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Drew Castello, general manager of Sunflower Manufacturing, was frustrated. He wanted the budgeted results, and his staff was not getting them to him fast enough. Drew decided to pay a visit to the accounting office, where Jeff Hollingsworth was supposed to be working on the reports. Jeff had recently been hired to update the accounting system and speed up the reporting process.

“What’s taking so long?” Drew asked. “When am I going to get the variance reports?” Jeff sighed and attempted to explain the problem. “Some of the variances appear to be way off. We either have a serious problem in production, or there is an error in the spreadsheet. I want to recheck the spreadsheet before I distribute the report.” Drew pulled up a chair, and the two men went through the spreadsheet together. The formulas in the spreadsheet were correct and showed a large unfavorable direct labor efficiency variance. It was time for Drew and Jeff to do some investigating.

After looking at the time records, Jeff pointed out that it was unusual that every employee in the production area recorded exactly eight hours each day in direct labor. Did they not take breaks? Was no one ever five minutes late getting back from lunch? What about clean­up time between jobs or at the end of the day?

Drew began to observe the production laborers and noticed several disturbing items. One employee was routinely late for work, but his time card always showed him clocked in on time. Another employee took 10­ to 15­minute breaks every hour, averaging about 1 hours each day, but still reported eight hours of direct labor each day. Yet another employee often took an extra 30 minutes for lunch, but his time card showed him clocked in on time. No one in the production area ever reported any “down time” when they were not working on a specific job, even though they all took breaks and completed other tasks such as doing clean­up and attending department meetings.

Requirements

1. How might the observed behaviors cause an unfavorable direct labor efficiency variance?

2. How might an employee’s time card show the employee on the job and working when the team member was not present?

3. Why would the employees’ activities be considered fraudulent?

Short Answer

Expert verified

1. The employees are filing timesheetsfor that time when they are not presentin the organization. It led to unfavorable direct labor efficiency variance.

2. The timesheet of the absenteesisfilled bytheemployees present at work.

3. The activities carried out by the employees are intentional.Therefore, they will be considered fraudulent activities.

Step by step solution

01

Definition of Fraudulent Activities

The intentional action is taken to take undue advantages by using false facts, and illegal means are known as fraudulent activities.

02

Cause for unfavorable direct labor efficiency variance

It is observed that the employees are filling 8 hours of working even when they are not doing so. One of them is coming late to work, one is taking a break every hour, and one employee is taking extra 30 minutes for lunch. These factors are not reported in the timesheet, leading to higher payments made to the labor than their actual payment. All these causes lead to unfavorable direct labor efficiency variance.

03

Information of employee, not present

The information about the employee not working is still reflected on the employee’s timecard because the time card must be filled by any other employee who is present and working in the same department. The employees might be filling out a timecard for each other. For example: If A is absent, B is filling the information, and when B is absent, A is filling the information.

04

Employee’s activities as fraudulent activities

The employee’s activities are considered fraudulent because they are taking undue advantage. They are filling timesheets for each other when some among them are absent. These activities led extra burden on the company as they have to pay their employees even when they are not working. It is fraudulent because it intends to get higher pay than its actual payment.

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Most popular questions from this chapter

Question:Garland Company expects to sell 600 wreaths in December 2018, but wants to plan for 100 more and 100 less than expected. The wreaths sell for \(5.00 each and have variable costs of \)2.00 each. Fixed costs are expected to be $500 for the month. Prepare a flexible budget for 500, 600, and 700 wreaths.

Explain the difference between a favorable and an unfavorable variance.

Question:Match the variance to the correct definition.

Variance Definition

2. Cost variance

3. Efficiency variance

4. Flexible budget variance

5. Sales volume variance

6. Static budget variance

a. The difference between the expected results in the flexible budget for the actual units sold and the static budget.

b. The difference between actual results and the expected results in the flexible budget for the actual units sold.

c. Measures how well the business keeps unit costs of material and labor inputs within standards.

d. The difference between actual results and the expected results in the static budget.

e. Measures how well the business uses its materials or human resources

Question:Mills, Inc. is a competitor of Murry, Inc. from Exercise E23­18. Mills also uses a standard cost system and provides the following information:

Static budget variable overhead \( 1,200

Static budget fixed overhead \) 1,600

Static budget direct labor hours 800 hours

Static budget number of units 400 units

Standard direct labor hours 2 hours per unit

Mills allocates manufacturing overhead to production based on standard direct labor hours. Mills reported the following actual results for 2018: actual number of units produced, 1,000; actual variable overhead, \(4,000; actual fixed overhead, \)3,100; actual direct labor hours, 1,600.

Requirements

1. Compute the variable overhead cost and efficiency variances and fixed overhead cost and volume variances.

2. Explain why the variances are favorable or unfavorable

List the eight product variances and the manager most likely responsible for each.

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