How to Pass the ACA Management Information Module: Mastering Standard Costing and Variance Analysis

How to Pass the ACA Management Information Module: Mastering Standard Costing and Variance Analysis

Understanding standard costing and variance analysis is crucial for the ACA Management Information module. This overview will help you grasp these essential concepts and apply them effectively to succeed in your studies.

Standard Costing and Standard Costs

Standard Costing

Definition

  • Standard costing is a control technique comparing actual costs to predetermined standards to report variances and take corrective actions (CIMA Official Terminology, 2005).
  • Involves:
    • Establishing cost estimates for products or services.
    • Collecting actual costs.
    • Comparing actual costs with standard estimates.

Standard Costs

Standard Cost Per Unit

  • Represents the expected cost per unit, calculated using:
    • Resource usage
    • Price per unit of resource
  • Example Standard Cost Card:
    • Material: 6 kg at £5 (£30)
    • Labour: 2.5 hours at £8 (£20)
    • Variable production overhead: 2.5 hours at £2 (£5)
    • Standard variable production cost: £55

Purpose:

  • Used for budget preparation and variance analysis.
  • Provides detailed cost information for management control.

Standard Costing and Management by Exception

  • Standard costs are average expected unit costs.
  • Variances are reported only if they exceed set tolerance limits.
  • Management by Exception:
    • Focuses on activities that need attention, ignoring those meeting expectations (CIMA Official Terminology).

Setting Standard Costs

  • Based on thorough investigation and research.
  • Continuously monitored to ensure accuracy.
  • Adjusted for changes in resource inputs or prices to maintain relevance.

Advantages of Standard Costing

  • Enhances accurate budgeting.
  • Provides a benchmark for measuring actual costs.
  • Identifies cost-saving materials and methods.
  • Sets efficiency targets to encourage cost-consciousness.
  • Simplifies bookkeeping and production scheduling.
  • Facilitates management by exception through variance reporting.
  • Incentivises meeting targets.

Challenges in Service Environments

  • Issues include:
    • Defining measurable cost units.
    • Cost unit heterogeneity (e.g., different types of services).
    • Human influence on quality and resource use.
  • Solutions:
    • Define measurable cost units (e.g., passenger-mile).
    • Standardise service offerings.
    • Use automation to minimize human impact.

Cost Variances

Variances

Definitions:

  • Variance: The difference between planned, budgeted, or standard cost and actual cost (CIMA Official Terminology, 2005).
  • Variance Analysis: Evaluating performance by analysing variances to inform management action (CIMA Official Terminology, 2005).
  • Favourable Variance (F): When actual results exceed expectations.
  • Adverse Variance (A): When actual results fall short of expectations.

Material Variances

Components:

  • Material Total Variance: Difference between standard and actual material cost.
  • Material Price Variance: Difference between standard and actual cost for actual quantity.
  • Material Usage Variance: Difference between standard and actual quantity used, valued at the standard price.

Formulas:

  • Material Price Variance: (Standard Price – Actual Price) × Actual Quantity.
  • Material Usage Variance: (Standard Quantity – Actual Quantity) × Standard Price.
  • Total Material Cost Variance: (SP × SQ) – (AP × AQ).

Inventory Valuation Methods:

  • Standard Cost Valuation: Variance calculated on purchases.
  • Actual Cost Valuation (FIFO): Variance calculated on usage.

Example:

  • 6,000 metres of material P at £3 should cost £18,000.
  • Actual cost: £18,600.
  • Price variance: £600 (Adverse).

Labour Variances

Components:

  • Labour Total Variance: Difference between standard labour cost and actual cost incurred.
  • Labour Rate Variance: Difference between standard and actual cost for hours paid.
  • Labour Efficiency Variance: Difference between standard and actual hours worked, valued at the standard rate.

Formulas:

  • Labour Rate Variance: (Standard Rate – Actual Rate) × Actual Hours.
  • Labour Efficiency Variance: (Standard Hours – Actual Hours) × Standard Rate.
  • Total Labour Cost Variance: (SR × SH) – (AR × AH).

Variable Production Overhead Variances

Components:

  • Total Variance: Difference between standard and actual overhead.
  • Expenditure Variance: Change from standard rate per hour.
  • Efficiency Variance: Change in cost due to efficiency level.

Formulas:

  • Expenditure Variance: (Standard Rate – Actual Rate) × Actual Hours.
  • Efficiency Variance: (Standard Hours – Actual Hours) × Standard Rate.

Fixed Overhead Expenditure Variance

Definition:

  • Difference between budgeted and actual fixed overhead expenditure.

Formula:

  • Fixed Overhead Expenditure Variance = Budgeted Cost – Actual Cost.

Sales Variances and Operating Statements

Sales Variances:

  • Predetermined standards include unit sales price and volume.
  • Variances calculated to monitor and control.

Formulas:

  • Sales Price Variance: (Actual Price – Standard Price) × Actual Quantity.
  • Sales Volume Variance: (Actual Quantity – Budgeted Quantity) × Standard Contribution per Unit.

Operating Statements:

  • Reports showing actual costs/revenues and variances from budget.
  • Reconcile budgeted contribution to actual contribution.

Note: Avoid rounding during variance calculations to ensure accuracy.

Interpreting Variances and Deriving Data

Common Reasons for Variances:

  • Material Price: Discounts, market changes, purchasing errors.
  • Material Usage: Quality, waste, theft.
  • Labour Rate: Wage changes, skill levels.
  • Labour Efficiency: Motivation, training, material quality.

Inter-Relationships:

  • Cheaper materials can lead to adverse usage variances.
  • Higher skilled labour may increase rates but improve efficiency.
  • Price and sales volume can have opposite effects on variances.

Deriving Actual Data:

  • Use variances to infer actual performance data.

Data Bias in Variance Analysis

Examples:

  • Report Bias: Focusing solely on negative outcomes without recognising improvements.
  • Comparative Information: Essential for fair analysis.
  • Internal vs. External Pricing: Managers may prioritise external options to the detriment of company interests.
  • Budget Predictions: Should reflect an equal chance for both favourable and adverse variances.

Next Steps

Mastering these concepts will help you approach questions on variance analysis with confidence. For further guidance and resources tailored to help you excel in the ACA Management Information module, explore our subscription plan here. Strengthen your exam strategy and ensure you’re prepared for success!