STANDARD COSTS

STANDARDS:  Budgets deal with total expected costs.  But, as you saw for Mooster's Dairy, these overall estimates are based upon fundamental assumptions about standard quantity and cost of inputs required in producing a single unit of output.  Recall for Mooster:  ". . . direct materials are variable and anticipated to be $1 per gallon ($100,000 in total), direct labor is variable and anticipated to be $.50 per gallon ($50,000 in total), and variable factory overhead is expected to be $1.50 per gallon ($150,000 in total)."  Standards are the predetermined expectation of the inputs necessary to achieve a unit of output.  Standard costs provide an assessment of what those inputs should cost.
Standards are important ingredients in planning and controlling a business.  You have just seen how they influence the budget preparation process.  They are also integral to the assumptions needed for proper cost-volume-profit analysis discussed in an earlier chapter.  Standards can also be used in pricing goods and services.  Perhaps you have had your car repaired; the bill is likely based on an hourly rate applied to a standard number of hours for the job (your specific repair might have actually taken more or less time).
This chapter will look at how standards are used for performance evaluation via measures of efficiency and cost incurrence.  You have perhaps worked in a restaurant.  Each cashier may have a standard for how much business they must "ring."   Managers have standards for how many tables must be "turned."  The bus staff is allowed only so much "breakage."  Virtually every business has a similar set of standards.  In a traditional manufacturing environment, a unit of finished goods is decomposed into its components to determine how much raw material, labor, and overhead is necessary to produce the item.  These component quantities are then considered in terms of what they should cost.
SETTING STANDARDS:  The decision about the quantity and cost of productive components is more complex than it may seem.  If you were building a new home, how much sheetrock (wall board) would you need for the job?  In calculating the quantity you would begin with the overall wall dimensions and back out the area for windows and doors.  But, you would also realize that some of the cutouts for windows would result in useless scrap material.  In addition, it is inevitable that some material will be damaged or cut in error.  In estimating the quantity of material, you will want to provide for such elements, but you also realize that excess material may not be easily returned without cost.  Determining the right quantity of sheetrock is much like setting standards in a business environment.  Standard setters need to understand waste, spoilage, evaporation, and other characteristics that consume raw materials.  Standard setters need to be mindful of how much time it takes to perform certain tasks, remembering that humans will make mistakes and need time to correct them.  Humans must also have periods of rest. 
Standards are applicable to manufacturing and nonmanufacturing tasks.  Even the accountants who are seen as the monitors of standards are themselves subject to standards.  An auditor may be allowed a certain number of hours to audit payroll, verify a bank reconciliation, and so forth.  Without standards, the tasks may expand in scope and time, beyond what is prudent or necessary.
Although performance reports may be prepared by managerial accountants, the standards themselves should originate with personnel who best understand the productive process.  These personnel should develop standards that are based on realistic information derived from careful study of business processes.  For example, an industrial engineer may engage in time and motion studies to determine the appropriate amount of time to complete a given task.  Past data may be used to provide realistic measures of the raw material quantity that is needed to complete a finished unit.  Some standards are based on averages; total estimated costs are divided by total estimated output or activity.  For example, standard variable overhead can be determined by dividing estimated variable overhead by the estimated activity level for the upcoming period.  Likewise, fixed standard per-unit overhead would be determined by dividing estimated fixed overhead by the estimated activity level.
PHILOSOPHY OF STANDARDS:  It has probably already occurred to you that standards can be set very tight, allowing almost no room for waste or rest.  Or, management may adopt a more realistic set of standards that are within reach.  After all, standards are somewhat like goals.  In playing a round of golf, most players will see "par" as a benchmark against which to compare a score; realistically, few players expect to achieve "par" on a consistent basis.  Nevertheless, it constitutes a standard.  At other times, golfers will calculate their "handicap" to determine a target score they plan to shoot on a given round of golf.  This is also a standard, but one that is expected to be achieved.  In setting standards within a business environment, management needs to consciously consider the level of standards to adopt:

• Achievable standards are realistically within reach.  Such standards take into account normal spoilage and inefficiency.  Such standards are intended to allow workers to reach the established benchmarks.  This level of standard provides a clear set of metrics against which job performance can be gleaned.  The interpretation is generally unambiguous; when goals are not met, improvement is needed.  It is also thought to reduce the opportunity for frustration and discouragement that can be associated with less attainable goals.
• Ideal standards may never be reached.  They represent what will result in a state of perfection -- no spoiled goods, no worker fatigue, no errors, etc.  The idea behind such standards is that employees will never rest on their laurels.  Instead, they will achieve their full potential by striving to hit the lofty goal.  Many businesses avoid ideal standards because they fear that employees will see ideal standards as meaningless since they cannot hope to achieve them.  In other words, the employees cease to strive for a goal they cannot hope to reach.  Further, such goals may not help in performance evaluations; what is the feedback value of telling employees they failed to a meet a such standards (after all, isn't that what was expected)?

THE DOWNSIDE OF STANDARDS:  A manager also needs to consider the downside of standards and develop compensating balances.  For instance, if employees are encourage to work fast, quality can suffer.  Standards need to be in place to make sure that quality of output is not adversely affected.  On the other hand, some seasoned employees may have become so skilled that they can easily meet their output goals and find themselves able to coast through the work day.  Usually skilled workers receive a higher pay scale; it is not unfair to expect them to produce more output.  Therefore, one standard may not fit all.  A good manager is particularly adept at helping to establish fair standards, and use them to plan and control the operations within their area of responsibility.
VARIANCE ANALYSIS
ACTUAL COSTS VS. STANDARD COSTS:  As already mentioned, standard costs provide information that is useful in performance evaluation.  Standard costs are compared to actual costs, and mathematical deviations between the two are termed variances.  Favorable variances result when actual costs are less than standard costs, and vice versa.
The following illustration is intended to demonstrate the very basic relationship between actual cost and standard cost.  AQ means the "actual quantity" of input used to produce the output.  AP means the "actual price" of the input used to produce the output.  SQ and SP refer to the "standard" quantity and price that was anticipated.  As you will soon see, variance analysis can be conducted for each factor of productive input: material, labor, and overhead.  For the moment, just focus on the major concept -- variances are simply the difference between actual cost incurred and the standard cost that was appropriate for the achieved production:

Variance analysis is the logical examination of the deviations in an attempt to identify areas for improvement.  Management is responsible for careful evaluation of variances.  This task is an important part of effective control of an organization.  While comparing total actual costs to total standard costs is interesting, it provides little useful information for pinpointing specific problem areas.  Instead, management must perform a more penetrating analysis into the detailed variances relating to each factor of production.

VARIANCES RELATING TO DIRECT MATERIALS:  The total variance for direct materials is found by comparing actual direct material cost to standard direct material cost.  The top portion of the illustration at right demonstrates this point.  However, the overall materials variance could result from any combination of having procured goods at prices equal to, above, or below standard cost, and using more or less direct materials than anticipated.  Proper variance analysis requires that the Total Direct Materials Variance be separated into the:

• Materials Price Variance:  A variance that reveals the difference between the standard price for materials purchased and the amount actually paid for those materials [(standard price - actual price) X actual quantity]. 
• Materials Quantity Variance:  A variance that compares the standard quantity of materials that should have been used to the actual quantity of materials used.  The quantity variation is measured at the standard price per unit [(standard quantity - actual quantity) X standard price].

If you carefully study the illustration, you will see there are several ways to perform the intrinsic variance calculations.  You can very simply compute the values for the red, blue, and green balls; noting the differences.  Or, you can perform the noted algebraic calculations for the price and quantity variances; adding them together gives you the total variance.  In performing the math operations, be very careful to note that unfavorable variances (negative numbers) offset favorable (positive numbers) variances.  But, don't get lost in the math and forget the importance of the analysis.  Management's goal is to pinpoint problem areas.  A total variance could be zero, resulting from the purchasing department having negotiated favorable pricing that was wiped out by waste in material usage.  A good manager would want to take corrective action, but would be unaware of the problem based on an overall budget versus actual comparison.  The moral of the story is to always look into the details for improvement opportunities.
AN ILLUSTRATION OF DIRECT MATERIAL VARIANCE CALCULATIONS:  Blue Rail Manufacturing produces high quality handrails, gates, banisters, corral systems, and similar welded steel products.  The primary raw material is 40 foot long pieces of heavy gauge steel pipe.  This pipe is custom cut and welded into rails like that shown in the accompanying picture.  In addition, the final stages of production require some grinding and sanding operations, along with a final spray coating of paint (welding rods, grinding disks, and paint are relatively inexpensive and are classified as indirect material components within factory overhead).
Blue Rail measures their output in "sections."  Each section consists of one post and four rails.  The sections are 10' in length and the posts average 4' each.  Some overage and waste is expected due to the need for an extra post at the end of a set of sections, taller than normal posts, faulty welds, bad pipe cuts, and defective pipe.  The company has adopted an achievable standard of 1.25 pieces of raw pipe (50') per section of rail.
During August, Blue Rail produced 3,400 sections of railing.  It was anticipated that pipe would cost $80 per 40' piece.  Standard material cost for this level of output is computed as follows:

The production manager was very disappointed to receive the monthly performance report that revealed actual material cost of $369,000.  A closer examination of the actual cost of materials revealed the following:

The total direct material variance was unfavorable $29,000 ($340,000 vs. $369,000).  However, this unfavorable outcome was driven by higher prices for raw material, not waste.  It seems that steel prices escalated rapidly.  The unfavorable materials price variance is calculated as follows:

MATERIALS PRICE VARIANCE = (SP - AP) X AQ = ($80 - $90) X 4,100 = <$41,000>

Materials usage was favorable since less material was used (4,100 pieces of pipe) than was standard (4,250 pieces of pipe).  This resulted in a favorable materials quantity variance:

MATERIALS QUANTITY VARIANCE = (SQ - AQ) X SP = (4,250 - 4,100) X $80 =$12,000

These two variances net (<$41,000> + $12,000) to produce the total $29,000 unfavorable outcome:

JOURNAL ENTRIES FOR DIRECT MATERIAL VARIANCES:  A company may desire to adapt their general ledger accounting system to capture and report variances.  Let's see how this might occur for Blue Rail.  First, do not ever lose sight of the very simple fact that the amount of money to account for is still the money that was actually spent ($369,000).  To the extent the price paid for materials differs from standard, the variance is debited (unfavorable) or credited (favorable) to a Materials Price Variance account.  This results in the Raw Materials Inventory account carrying only the standard price of materials, no matter the price paid:

8-31-XX	Raw Materials Inventory		328,000
	Materials Price Variance		41,000
	Accounts Payable			369,000
	To record purchase of raw materials at standard price and related unfavorable variance

Work in Process is debited for the standard cost of the standard quantity that should be used for the productive output achieved, no matter how much is actually used.  Any difference between standard and actual raw material usage is debited (unfavorable) or credited (favorable) to the Materials Quantity Variance account:

8-31-XX	Work in Process Inventory		340,000
	Raw Materials Inventory			328,000
	Materials Quantity Variance			12,000
	To transfer raw materials to production at standard usage rates and related favorable quantity variance

The Materials Price Variances and Materials Quantity Variances are generally reported by decreasing income (if unfavorable debits) or increasing income (if favorable credits), although other outcomes are possible (alternative dispositions are discussed in more advanced managerial accounting courses). 
Examine the following diagram to be sure you understand how these entries play out in the ledger -- the first entry is in green and the second is in blue.  As you examine this diagram, notice that the $369,000 of cost is ultimately attributed to work in process inventory ($340,000 debit at standard cost/quantity), materials price variance ($41,000 debit), and materials quantity variance ($12,000 credit):

WHEN PURCHASES DIFFER FROM USAGE:  The discussion and illustration for direct material variances presumed that all of the raw material purchases were put into production.  If this were not a valid assumption, then the preceding illustration would need to be modified to reflect price variances based on the amount purchased and quantity variances based on output.  Be aware that the ripple effect of this modification would potentially upset the relationships between the "red, green, and blue balls" used in this chapter to illustrate the basic principles of variance calculations.  Further discussion of this topic issue is deferred to more advanced managerial accounting courses.
VARIANCES RELATING TO DIRECT LABOR:  The intrinsic logic for direct labor variances is very similar to that of direct material.  The total variance for direct labor is found by comparing actual direct labor cost to standard direct labor cost.  The overall labor variance could result from any combination of having paid laborers at rates equal to, above, or below standard rates, and using more or less direct labor hours than anticipated.  In this illustration, AH is the actual hours worked, AR is the actual labor rate per hour, SR is the standard labor rate per hour, and SH is the standard hours for the output achieved.
The Total Direct Labor Variance can be separated into the:

• Labor Rate Variance:  A variance that reveals the difference between the standard rate and actual rate for the actual labor hours worked [(standard rate - actual rate) X actual hours]. 
• Labor Efficiency Variance:  A variance that compares the standard hours of direct labor that should have been used to the actual hours worked.  The efficiency variance is measured at the standard rate per hour [(standard hours - actual hours) X standard rate].

If you carefully study the illustration, you will see there are several ways to perform the intrinsic labor variance calculations.  You can very simply compute the values for the red, blue, and green balls; noting the differences.  Or, you can perform the noted algebraic calculations for the rate and efficiency variances; adding them together gives you the total variance.  In performing the math operations, be very careful to note that unfavorable variances (negative numbers) offset favorable (positive numbers) variances.
AN ILLUSTRATION OF DIRECT LABOR VARIANCE CALCULATIONS:  Let's continue with our illustration for Blue Rail Manufacturing.  Recall that each section of railing requires that individual pieces of pipe be custom cut, welded, sanded, and painted.  Welding is a slow and labor intensive process, and the company has adopted a standard of 3 labor hours for each section of rail.  Skilled labor is anticipated to cost $18 per hour.  During August, remember that Blue Rail produced 3,400 sections of railing.  Therefore, the standard labor cost for August is calculated as:

The monthly performance report revealed actual labor cost of $175,000.  A closer examination of the actual cost of labor revealed the following:

The total direct labor variance was favorable $8,600 ($183,600 vs. $175,000).  This variance was driven by favorable wage rates:

LABOR RATE VARIANCE = (SR - AR) X AH = ($18 - $14) X 12,500 = $50,000

The hourly wage rate was lower because of a shortage of highly skilled welders.  The less experienced welders were paid less per hour but they also worked slower.  This inefficiency shows up in the unfavorable labor efficiency variance:

LABOR EFFICIENCY VARIANCE = (SH - AH) X SR = (10,200 - 12,500) X $18 =<$41,400>

These two variances net ($50,000 + <$41,400>) to produce the total $8,600 favorable outcome:

JOURNAL ENTRY FOR DIRECT LABOR VARIANCES:  If Blue Rail desires to capture labor variances in their general ledger accounting system, the entry might look something like this:

8-31-XX	Work in Process Inventory		183,600
	Labor Efficiency Variance		41,400
	Labor Rate Variance			50,000
	Wages Payable			175,000
	To increase work in process for the standard direct labor costs, and record the related efficiency and rate variances

Once again, debits reflect unfavorable variances, and vice versa.  Such variance amounts are generally reported as decreases (unfavorable) or increases (favorable) in income, with the standard cost going to the Work in Process Inventory account.  The following diagram shows the impact within the general ledger accounts.

FACTORY OVERHEAD VARIANCES:   Remember that manufacturing costs consist of direct material, direct labor, and factory overhead.  You have just seen how variances are computed for direct material and direct labor.  Similar variance analysis should be performed to evaluate spending and utilization for factory overhead.  But, overhead variances are a bit more challenging to calculate and evaluate.  As a result the techniques for factory overhead evaluation vary considerably from company to company (and textbook to textbook).  If you progress to advanced managerial accounting courses, you will likely learn about a variety of alternative techniques.  For now, let's focus on one comprehensive approach.
VARIABLE VERSUS FIXED OVERHEAD:  To begin, recall that overhead has both variable and fixed components (unlike direct labor and direct material that are exclusively variable in nature).  The variable components may consist of items like indirect material, indirect labor, and factory supplies.  Fixed factory overhead might include rent, depreciation, insurance, maintenance, and so forth.  Because variable and fixed costs behave in a completely different fashion, it stands to reason that proper evaluation of variances between expected and actual overhead costs must take into account the intrinsic cost behavior.  As a result, variance analysis for overhead is split between variances related to variable overhead and variances related to fixed overhead.
VARIANCES RELATING TO VARIABLE FACTORY OVERHEAD:  The cost behavior for variable factory overhead is not unlike direct material and direct labor, and the variance analysis is quite similar.  The goal will be to account for the total "actual" variable overhead by applying: (1) the "standard" amount to work in process, and (2) the "difference" to appropriate variance accounts.  This accounting objective is no different than observed for direct material and direct labor!
On the left-hand side of the following graphic, notice that more is spent on actual variable factory overhead than is applied based on standard rates.  This scenario produces unfavorable variances (also known as "underapplied overhead" since not all that is spent is applied to production).  The right-hand side is the opposite scenario (favorable/overapplied overhead).  Beneath the graphics are T-accounts intending to illustrate the cost flow.  As monies are spent on overhead (wages, utilization of indirect materials, etc.), the cost (xxx) is transferred to the Factory Overhead account.  As production occurs, overhead is applied/transferred to Work in Process (yyy).  When more is spent than applied (as on the left scale), the balance (zz) is transferred to variance accounts representing the unfavorable outcome.  When less is spent than applied (as on the right scale), the balance (zz) represents the favorable overall variances.

EXPLORING VARIABLE OVERHEAD VARIANCES:  A good manager will want to explore the nature of variances relating to variable overhead.  It is not sufficient to simply conclude that more or less was spent than intended.  As with direct material and direct labor, it is possible that the prices paid for underlying components deviated from expectations (a variable overhead spending variance).  On the other hand, it is possible that the company's productive efficiency drove the variances (a variable overhead efficiency variance).  Thus, the Total Variable Overhead Variance can be divided into a Variable Overhead Spending Variance and a Variable Overhead Efficiency Variance.
Before looking closer at these variances, it is first necessary to recall that overhead is usually applied based on a predetermined rate, such as $X per direct labor hour (you may find it helpful to review this concept from Chapter 19).  This means that the amount debited to work in process is driven by the overhead application approach.  This will become clearer with the following illustration.
AN ILLUSTRATION OF VARIABLE OVERHEAD VARIANCES:  Let's return to the illustration for Blue Rail.  Variable factory overhead for August consisted primarily of indirect materials (welding rods, grinding disks, paint, etc.), indirect labor (inspector time, shop foreman, etc.), and other items.  Extensive budgeting and analysis had been performed, and it was estimated that variable factory overhead should be applied at $10 per direct labor hour.  During August, $105,000 was actually spent on variable factory overhead items.  The standard cost for August's production was as follows:

The total variable overhead variance is unfavorable $3,000 ($102,000 - $105,000).  This may lead to the conclusion that performance is about on track.  But, a closer look reveals that overhead spending was quite favorable, while overhead efficiency was not so good.  Remember that 12,500 hours were actually worked.  Since variable overhead is consumed at the presumed rate of $10 per hour, this means that $125,000 of variable overhead (actual hours X standard rate) was attributable to the output achieved.  Comparing this figure ($125,000) to the standard cost ($102,000) reveals an unfavorable variable overhead efficiency variance of $23,000.  However, this inefficiency was significantly offset by the $20,000 favorable variable overhead spending variance ($105,000 vs. $125,000).  The following diagram may prove useful in helping you sort out the variable overhead variances:

JOURNAL ENTRY FOR VARIABLE OVERHEAD VARIANCES:  The following journal entry can be used to apply variable factory overhead to production and record the related variances:

8-31-XX	Work in Process Inventory		102,000
	Variable Overhead Efficiency Variance		23,000
	Variable OH Spending Variance			20,000
	Factory Overhead			105,000
	To increase work in process for the standard variable overhead, and record the related efficiency and spending variances

CAREFUL INTERPRETATION OF VARIABLE OVERHEAD VARIANCES:  Material and labor variances are more easily interpreted than variable overhead variances.  The variable overhead efficiency variance can be somewhat confusing because it may reflect efficiencies or inefficiencies experienced with the base used to apply overhead, rather than overhead itself.  For Blue Rail, remember that the total number of hours was "run up" beyond plan because of inexperienced labor.  A good manager will want to keenly evaluate the cause and meaning of variable overhead variances.  In fact, the variances are likely only the point of beginning for a proper evaluation.  Remember that variable overhead is made up of many components.  For Blue Rail, it is conceivable that the inexperienced welders used more welding rods, and the welds were likely sloppier requiring more grinding to smooth out the joints.  Further, it is likely that inspectors had to spend more time checking work to make sure that the welds were strong.  While the overall variance calculations would provide signals about these issues, a manager would actually need to drill down into each individual cost component (perhaps calculating variances for each budgeted line item rather than just on an overall basis) to truly find areas for business improvement.
How important is control of overhead?  A study of self-made 50-year old millionaires revealed very little correlation between wealth and income, and a strong correlation between wealth and life-long savings patterns.  Although the study is related to individuals, the message rings equally true for business.  Careful control of spending is essential to long-term value building.  Businesses vary considerably in their attitudes and discipline as it relates to control of overhead.  Some businesses are rather cavalier about controlling things like light/electricity usage, control over low cost parts, efficiency in shipping methods, etc.  Others are rather fanatical about maintaining absolute and stringent controls.  For instance, one controller of a manufacturing plant was frustrated with the number of screws that were dropped and left to be swept away at the end of each business day.  These were seemingly insignificant to the employees.  In frustration, the controller scattered a box of nickels onto the factory floor -- by the end of the day none remained for the janitorial staff to sweep away.  A subsequent memo was issued reminding everyone that screws cost 5¢ each.  The rather obvious point was to draw a comparison between the nickels that everyone was eager to recover and the screws for which there was little concern.  To build a successful business, a good manager will keep a keen eye on all overhead items, and control them with vigor.  The variable overhead variances are macro indicators of success in accomplishing this goal.
VARIANCES RELATING TO FIXED FACTORY OVERHEAD:  Frequently (but not always), actual fixed factory overhead will show little variation from budget.  This results because of the intrinsic nature of a fixed cost.  For instance, rent is usually subject to a lease agreement that is relatively certain.  Depreciation on factory equipment can be calculated in advance.  The costs of insurance policies are negotiated and tied to a contract.  Even though budget and actual numbers may differ little in the aggregate, the underlying fixed overhead variances are nevertheless worthy of close inspection.
AN ILLUSTRATION OF FIXED OVERHEAD VARIANCES:  Let's take one final look at Blue Rail.  Assume that the company budgeted total fixed overhead at $72,000; only $70,000 was actually spent (seemingly a good outcome).  Here our accounting objective will be to allocate the $70,000 actually spent between work in process and variance accounts.  The temptation would be to book $72,000 into work in process and reflect a $2,000 offsetting favorable variance -- but that would be the wrong approach!
Instead, the Work in Process account should reflect the standard fixed overhead cost for the output actually produced.  We get to this calculated value by reconsidering the company's original assumptions about production.  Assume that Blue Rail had planned on producing 4,000 rail systems during the month; remember that only 3,400 systems were actually produced -- output was disappointing, perhaps due to the inexperienced labor pool.  This means that the planned fixed overhead was $18 per rail ($72,000/4,000 = $18).  Because three labor hours are needed per rail, the fixed overhead allocation rate is $6 per direct labor hour ($18/3). Use this new information to consider the following illustration for fixed factory overhead (remember from the earlier discussion that the standard labor hours for the actual output were 10,200):

By reviewing this familiar looking illustration, you can see that $61,200 should be allocated to work in process.  This reflects the standard cost allocation of fixed overhead that would be attributable to the production of 3,400 units (i.e., 10,200 hours should be used to produce 3,400 units).  Notice that this differs from the budgeted amount of fixed overhead by $10,800, representing an unfavorable Fixed Overhead Volume Variance.  In other words, since production did not rise to the anticipated level of 4,000 units, much of the fixed cost (that was in place to support 4,000 units of output) was "wasted" or "under-utilized."  Thus, the measured volume variance is highly unfavorable.  If more units had been produced than originally anticipated, the fixed overhead volume variance would be favorable (this would reflect total budgeted fixed overhead being spread over more units than originally anticipated).  For Blue Rail, the volume variance is offset by the more easily understood favorable Fixed Overhead Spending Variance of $2,000; $70,000 was spent versus the budgeted $72,000.  Together, the two variances combine to reveal a net $8,800 unfavorable Total Fixed Overhead Variance.
JOURNAL ENTRY FOR FIXED OVERHEAD VARIANCES:  The diagram at right illustrates the flow of fixed costs into the Factory Overhead account, and on to Work in Process and the related variances.  Below is a compound journal entry to apply fixed factory overhead to production and record the related variances:

8-31-XX	Work in Process Inventory		61,200
	Fixed Overhead Volume Variance		10,800
	Fixed OH Spending Variance			2,000
	Factory Overhead			70,000
	To increase work in process for the standard fixed overhead, and record the related volume and spending variances

RECAPPING STANDARDS AND VARIANCES:  The foregoing provided a painstakingly detailed account of the variances for Blue Rail.  Before moving on, it is best to put the entire subject in perspective.  The goal is to compare standard costs to actual costs.  Blue Rail's work in process is recorded at the standard costs found in the Blue circles (hint -- the work in process inventory of blue rails is recorded at the amounts found in blue circles), while actual costs are found in the red circles.  These amounts are recapped in the table below:

You will notice that the standard cost of $686,800 corresponds to the amounts assigned to work in process inventory via the various journal entries, while the total variances of $32,200 were charged/credited to specific variance accounts.  By so doing, the full $719,000 actually spent is fully accounted for in the records of the Blue Rail.
EXAMINING VARIANCES:  Not all variances need to be analyzed.  One must consider the circumstances under which the variances resulted and the materiality of amounts involved.  One should also understand that not all unfavorable variances are bad.  For example, buying raw materials of superior quality (at higher than anticipated prices) may be offset by reduction in waste and spoilage.  Likewise, favorable variances are not always good.  Blue Rail's very favorable labor rate variance resulted from using inexperienced, less expensive labor.  Was this the reason for the unfavorable outcomes in efficiency and volume?  Perhaps!  The challenge for a good manager is to take the variance information, examine the root causes, and take necessary corrective measures to fine tune business operations.
In closing this discussion of standards and variances, be mindful that care should be taken in examining variances.  If the original standards are not accurate and fair, the resulting variance signals will themselves can prove quite misleading.
BALANCED SCORECARD APPROACH TO PERFORMANCE EVALUATION
ALTERNATIVE PERFORMANCE EVALUATION TECHNIQUES:  Thus far, this chapter has focused on budgets, standards, and variances to assess entity performance.  However, other non-financial metrics should also be employed in performance evaluation.  This is sometimes referred to as maintaining a balanced scorecard, meaning that performance assessment should take a holistic approach.  Long-term business success will not be achieved if the focus is only on near-term financial outcomes.  At the same time, financial goals are not abandoned; the goal is to achieve balance.
With the balanced scorecard approach, an array of performance measurements are developed.  Each indicator should be congruent with the overall entity objectives.  Further, each measure should be easily determined and understood.  These measurements can relate to financial outcomes, customer outcomes, or business process outcomes.  Although a balanced scorecard approach may include target thresholds that should be met, the primary mantra is on improvement.  This means that all participants are continually striving to beat pre-existing scores for each measure.
Early in this chapter, you saw how responsibility accounting concepts caused performance reports to be prepared for different steps in the corporate ladder.  This notion is equally applicable to the balanced scorecard approach.  The overall corporate entity may have macro targets and measures.  Similarly, sub-units will have their own unique goals.  A scorecard approach can even be pushed down to the individual employee level.  For instance, a retail store may require that tellers complete a certain number of transactions per hour.  This "quota" in essence would represent a nonfinancial metric that can be scored for each employee.
THE BALANCED SCORECARD IN OPERATION:  You saw for Blue Rail Manufacturing a number of examples of financial goals that could be included in a balanced scorecard assessment.  Examples include the standard cost for material, the standard labor hours per rail set, the expected production level, and so forth.  But, what would be some examples of customer outcomes and business process outcomes?

• Potential Customer Outcomes:
  • Results of a customer satisfaction survey
  • Product returns/warranty work rates
  • The frequency that customers reorder (or do not reorder)
  • Estimated market share
  • New customers that are based on referrals of existing customers
  • Frequency that customer bids lead to customer orders
  • Customer complaint/compliment rates
  • Price in comparison to competitors
•    Potential Business Process Outcomes
  • Defect free units as a proportion of total production
  • Frequency/size of product liability claims
  • Time from order receipt to shipment
  • Size of customer order backlogs
  • Lost production days due to out-of-stock raw materials or equipment failure
  • Employee turnover rate
  • Employee morale survey results
  • Employee accident rates/claims for workers' compensation
  • Average experience level of employees

In reviewing this list of potential items for inclusion in a balanced scorecard performance appraisal, you have probably thought of some additional items for inclusion.  The choice is up to management.  The idea is to find those items that drive business success in a way that is consistent with the corporate philosophy.  Perhaps Blue Rail has a goal of 100% customer satisfaction with respect to quality, but knows that its price will be 20% higher than competitors.  Or, Blue Rail may have a goal of being the lowest cost provider and will tolerate some degree of customer discord.
The metrics are intended to measure progress toward fulfillment of the corporate objectives, and the managerial accountant is apt to be heavily involved in gathering the necessary data for inclusion in the balanced scorecard performance reports.  These reports are often graphical in nature to facilitate easy use and interpretation, with particular emphasis on timely identification of trends.  Sometimes, the metrics are prominently posted in the work place; perhaps you have seen a sign at a construction site noting the number of consecutive accident free work days.  By prominent display of such data, employees are constantly reminded of, and vigilant to meet, key performance goals.