Standard Costing and Variance Analysis

In the previous chapter, "Marginal Costing and Break-Even Analysis," we learned how to split costs into fixed and variable components to make crucial business decisions—like whether to accept a special order or drop a product line. But once those decisions are made and the factory machines start running, a new problem arises: how do you know if your costs are actually under control?

If you run a furniture factory and it costs you ₹1,500 to make a wooden chair this month, is that good or bad? You cannot answer that question unless you know what the chair should have cost.

This is where Standard Costing comes in. It is the ultimate tool for cost control. Instead of just recording what happened (historical costing), standard costing sets a strict target for what should happen, and then ruthlessly compares the actual results against that target.

In this chapter, we will learn how companies set these targets, how they calculate the differences (variances) when reality doesn't match the plan, and how to use those differences to fix problems on the factory floor.

What is Standard Costing?

Standard costing is a control technique. It involves setting predetermined costs for products or services, recording the actual costs incurred, comparing the two to find the difference, and analyzing that difference to understand why it happened.

Think of a standard cost as a budget for a single unit. If a budget says "we will spend ₹1,00,000 on wood this year," a standard cost says "we will spend exactly ₹500 on wood for this specific chair."

Standard Cost vs. Estimated Cost

A common trap is confusing a standard cost with an estimated cost. They are not the same thing.

• Estimated Cost: This is a guess of what a cost will be in the future, based on historical data. It is used for quoting prices to customers. It simply predicts the future.
• Standard Cost: This is a scientifically calculated target of what a cost should be. It is used for performance evaluation. It dictates what the future ought to be.

How Are Standard Costs Set?

You cannot just pull a standard cost out of thin air. If the target is too easy, workers will slack off. If the target is impossibly hard, workers will get demoralized and ignore it. Setting standard costs requires teamwork between the cost accountant, the production manager, the purchasing manager, and the human resources team.

Here is how standards are set for the three elements of cost:

1. Setting Material Standards

To set the standard cost for direct materials, you need two numbers:

• Standard Quantity: How much raw material should it take to make one unit? The engineering team figures this out. If you are making a 1-liter bottle of mango juice, the standard quantity might be 1.2 liters of raw mango pulp (allowing for normal spillage and evaporation).
• Standard Price: What should we pay for one unit of that raw material? The purchasing department figures this out by looking at supplier contracts, expected inflation, and bulk discount rates.

2. Setting Labour Standards

To set the standard cost for direct labour, you also need two numbers:

• Standard Time (Hours): How long should it take a worker to make one unit? This is often determined using "Time and Motion studies"—literally standing with a stopwatch and timing how long an average, trained worker takes to perform the task, adding a little buffer for rest and bathroom breaks.
• Standard Rate: What should we pay the worker per hour? The HR department determines this based on wage agreements, minimum wage laws, and the skill level required.

3. Setting Overhead Standards

Overheads (both fixed and variable) are tied to a standard rate, usually based on labour hours or machine hours. For example, if the factory expects to spend ₹50,000 on electricity (variable overhead) to run machines for 10,000 hours, the standard variable overhead rate is ₹5 per machine hour.

The Concept of Variance Analysis

Once the standards are set and production begins, reality hits. The actual costs will almost never perfectly match the standard costs. The difference between the two is called a Variance.

Variance Analysis is the process of breaking down this total difference into smaller, specific pieces to find out exactly who or what caused the deviation.

Variances are classified into two simple categories based on their impact on the company's profit:

• Favorable Variance (F): When the Actual Cost is less than the Standard Cost. This is good news. It means you saved money and your profit will be higher than expected.
• Adverse Variance (A): When the Actual Cost is more than the Standard Cost. This is bad news. It means you overspent and your profit will be lower than expected. (Sometimes called an Unfavorable variance).

Management by Exception

Why do we calculate variances? Because of a management principle called Management by Exception.

A CEO or factory manager does not have the time to look at the cost of every single screw, plank of wood, or hour of labour. Variance analysis acts as an alarm system. If the costs match the standards, management does nothing—everything is going according to plan. Management only steps in to investigate the exceptions—the areas where large adverse or favorable variances have occurred.

Deep Dive: Material Cost Variances

Material variances are the most frequently tested area in cost accounting exams. You need to understand not just the formulas, but the logic behind them.

The total difference in material costs is called the Material Cost Variance (MCV). But knowing you overspent on materials isn't enough. Did you overspend because the purchasing manager bought expensive wood? Or did you overspend because the carpenters were clumsy and wasted too much wood?

To answer this, we split the Material Cost Variance into two sub-variances: the Material Price Variance and the Material Usage Variance.

1. Material Cost Variance (MCV)

This is the grand total difference between what the materials should have cost for the actual output, and what they actually cost.

Formula: MCV = Standard Cost of Actual Output - Actual Cost MCV = (Standard Quantity × Standard Price) - (Actual Quantity × Actual Price) Or simply: MCV = (SQ × SP) - (AQ × AP)

2. Material Price Variance (MPV)

This variance isolates the impact of price changes. It answers the question: "Did we pay more or less per kg of material than we planned?" The Purchasing Manager is usually held responsible for this variance.

Formula: MPV = (Standard Price - Actual Price) × Actual Quantity Or simply: MPV = (SP - AP) × AQ

Why do we multiply by Actual Quantity (AQ)? Because the price difference (SP - AP) applies to every single kilogram of material you actually bought and used. If you paid ₹2 extra per kg, you paid that ₹2 penalty on the actual amount of material you purchased.

Causes of an Adverse MPV:

• Inflation or sudden market shortages driving up raw material prices.
• The purchasing manager failed to negotiate a good discount.
• Buying in smaller quantities, thereby losing bulk discounts.
• Switching to a higher-quality, more expensive material.

3. Material Usage Variance (MUV)

This variance isolates the impact of quantity. It answers the question: "Did we use more or less raw material than we were supposed to?" The Production Manager or Factory Supervisor is usually held responsible for this variance.

Formula: MUV = (Standard Quantity - Actual Quantity) × Standard Price Or simply: MUV = (SQ - AQ) × SP

Why do we multiply by Standard Price (SP)? This is a brilliant piece of accounting logic. We want to measure the production manager's efficiency (how much material they wasted). If we multiplied by the actual price, the production manager's performance score would be messed up by inflation—something they cannot control. By multiplying by the standard price, we isolate the pure cost of the wasted quantity, holding the production manager accountable only for what they control.

Causes of an Adverse MUV:

• Careless workers wasting material or making mistakes.
• Poor quality raw materials that break easily and have to be thrown away.
• Faulty factory machines ruining the materials.
• Strict quality control rejecting finished goods, requiring them to be remade.

Deep Dive: Labour Cost Variances

Labour variances follow the exact same logic as material variances. Instead of "Quantity" of materials, we talk about "Hours" of labour. Instead of "Price" of materials, we talk about the wage "Rate" per hour.

The total difference in labour costs is the Labour Cost Variance (LCV). We split this into the Labour Rate Variance (did we pay the workers more per hour?) and the Labour Efficiency Variance (did the workers take too long?).

1. Labour Cost Variance (LCV)

The total difference between what labour should have cost for the actual output, and what it actually cost.

Formula: LCV = Standard Labour Cost - Actual Labour Cost LCV = (Standard Hours × Standard Rate) - (Actual Hours × Actual Rate) Or simply: LCV = (SH × SR) - (AH × AR)

(Note: Just like materials, "Standard Hours" means the standard hours allowed for the ACTUAL output achieved).

2. Labour Rate Variance (LRV)

This measures the difference in the wage rate paid. The HR department or Production Manager is usually responsible.

Formula: LRV = (Standard Rate - Actual Rate) × Actual Hours Or simply: LRV = (SR - AR) × AH

Causes of an Adverse LRV:

• A sudden increase in minimum wage laws or union agreements.
• Using highly skilled (and highly paid) workers to do a job meant for unskilled (cheaper) workers.
• Paying unexpected overtime rates to rush a delayed order.

3. Labour Efficiency Variance (LEV)

This measures the productivity of the workers. Did they finish the job faster or slower than the standard time? The Production Manager is responsible for this.

Formula: LEV = (Standard Hours - Actual Hours) × Standard Rate Or simply: LEV = (SH - AH) × SR

Causes of an Adverse LEV:

• Untrained or unmotivated workers taking too long to do the job.
• Poor working conditions (e.g., bad lighting, extreme heat) slowing workers down.
• Frequent machine breakdowns forcing workers to wait around.
• Using poor quality materials that are difficult to work with.

4. Idle Time Variance (Advanced Concept)

Sometimes, workers are paid for 8 hours, but they only work for 7 hours because the power went out for an hour. That 1 hour is "Idle Time." If idle time exists, the Labour Efficiency Variance is further split. The cost of the idle time is separated into an Idle Time Variance. Formula: Idle Hours × Standard Rate. Because idle time produces zero output, an Idle Time Variance is always Adverse (A).

A Note on Overhead Variances

While material and labour variances are the heavyweights of objective exams, you should know that overhead variances exist too.

Overhead variances compare the standard overhead absorbed by production against the actual overhead incurred.

• Variable Overhead Variances are split into Expenditure (spending too much on things like electricity) and Efficiency (taking too many hours, thereby running the machines and using electricity for longer than planned).
• Fixed Overhead Variances are more complex. Because fixed costs (like factory rent) don't change with output, the variance usually comes down to a Volume Variance (did we produce more or fewer units than we budgeted, thereby spreading the rent over more or fewer units?) and an Expenditure Variance (did the landlord suddenly increase the rent?).

Worked Example: Calculating Variances Step-by-Step

Let’s put all these formulas into practice with a realistic exam-style problem. Read this carefully, as it shows exactly how to handle the "Standard Quantity for Actual Output" trap.

The Scenario: Kashmir Woodworks manufactures premium wooden desks. The company has set the following standard costs for producing one desk:

• Direct Material: 5 kg of wood @ ₹100 per kg
• Direct Labour: 4 hours @ ₹50 per hour

During the month of March, the company actually produced 1,000 desks. The actual costs incurred were:

• Direct Material purchased and used: 5,200 kg of wood for a total cost of ₹5,46,000.
• Direct Labour worked: 3,800 hours for a total cost of ₹1,97,600.

Task: Calculate the Material and Labour Variances.

Step 1: Extract and organize the data

Before touching a formula, write down your four key variables for Material and four for Labour.

For Materials:

• SQ (Standard Quantity for actual output): 1,000 desks × 5 kg per desk = 5,000 kg. (This is the crucial step!)
• SP (Standard Price): ₹100 per kg.
• AQ (Actual Quantity): 5,200 kg.
• AP (Actual Price): Total cost ₹5,46,000 ÷ 5,200 kg = ₹105 per kg.

For Labour:

• SH (Standard Hours for actual output): 1,000 desks × 4 hours per desk = 4,000 hours.
• SR (Standard Rate): ₹50 per hour.
• AH (Actual Hours): 3,800 hours.
• AR (Actual Rate): Total cost ₹1,97,600 ÷ 3,800 hours = ₹52 per hour.

Step 2: Calculate Material Variances

1. Material Cost Variance (MCV) = (SQ × SP) - (AQ × AP) = (5,000 × 100) - (5,200 × 105) = 5,00,000 - 5,46,000 = -46,000 Since the actual cost is higher, this is ₹46,000 Adverse (A).

2. Material Price Variance (MPV) = (SP - AP) × AQ = (100 - 105) × 5,200 = -5 × 5,200 = -26,000 We paid ₹5 extra per kg. So, ₹26,000 Adverse (A).

3. Material Usage Variance (MUV) = (SQ - AQ) × SP = (5,000 - 5,200) × 100 = -200 × 100 = -20,000 We wasted 200 kg of wood. So, ₹20,000 Adverse (A).

Verification: MPV (26,000 A) + MUV (20,000 A) = MCV (46,000 A). The math is perfect.

Step 3: Calculate Labour Variances

1. Labour Cost Variance (LCV) = (SH × SR) - (AH × AR) = (4,000 × 50) - (3,800 × 52) = 2,00,000 - 1,97,600 = +2,400 Since the actual cost is lower than standard, this is ₹2,400 Favorable (F).

2. Labour Rate Variance (LRV) = (SR - AR) × AH = (50 - 52) × 3,800 = -2 × 3,800 = -7,600 We paid workers ₹2 extra per hour. So, ₹7,600 Adverse (A).

3. Labour Efficiency Variance (LEV) = (SH - AH) × SR = (4,000 - 3,800) × 50 = +200 × 50 = +10,000 The workers finished 200 hours faster than expected! So, ₹10,000 Favorable (F).

Verification: LRV (7,600 A) + LEV (10,000 F) = LCV (2,400 F). The math is perfect.

Conclusion for Management: The factory manager should investigate the purchasing department (why did wood prices go up? why did wages go up?) and the production floor (why was so much wood wasted?). However, the workers should be praised for their speed, as their high efficiency saved the company money on labour overall.

Quick Revision

• Standard Cost: A predetermined, target cost of what a product should cost under normal conditions.
• Estimated Cost vs. Standard Cost: Estimates predict the future (for pricing); standards dictate the future (for control).
• Variance: The difference between Standard Cost and Actual Cost.
• Favorable (F): Actual Cost < Standard Cost (Good for profit).
• Adverse (A): Actual Cost > Standard Cost (Bad for profit).
• Management by Exception: Management only investigates significant variances, ignoring areas where actuals match standards.
• The Golden Rule of SQ/SH: Standard Quantity (or Hours) must ALWAYS be calculated for the Actual Output achieved, never the budgeted output.
• Material Cost Variance (MCV): (SQ × SP) - (AQ × AP). It equals MPV + MUV.
• Material Price Variance (MPV): (SP - AP) × AQ. Responsibility usually lies with the Purchasing Manager.
• Material Usage Variance (MUV): (SQ - AQ) × SP. Responsibility usually lies with the Production Manager.
• Labour Cost Variance (LCV): (SH × SR) - (AH × AR). It equals LRV + LEV.
• Idle Time Variance: Always Adverse, because idle time costs money but produces zero output.