ACC313 Accounting For Decision Making

Accounting For Decision MakingUnit 515 min read

Budgeting & Standard Costing: Planning, Control & Variance Analysis

Unit 5 of Accounting For Decision Making teaches how to prepare master budgets (sales, production, cash), analyze flexible budgets, set standard costs, compute variances (material, labor, overhead), and use them for performance evaluation—with real-world Nepali business examples and exam-focused techniques.

Core Concepts

1. Budgeting: The Financial Blueprint

Definition: A budget is a quantitative plan for acquiring and using financial and other resources over a specified period (usually 1 year). It coordinates all departments and ensures resources are allocated efficiently to achieve organizational goals.

Sales Revenue Account (Kathmandu Rice Shop)Dr.Cr.To Cash A/c6,00,000To Credit Sales A/c1,20,000By Sales Revenue (5,000 kg × Rs 120)7,20,000
Journal entry for budgeted sales of 5,000 kg rice at Rs 120/kg (corrected: Rs 720,000 total)

Types of Budgets:

mindmap
  root((Budget Types))
    Sales Budget
    Production Budget
    Direct Materials Budget
    Direct Labor Budget
    Manufacturing Overhead Budget
    Selling & Administrative Budget
    Cash Budget
    Master Budget

Why Budget?

  • Planning: Sets targets for revenue, costs, and investments.
  • Control: Monitors performance against targets (variance analysis).
  • Communication: Aligns all departments (production, sales, finance).
  • Decision-Making: Helps in capital allocation (e.g., expanding a Kathmandu shop).

2. The Budgeting Process: Step-by-Step

0187.5375562.5750Sales Budget600Production Budget550Direct Materials450Direct Labor200Overhead150Cash Budget750Budgeted Amount (Rs '000)
Monthly budget breakdown for Kathmandu Rice Shop (corrected: Rs in thousands)

Key Steps Explained:

  1. Sales Budget: Based on market demand, past trends, and promotions. Example: A Kathmandu retail shop expects sales of 5,000 kg of rice in a month at Rs 120/kg.
  2. Production Budget: Units to produce = Expected sales + Desired ending inventory – Beginning inventory.
  3. Direct Materials Budget: Quantities and costs of raw materials needed.
  4. Direct Labor Budget: Hours and wages required for production.
  5. Manufacturing Overhead Budget: Indirect costs (rent, depreciation, utilities).
  6. Cash Budget: Ensures liquidity (critical for small businesses like local kirana shops).
  7. Master Budget: Combines all budgets into projected financial statements.

3. Flexible Budgets: Adjusting for Reality

Problem: Fixed budgets assume one activity level (e.g., 100% capacity). But actual production may vary (e.g., 80% or 120%). Solution: Flexible budgets adjust costs based on actual output.

Example: Himalayan Tea Factory

Item Fixed Cost (Rs) Variable Cost per Unit (Rs)
Rent 50,000 –
Electricity – 2
Labor – 10
Raw Materials – 15

Scenario:

  • Budgeted output: 10,000 kg (100% capacity).
  • Actual output: 8,000 kg (80% capacity).

Flexible Budget Calculation:

| **Item**       | **Budgeted (10,000 kg)** | **Actual (8,000 kg)** |
|----------------|--------------------------|-----------------------|
| Rent           | 50,000                   | 50,000                |
| Electricity    | 20,000 (10,000 × 2)     | 16,000 (8,000 × 2)   |
| Labor          | 100,000 (10,000 × 10)   | 80,000 (8,000 × 10)   |
| Materials      | 150,000 (10,000 × 15)   | 120,000 (8,000 × 15)  |
| **Total Cost** | **320,000**             | **266,000**           |

Why Flexible Budgets Matter:

  • Fairly compare actual vs. budgeted performance.
  • Helps managers adjust (e.g., reduce labor hours if demand drops).

4. Standard Costing: Setting Benchmarks

Definition: Standard costing assigns predetermined costs (standards) to products/services. It helps in:

  • Valuing inventory.
  • Controlling costs (variance analysis).
  • Motivating efficiency.
Quantity (kg of polished rice)Cost (Rs)OTotal Cost (Rs)Variable Cost (Rs)
Cost structure for Kathmandu Rice Mill (standard cost = Rs 258/kg)

Components of Standard Cost:

  1. Standard Quantity: Expected input per unit (e.g., 2 kg rice per kg of final product).
  2. Standard Price: Expected cost per input (e.g., Rs 100/kg for rice).
  3. Standard Cost per Unit: = Standard Quantity × Standard Price.

Example: Kathmandu Rice Mill

  • Product: 1 kg of polished rice.
  • Direct Material: 1.2 kg of raw rice @ Rs 90/kg.
  • Direct Labor: 0.5 hours @ Rs 200/hour.
  • Variable Overhead: Rs 50 per kg.

Standard Cost Calculation:

| **Element**          | **Standard Quantity** | **Standard Price (Rs)** | **Standard Cost (Rs)** |
|----------------------|-----------------------|-------------------------|------------------------|
| Direct Materials     | 1.2 kg                | 90                      | 108                    |
| Direct Labor         | 0.5 hours             | 200                     | 100                    |
| Variable Overhead    | –                     | 50                      | 50                     |
| **Total Standard Cost** | –                   | –                       | **258**               |

5. Variance Analysis: Spotting Deviations

Variances = Actual Cost – Standard Cost. Used to identify inefficiencies (e.g., wastage, overpayment).

Material Price Variance AccountDr.Cr.To Material Purchases A/c (Actual Cost)15,00,000By Material Price Variance (Standard Cost)12,00,000By Material Price Variance (Favorable/Unfavorable)3,00,00015,00,00015,00,000
Example variance account for material price differences
2081 Chaitra 1Standard cost set:Rs 258/kg2081 Chaitra 15Actual cost: Rs300/kg (variance +Rs 42081 Chaitra 30Corrective action:Supplier negotiation
Variance analysis timeline for Kathmandu Rice Mill (corrected: variance amount)

A. Material Variances

  1. Material Price Variance (MPV): = (Actual Price – Standard Price) × Actual Quantity Cause: Supplier charged more (e.g., Rs 100/kg instead of Rs 90/kg).

  2. Material Quantity Variance (MQV): = (Actual Quantity – Standard Quantity) × Standard Price Cause: Workers wasted rice (used 1.5 kg instead of 1.2 kg).

Example: Kathmandu Rice Mill

  • Actual Data: Bought 1,000 kg @ Rs 100/kg, used 1,500 kg.
  • Standards: 1.2 kg @ Rs 90/kg per kg of output.
| **Variance**               | **Calculation**                          | **Result (Rs)** |
|----------------------------|------------------------------------------|-----------------|
| Material Price Variance    | (100 – 90) × 1,000                       | **+10,000**     |
| Material Quantity Variance | (1,500 – 1,200) × 90                     | **+27,000**     |
| **Total Material Variance** | –                                      | **+37,000**     |

B. Labor Variances

  1. Labor Rate Variance (LRV): = (Actual Rate – Standard Rate) × Actual Hours Cause: Paid workers more (e.g., Rs 250/hour instead of Rs 200).

  2. Labor Efficiency Variance (LEV): = (Actual Hours – Standard Hours) × Standard Rate Cause: Workers took longer (e.g., 0.6 hours instead of 0.5).

Example:

  • Actual: 500 hours @ Rs 250/hour.
  • Standards: 0.5 hours @ Rs 200/hour per kg of output.
| **Variance**               | **Calculation**                          | **Result (Rs)** |
|----------------------------|------------------------------------------|-----------------|
| Labor Rate Variance        | (250 – 200) × 500                        | **+25,000**     |
| Labor Efficiency Variance  | (500 – 400) × 200                        | **+20,000**     |
| **Total Labor Variance**   | –                                      | **+45,000**     |

C. Overhead Variances

  1. Variable Overhead Spending Variance: = Actual Variable Overhead – (Standard Rate × Actual Hours)
  2. Fixed Overhead Volume Variance: = Budgeted Fixed Overhead – (Standard Rate × Standard Hours)

6. Budgetary Control: Taking Corrective Action

Steps:

  1. Identify Variance: Use variance reports (e.g., MPV = +37,000).
  2. Analyze Cause: Was it supplier price hike? Inefficient workers?
  3. Take Action:
    • Favorable Variance: Investigate why (e.g., workers more efficient).
    • Unfavorable Variance: Correct (e.g., renegotiate with supplier, train workers).
  4. Update Standards: Adjust standards if variances are recurring.

Example: Daraz Nepal’s Warehouse

  • Problem: High material quantity variance in packaging.
  • Action: Introduced automated packing machines → reduced wastage.

In the Real World

  1. eSewa (Nepal):

    • Uses cash budgets to manage liquidity for millions of daily transactions.
    • Standard costing for processing fees (e.g., Rs 25 per transaction).
  2. Khalti (Digital Wallet):

    • Flexible budgets adjust for seasonal spending (e.g., higher in Dashain/Tihar).
    • Variance analysis tracks fraudulent transaction costs.
  3. NTC (Nepal Telecom):

    • Master budgets plan infrastructure costs (e.g., 4G tower expansions).
    • Standard costing for maintenance per kilometer of fiber optic cable.
  4. Local Kathmandu Shop (Example):

    • Sales Budget: 10,000 kg rice/month @ Rs 120/kg → Rs 1.2M revenue.
    • Material Variance: Bought rice at Rs 130/kg (instead of Rs 120) → unfavorable price variance.
    • Action: Switch to a cheaper supplier or negotiate bulk discount.

Worked Example: Full Budget and Variance Analysis

Scenario: Sagarmatha Spices Ltd. produces 5,000 kg of turmeric powder monthly. Given:

  • Standard Costs:
    • Direct Material: 6 kg raw turmeric @ Rs 80/kg.
    • Direct Labor: 0.2 hours @ Rs 150/hour.
    • Variable Overhead: Rs 30/kg.
  • Actual Data (June):
    • Produced 4,000 kg.
    • Bought 25,000 kg @ Rs 85/kg, used 26,000 kg.
    • Labor: 900 hours @ Rs 160/hour.
    • Variable Overhead: Rs 130,000.

Step 1: Prepare Flexible Budget for 4,000 kg

| **Item**               | **Standard Cost (5,000 kg)** | **Flexible Budget (4,000 kg)** |
|------------------------|-------------------------------|--------------------------------|
| Direct Materials       | 300,000 (6 × 80 × 5,000)      | 240,000 (6 × 80 × 4,000)       |
| Direct Labor           | 150,000 (0.2 × 150 × 5,000)   | 120,000 (0.2 × 150 × 4,000)    |
| Variable Overhead      | 150,000 (30 × 5,000)          | 120,000 (30 × 4,000)           |
| **Total**              | **600,000**                   | **480,000**                    |

Step 2: Calculate Actual Costs

| **Item**               | **Actual Cost** |
|------------------------|-----------------|
| Direct Materials       | 2,175,000 (26,000 × 85) |
| Direct Labor           | 144,000 (900 × 160) |
| Variable Overhead      | 130,000          |
| **Total Actual Cost**  | **2,449,000**   |

Step 3: Compute Variances

| **Variance**               | **Calculation**                                                                 | **Result (Rs)** |
|----------------------------|-------------------------------------------------------------------------------|-----------------|
| Material Price Variance    | (85 – 80) × 26,000                                                             | **+130,000**    |
| Material Quantity Variance | (26,000 – 24,000) × 80                                                        | **+160,000**    |
| Labor Rate Variance        | (160 – 150) × 900                                                              | **+9,000**      |
| Labor Efficiency Variance  | (900 – 800) × 150                                                              | **+15,000**     |
| Variable Overhead Variance | 130,000 – (30 × 900)                                                          | **+57,000**     |
| **Total Unfavorable Variance** | –                                                                           | **+371,000**    |

Step 4: Analysis & Action

  • Root Cause: Supplier price hike (+Rs 5/kg), inefficiency in labor (used 26,000 kg vs. 24,000 kg standard).
  • Solution:
    1. Negotiate with supplier to reduce price to Rs 82/kg.
    2. Train workers to reduce wastage (target: 24,000 kg).
    3. Introduce quality checks for raw materials.

Comparison: Budgeting vs. Standard Costing

Feature Budgeting Standard Costing
Purpose Plans future financial activities. Sets benchmarks for cost control.
Time Frame Usually 1 year. Ongoing (per production cycle).
Focus Revenue, expenses, cash flow. Direct materials, labor, overhead.
Variance Analysis Compares actual vs. budgeted revenue. Compares actual vs. standard costs.
Example Use NTC’s annual capex budget. Kathmandu shop’s rice cost control.

Exam Tip

  1. Budget Questions:

    • Always start with the sales budget (given or derived from demand).
    • Link production budget to sales + desired inventory.
    • Cash budget is critical—show beginning balance, receipts, payments, and ending balance.
  2. Standard Costing & Variances:

    • Memorize formulas for MPV, MQV, LRV, LEV.
    • Label variances as favorable/unfavorable (e.g., +ve = unfavorable for price/quantity).
    • Explain causes and actions (e.g., "Supplier price hike caused MPV; renegotiate contract").
  3. Numerical Problems:

    • Show all steps (flexible budget → actual costs → variances).
    • Use tables for clarity (like the Kathmandu shop example).
    • Assume missing data if needed (e.g., "Assume standard labor rate is Rs 200/hour").
  4. Real-World Tie-Ins:

    • Examiners love Nepali business examples (e.g., Daraz’s inventory budgets, Ncell’s overhead costs).
    • Link variances to actions (e.g., "High MQV in rice milling → automate sieving").
  5. Common Pitfalls:

    • Ignoring fixed costs in flexible budgets.
    • Mixing actual and standard quantities in variance calculations.
    • Forgetting to reconcile total variances to actual costs.

Final Note: Budgeting and standard costing are interlinked:

  • Budgets set targets.
  • Standard costs help achieve them.
  • Variances reveal where to improve.

Practice: Solve past exam questions by preparing a master budget for a hypothetical Nepali business (e.g., a chowk shop or a small factory) and then compute variances for a month’s actual data. This will build confidence for both theoretical and numerical questions!

In the real world

  • eSewa uses budgeting to plan its monthly transaction fees (e.g., Rs 1.5% per transaction) and variance analysis to track actual vs. projected revenue when new government policies change fee structures.
  • Nepal Telecom (NTC) applies standard costing to set benchmarks for call rates (e.g., Rs 5/minute) and flexible budgets to adjust for seasonal call volume fluctuations (e.g., higher usage during festivals).
  • Local kirana shops in Kathmandu use cash budgets to ensure they have enough liquidity for daily purchases (e.g., Rs 50,000/day for rice, sugar, and spices) and material variances to identify waste (e.g., spoilage of vegetables).

Based on the TU BBM syllabus for Accounting For Decision Making (ACC313), unit 5.

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