume variance = $1,533,000 –
$1,471,680 = $61,320 U. An unfavorable production volume variance will reduce operating
income by this amount. (Note: in this business, there are no inventories. All variances are
written off to cost of goods sold).
2. Hospitals are charged a budgeted variable cost rate and allocated budgeted fixed costs.
By overestimating budgeted meal counts, the denominator-level is larger, hence the amount
charged to individual hospitals is lower. Consider 2018 where the budgeted fixed cost rate is
computed as follows:
If in fact, the hospital administrators had better estimated and revealed their true demand (say,
876,000 meals), the allocated fixed cost per meal would have been
3. Evidence that could be collected include:
(a) Budgeted meal-count estimates and actual meal-count figures each year for each
hospital controller. Over an extended time period, there should be a sizable number of both
underestimates and overestimates. Controllers could be ranked on both their percentage of
overestimation and the frequency of their overestimation.
(b) Look at the underlying demand estimates by patients at individual hospitals. Each
hospital controller has other factors (such as hiring of nurses) that give insight into their