MANA6212: Management Accounting 2B Study Guide (Varsity College BCom Accounting)

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This study guide provides exam-focused notes for MANA6212: Management Accounting 2B, aligned to typical Varsity College BCom Accounting outcomes and referencing common South African terminology and exam styles. Concepts and examples are tailored to align with modules similar to UNISA’s MAC3761, CUT’s COST271, and NWU’s CACC 321, which cover advanced management accounting topics such as budgeting, standard costing, variance analysis, relevant costing, and performance measurement. Use this as a structured, exam-ready reference when preparing for tests, assignments, and final assessments.

1. Advanced Costing Foundations for MANA6212

Management Accounting 2B assumes knowledge from earlier modules like UNISA MAC2601, Varsity College MANA6111, and CUT COST161. This section refreshes key foundations and extends them into the level expected in MANA6212.

1.1 Recap of Cost Classifications and Behaviour

Understanding cost behaviour underpins budgeting, standard costing, and decision-making.

1.1.1 Basic classifications

  • Direct vs Indirect costs

    • Direct costs: Clearly traceable to a cost object (product, department, contract).
      • Examples: Direct materials (DM), direct labour (DL).
    • Indirect costs: Cannot be traced economically; treated as overheads.
      • Examples: Factory rent, supervisor salaries, factory utilities.

  • Product vs Period costs

    • Product costs: Inventoriable; attached to units produced.
      • DM + DL + manufacturing overheads.
    • Period costs: Expensed in the period incurred (admin, selling).

  • Variable vs Fixed vs Mixed costs

    • Variable costs: Change in total in proportion to volume; per-unit constant.
      • E.g. DM of R40 per unit.
    • Fixed costs: Total constant within relevant range; per-unit changes with volume.
      • E.g. factory rent R80 000/month.
    • Mixed (semi-variable) costs: Contain both fixed and variable components.
      • E.g. telephone costs: R5 000 fixed + R2 per minute.

1.1.2 High-low method (quick exam tool)

Used to split mixed costs into fixed and variable components.

Given data for machine maintenance at Ithuba Manufacturing (aligned to typical NWU CACC 321 style questions):

  • Highest activity month: 9 000 machine hours, total maintenance R41 000
  • Lowest activity month: 5 000 machine hours, total maintenance R29 000

  1. Variable cost per hour
    [
    v = \frac{41,000 – 29,000}{9,000 – 5,000}
    = \frac{12,000}{4,000}
    = R3 \text{ per hour}
    ]

  2. Fixed cost
    Use highest point:
    ( 41,000 = F + 3 \times 9,000 \Rightarrow 41,000 = F + 27,000 \Rightarrow F = 14,000 )

So total cost function:
[
\text{Maintenance cost} = R14,000 + R3 \times \text{machine hours}
]

Examiners often expect:

  • Clear identification of high and low points by activity, not by cost.
  • Separate calculation steps for variable and fixed portions.
  • Final algebraic cost function written clearly.

1.2 Absorption vs Variable Costing (for internal reporting)

In MANA6212, exam questions sometimes compare absorption costing and variable costing profit calculations.

1.2.1 Absorption costing

  • Treats all manufacturing costs (fixed + variable) as product costs.
  • Fixed manufacturing overhead (FMOH) is allocated per unit.
  • Profit is sensitive to changes in inventory:
    • When production > sales → inventory increases → some FMOH is carried in closing inventory → reported profit increases.
    • When production < sales → inventory decreases → extra FMOH is released from opening inventory → reported profit decreases.

1.2.2 Variable (marginal) costing

  • Only variable manufacturing costs are product costs.
  • FMOH treated as a period cost, expensed in full.
  • Profit depends only on sales volume, not production volume.

1.2.3 Numerical comparison

Assume for a Varsity College-type exam scenario:

  • Selling price: R120 per unit
  • Variable production cost: R60 per unit
  • Fixed manufacturing overhead: R180 000 per year
  • Variable selling cost: R10 per unit
  • Fixed admin & selling: R60 000 per year
  • Year 1: Produce 6 000 units, sell 5 000 units
  • Year 2: Produce 5 000 units, sell 6 000 units (no change in selling price or cost structure)

Step 1: Absorption costing – Year 1

  1. FMOH per unit = 180 000 / 6 000 = R30 per unit
  2. Absorption cost per unit = 60 + 30 = R90
  3. Income statement (Year 1):
Item Units R per unit Amount (R)
Sales 5 000 120 600 000
Cost of goods sold 5 000 90 450 000
Gross profit 150 000
Variable selling (10 × 5 000) 50 000
Fixed selling/admin 60 000
Profit 40 000

Closing inventory (Year 1): 1 000 units × R90 = R90 000

Step 2: Variable costing – Year 1

  1. Variable cost of goods sold = 5 000 × 60 = R300 000
  2. Contribution income statement:
Item Amount (R)
Sales (5 000 × 120) 600 000
Variable production (5 000 × 60) 300 000
Variable selling (5 000 × 10) 50 000
Total variable costs 350 000
Contribution 250 000
Fixed manufacturing overhead 180 000
Fixed admin & selling 60 000
Profit 10 000

Notice:

  • Absorption profit: R40 000
  • Variable profit: R10 000
  • Difference = R30 000 = FMOH in closing inventory (1 000 units × R30).

Exam technique:

  • Show both statements clearly and side by side.
  • Reconcile the difference using FMOH in inventory change.

1.3 Overheads and Traditional Absorption

Traditional cost accounting, still examined in MANA6212 and modules like UNISA MAC3701 and CUT COST271, allocates overheads via volume-based drivers.

1.3.1 Overhead allocation steps

  1. Assign overheads to production and service departments

    • Using allocation (directly traceable) and apportionment (shared bases like floor area, machine hours, headcount).

  2. Reapportion service department costs to production departments

    • Methods:
      • Direct method (simplest).
      • Step-down method.
      • Reciprocal method (simultaneous equations).

  3. Calculate overhead absorption rates (OARs) for production departments

    • Common bases: machine hours, labour hours, units, or direct labour cost.
    • Formula:
      [
      \text{OAR} = \frac{\text{Budgeted overhead}}{\text{Budgeted activity}}
      ]

  4. Absorb overhead into job or product cost using OAR.

1.3.2 Short numerical illustration

Overhead budget for V-College Manufacturing:

  • Department A (machining): R300 000, 15 000 machine hours
  • Department B (assembly): R200 000, 20 000 labour hours

OARs:

  • Dept A: 300 000 / 15 000 = R20 per machine hour
  • Dept B: 200 000 / 20 000 = R10 per labour hour

Job X:

  • 40 machine hours in Dept A
  • 30 labour hours in Dept B

Overhead absorbed:

  • Dept A: 40 × 20 = R800
  • Dept B: 30 × 10 = R300
  • Total overhead on Job X: R1 100

This foundation is key for later comparisons with Activity-Based Costing (ABC) and for standard costing overhead variances.

2. Budgeting and Budgetary Control (Typical MANA6212 Focus Area)

Budgeting is consistently examined in Management Accounting 2B modules across South African universities, including UNISA MAC3721, CUT COST271, and Varsity College MANA6212. Expect both calculation and discussion questions.

2.1 Purposes and Types of Budgets

2.1.1 Purposes of budgeting

Examiners often ask for 4–6 purposes:

  • Planning: Quantifies future plans in financial terms.
  • Coordination: Aligns activities of departments (production, sales, purchasing).
  • Communication: Communicates targets and constraints across the organisation.
  • Control: Provides benchmarks for performance measurement and variance analysis.
  • Motivation: Can motivate staff if targets are perceived as fair and attainable.
  • Resource allocation: Helps decide on prioritisation of scarce resources (capital, labour, materials).

Discuss both advantages and potential dysfunctions (e.g., budgetary slack, short-termism).

2.1.2 Types of budgets

Common types examinable in the MANA6212 context:

  • Functional budgets:

    • Sales budget
    • Production budget
    • Materials usage and purchase budgets
    • Labour budgets
    • Overhead budgets
    • Cash budget

  • Master budget:

    • Budgeted income statement
    • Budgeted statement of financial position
    • Budgeted cash flow statement

  • Fixed vs Flexible budgets:

    • Fixed: Prepared for a single level of activity.
    • Flexible: Adjusted to actual level of activity; crucial for meaningful variance analysis.

  • Incremental vs Zero-based budgeting (ZBB):

    • Incremental:
      • Start from last year’s budget and adjust.
      • Simple but risks perpetuating inefficiencies.
    • Zero-based:
      • Start from zero; justify all costs.
      • Time-consuming but can remove waste.

2.2 Preparing a Comprehensive Master Budget

A core exam skill in MANA6212 and similar modules like UNISA MAC3761 is constructing a linked set of budgets. Below is a structured example.

2.2.1 Scenario data (Varsity College-style example)

V-Connect Manufacturers produces a single product, the VX-10. Relevant data for the first quarter of 2025:

  • Forecast sales (units):

    • January: 4 000
    • February: 5 000
    • March: 6 000

  • Selling price: R150 per unit

  • Finished goods inventory policy:

    • Closing inventory = 20% of next month’s sales volume

  • Opening finished goods inventory (1 Jan): 800 units (this should equal 20% of January sales, 20% × 4 000 = 800, consistent)

  • Direct material A:

    • 5 kg per unit
    • Cost: R12 per kg
    • Closing inventory policy: 30% of next month’s production requirement
    • Opening inventory (1 Jan): 9 000 kg

  • Direct labour:

    • 2 hours per unit
    • Wage rate: R40 per hour

  • Variable manufacturing overhead: R10 per labour hour

  • Fixed manufacturing overhead: R300 000 per quarter (cash cost)

  • Variable selling & admin: R8 per unit sold

  • Fixed selling & admin: R180 000 per quarter (cash cost)

  • Credit terms:

    • 60% of sales are on credit, collected in the month following sale.
    • 40% are cash sales received in the month of sale.

  • Purchases of materials:

    • All on credit; 70% paid in month of purchase, 30% in following month.

  • Opening creditors (1 Jan): R100 000

Ignore VAT and tax for budgeting.

2.2.2 Sales budget

Month Units Price (R) Sales (R)
January 4 000 150 600 000
February 5 000 150 750 000
March 6 000 150 900 000
Total Q1 2 250 000

2.2.3 Production budget (units)

Formula:
[
\text{Production} = \text{Sales} + \text{Closing finished goods} – \text{Opening finished goods}
]

Required closing inventories:

  • January closing = 20% of Feb sales = 0.20 × 5 000 = 1 000 units
  • February closing = 20% of Mar sales = 0.20 × 6 000 = 1 200 units
  • March closing = 20% of April sales → assume April forecast = 5 000 units
    ⇒ March closing = 0.20 × 5 000 = 1 000 units

Production:

Month Sales Closing FG Opening FG Production units
January 4 000 1 000 800 4 200
February 5 000 1 200 1 000 5 200
March 6 000 1 000 1 200 5 800
Total 15 200

Check: Opening Jan FG = 800; Closing March FG = 1 000.

2.2.4 Direct materials usage and purchases budgets

Usage of Direct Material A:

  • 5 kg per unit × production units.
Month Production units kg per unit Usage (kg)
January 4 200 5 21 000
February 5 200 5 26 000
March 5 800 5 29 000
Total 76 000

Closing inventory policy: 30% of next month’s usage.

  • January closing:
    • February usage = 26 000 kg
    • January closing = 0.30 × 26 000 = 7 800 kg
  • February closing:
    • March usage = 29 000 kg
    • February closing = 0.30 × 29 000 = 8 700 kg
  • March closing:
    • Assume April production = 5 000 units (to match April sales)
    • April usage = 5 000 × 5 = 25 000 kg
    • March closing = 0.30 × 25 000 = 7 500 kg

Purchases of Direct Material A (kg):

[
\text{Purchases} = \text{Usage} + \text{Closing inventory} – \text{Opening inventory}
]

Month Usage (kg) Closing inv (kg) Opening inv (kg) Purchases (kg)
January 21 000 7 800 9 000 19 800
February 26 000 8 700 7 800 26 900
March 29 000 7 500 8 700 27 800
Total 76 000 74 500

Material purchases cost (R12 per kg):

Month Purchases (kg) Price (R) Purchases cost (R)
January 19 800 12 237 600
February 26 900 12 322 800
March 27 800 12 333 600
Total 74 500 894 000

2.2.5 Direct labour and overhead budgets

Direct labour:

  • 2 hours per unit; wage R40 per hour.
Month Production units Hours per unit Total hours Wage rate (R) Labour cost (R)
January 4 200 2 8 400 40 336 000
February 5 200 2 10 400 40 416 000
March 5 800 2 11 600 40 464 000
Total 15 200 30 400 1 216 000

Variable manufacturing overhead (R10 per labour hour):

Month Labour hours VOH rate (R) VOH cost (R)
January 8 400 10 84 000
February 10 400 10 104 000
March 11 600 10 116 000
Total 30 400 304 000

Fixed manufacturing overhead:

  • Total for quarter: R300 000
    Assume evenly spread:
Month Fixed MOH (R)
January 100 000
February 100 000
March 100 000
Total 300 000

2.2.6 Selling and administrative budgets

Variable selling & admin (R8 per unit sold):

Month Units sold Rate (R) Variable S&A cost (R)
January 4 000 8 32 000
February 5 000 8 40 000
March 6 000 8 48 000
Total 15 000 120 000

Fixed selling & admin: R180 000 per quarter, evenly:

Month Fixed S&A (R)
January 60 000
February 60 000
March 60 000
Total 180 000

2.3 Cash Budget (Exam Favourite)

Cash budgets, heavily examined in UNISA MAC3721 and mirrored in MANA6212, test your ability to combine budgets and timing of cash flows.

2.3.1 Cash receipts

Credit terms:

  • 60% of sales on credit, collected the month after sale.
  • 40% cash sales (collected immediately).

Assume debtors at 31 December 2024 = R240 000, arising from December 2024 credit sales only.

  • If 60% of December sales = 240 000, then December total sales = 240 000 / 0.60 = R400 000.
    (This is not used elsewhere, but ensures consistency.)

Collections per month:

Month Cash from current sales (40%) Cash from previous credit sales (60% prior month) Total receipts (R)
January 40% × 600 000 = 240 000 From Dec: 240 000 480 000
February 40% × 750 000 = 300 000 60% × 600 000 = 360 000 660 000
March 40% × 900 000 = 360 000 60% × 750 000 = 450 000 810 000

2.3.2 Cash payments for materials

Credit terms:

  • 70% of purchases are paid in month of purchase.
  • 30% in the month following.

Given opening creditors at 1 Jan = R100 000 (this is 30% of December purchases).

Payments per month:

Month Purchases (R) 70% current (R) 30% previous (R) Total payments (R)
January 237 600 166 320 100 000 266 320
February 322 800 225 960 0.30 × 237 600 = 71 280 297 240
March 333 600 233 520 0.30 × 322 800 = 96 840 330 360

(Note: December purchases amount = 100 000 / 0.30 = R333 333.33; approximations are acceptable if assumptions are documented.)

2.3.3 Other cash payments

Assume:

  • Wages, variable overheads, and variable S&A paid in the month incurred.
  • Fixed overheads and fixed S&A also fully paid monthly in cash.

Per month cash operating payments:

January:

  • Wages: 336 000
  • VOH: 84 000
  • Variable S&A: 32 000
  • Fixed MOH: 100 000
  • Fixed S&A: 60 000

Total non-purchase operating payments = 336 000 + 84 000 + 32 000 + 100 000 + 60 000 = 612 000.

February:

  • Wages: 416 000
  • VOH: 104 000
  • Variable S&A: 40 000
  • Fixed MOH: 100 000
  • Fixed S&A: 60 000

Total = 416 000 + 104 000 + 40 000 + 100 000 + 60 000 = 720 000.

March:

  • Wages: 464 000
  • VOH: 116 000
  • Variable S&A: 48 000
  • Fixed MOH: 100 000
  • Fixed S&A: 60 000

Total = 464 000 + 116 000 + 48 000 + 100 000 + 60 000 = 788 000.

2.3.4 Cash budget summary

Assume opening cash balance (1 Jan) = R50 000. No financing activities.

Month Opening cash Receipts Payments for purchases Other operating payments Net cash flow Closing cash
January 50 000 480 000 266 320 612 000 480 000 – 266 320 – 612 000 = -398 320 50 000 – 398 320 = -348 320
February -348 320 660 000 297 240 720 000 660 000 – 297 240 – 720 000 = -357 240 -348 320 – 357 240 = -705 560
March -705 560 810 000 330 360 788 000 810 000 – 330 360 – 788 000 = -308 360 -705 560 – 308 360 = -1 013 920

This big negative cash balance suggests need for short-term financing. Exam questions may ask:

  • Suggest financing options (overdraft, short-term loan).
  • Discuss reasons for cash shortages despite profitability.

2.4 Behavioural Aspects of Budgeting

Higher-level modules like MANA6212 and UNISA MAC3701 often include theory questions on budgetary control and behaviour.

2.4.1 Participation in budgeting

  • Top-down (imposed) budgeting:

    • Senior management sets budgets.
    • Pros: Strategic alignment, speed.
    • Cons: Low motivation, unrealistic targets, resistance.

  • Bottom-up (participative) budgeting:

    • Lower-level managers contribute to budget preparation.
    • Pros: Better information, higher ownership, more realistic.
    • Cons: Budgetary slack, time-consuming.

In exams, discuss:

  • How to balance participation with control.
  • The role of budget committees in institutions such as CUT and Varsity College.

2.4.2 Budgetary slack and gaming

  • Budgetary slack: Deliberately building extra costs or understating revenues to make targets easier to achieve.
  • Gaming behaviours:
    • Deferring income to next budget period.
    • Accelerating expenses into current period.
    • “Use it or lose it” spending at year-end.

Control mechanisms:

  • Regular budget reviews.
  • Linking performance measures to both financial and non-financial outcomes.
  • Use of rolling budgets and flexible budgets.

3. Standard Costing and Variance Analysis

Standard costing and variance analysis are core outcomes in MANA6212: Management Accounting 2B, and aligned to material in UNISA MAC3721, CUT COST271, and NWU CACC 321. Expect numerical variance calculations paired with interpretive discussion.

3.1 Setting Standards

Types of standards:

  • Ideal (perfection) standards: Assume perfect conditions; no wastage or downtime.
  • Currently attainable (practical) standards: Allow for normal wastage and machine downtime; most commonly used.
  • Basic standards: Long-term benchmarks, rarely changed.
  • Normal standards: Reflect average past performance.

Examiners might ask:

  • Pros/cons of ideal vs attainable standards.
  • How standards are set (engineering studies, time-and-motion studies, historical analysis).

3.2 Material Variances

For direct materials, common variances:

  1. Material price variance (MPV)
  2. Material usage (quantity) variance (MUV)
  3. Total material cost variance

3.2.1 Formulas

Let:

  • SP = standard price per kg

  • AP = actual price per kg

  • SQ = standard quantity allowed for actual output

  • AQ = actual quantity used

  • Material price variance (MPV):
    [
    \text{MPV} = AQ (SP – AP)
    ]

  • Material usage variance (MUV):
    [
    \text{MUV} = SP (SQ – AQ)
    ]

  • Total material cost variance (MCV):
    [
    \text{MCV} = (SP \times SQ) – (AP \times AQ) = MPV + MUV
    ]

Favourable (F) vs Adverse (A):

  • If actual costs are less than standard → Favourable.
  • If actual costs exceed standard → Adverse.

3.2.2 Numerical example

V-Connect’s standard for Material A in VX-10:

  • Standard usage: 5 kg per unit
  • Standard price: R12 per kg

For March, production is 5 800 units (from earlier budget).
Thus, standard quantity allowed = 5 × 5 800 = 29 000 kg.

Actual data:

  • Actual quantity used: 30 000 kg
  • Actual price: R11.50 per kg

  1. MPV:

    • AQ = 30 000 kg
    • SP = 12
    • AP = 11.50
      [
      MPV = 30,000 (12 – 11.50) = 30,000 \times 0.50 = R15,000\ \text{F}
      ]

  2. MUV:

    • SQ = 29 000 kg
    • AQ = 30 000 kg
    • SP = 12
      [
      MUV = 12 (29,000 – 30,000) = 12 \times (-1,000) = R12,000\ \text{A}
      ]

  3. Total MCV:

    Standard cost allowed: 29 000 × 12 = R348 000
    Actual cost: 30 000 × 11.50 = R345 000

    [
    MCV = 348,000 – 345,000 = R3,000\ \text{F}
    ]

Check: MPV + MUV = 15 000 F + 12 000 A = 3 000 F (consistent).

Interpretation:

  • Overall F, but usage was inefficient (MUV A) offset by favourable price variance.
  • Possible reasons: Lower-quality material purchased at cheaper price causing higher wastage.

3.3 Labour Variances

Common labour variances:

  1. Labour rate variance (LRV)
  2. Labour efficiency variance (LEV)
  3. Total labour cost variance

Let:

  • SR = standard wage rate per hour
  • AR = actual wage rate per hour
  • SH = standard hours for actual output
  • AH = actual hours worked

Formulas:

  • LRV:
    [
    LRV = AH (SR – AR)
    ]

  • LEV:
    [
    LEV = SR (SH – AH)
    ]

  • Total labour variance:
    [
    LCV = (SR \times SH) – (AR \times AH) = LRV + LEV
    ]

3.3.1 Numerical example

Standard for VX-10:

  • Labour: 2 hours per unit
  • Standard rate: R40 per hour

For March, actual production: 5 800 units ⇒ SH = 2 × 5 800 = 11 600 hours.

Actual data:

  • AH = 12 000 hours
  • Total wages paid = R504 000
  • Thus, AR = 504 000 / 12 000 = R42/hour

  1. LRV:
    [
    LRV = 12,000 (40 – 42) = 12,000 \times (-2) = R24,000\ \text{A}
    ]

  2. LEV:
    [
    LEV = 40 (11,600 – 12,000) = 40 \times (-400) = R16,000\ \text{A}
    ]

  3. LCV:

    Standard cost allowed: 11 600 × 40 = R464 000
    Actual cost: 12 000 × 42 = R504 000

    [
    LCV = 464,000 – 504,000 = R40,000\ \text{A}
    ]

Check: LRV + LEV = 24 000 A + 16 000 A = 40 000 A.

Interpretation:

  • Higher wage rate (possibly overtime or skilled workers) and lower efficiency (more hours per unit).
  • Management response: Investigate causes – inadequate training, low morale, machine breakdowns.

3.4 Overhead Variances (Variable and Fixed)

Overhead variances are more complex; examiners on MANA6212 and UNISA MAC3761 often expect clear structure.

Assume overhead absorption on the basis of labour hours.

3.4.1 Variable overhead variances

Let:

  • SVR = standard variable overhead rate per hour

  • AV = actual variable overhead

  • AH = actual hours

  • SH = standard hours for actual output

  • Variable overhead expenditure variance (VOEV):
    [
    VOEV = (SVR \times AH) – AV
    ]

  • Variable overhead efficiency variance (VOEffV):
    [
    VOEffV = SVR (SH – AH)
    ]

  • Total variable overhead variance = VOEV + VOEffV.

Using March data:

  • SVR = R10 per labour hour (from Section 2).
  • AH = 12 000 hours.
  • SH = 11 600 hours.
  • Suppose actual variable overhead AV = R130 000.

  1. VOEV:
    [
    VOEV = (10 \times 12,000) – 130,000 = 120,000 – 130,000 = R10,000\ \text{A}
    ]

  2. VOEffV:
    [
    VOEffV = 10 (11,600 – 12,000) = 10 \times (-400) = R4,000\ \text{A}
    ]

  3. Total VOV:

    Standard allowed cost for actual hours: 10 × 12 000 = R120 000
    Actual: R130 000

    Total variance = 120 000 – 130 000 = R10 000 A
    Wait, check with decomposition: 10 000 A + 4 000 A = 14 000 A; this would be inconsistent.

Hence adjust AV to maintain consistency. Let’s set AV such that:

  • Let total VOV = VOEV + VOEffV = 10 000 A + 4 000 A = 14 000 A.
  • So standard VOH allowed for SH = 10 × 11 600 = 116 000.
  • If total variance = 14 000 A, actual must be: 116 000 + 14 000 = 130 000.
  • But for VOEV we compare standard for AH vs actual:
    Standard for AH = 10 × 12 000 = 120 000.
    VOEV = 120 000 – 130 000 = 10 000 A (correct).
    VOEffV = 116 000 – 120 000 = 4 000 A (correct).

So AV = R130 000 is consistent with total VOV = 14 000 A. Clarify:

  • Total VOV:
    [
    \text{Total VOV} = (SVR \times SH) – AV = 116,000 – 130,000 = R14,000\ \text{A}
    ]

Interpretation:

  • Overheads overspent (VOEV A) and inefficient usage of hours (VOEffV A).

3.4.2 Fixed overhead variances (absorption approach)

Assume:

  • Budgeted fixed overhead for month = R100 000.
  • Budgeted hours = 12 000 (based on normal capacity).
  • Thus, standard fixed overhead rate (SFOR) = 100 000 / 12 000 = R8.33 per hour (rounded to 2 decimals).

Actual (March):

  • SH for actual production: 11 600 hours.
  • AH: 12 000 hours.
  • Actual fixed overhead incurred: R102 000.

Key variances (absorption costing style, aligned with SA textbooks used at UNISA, CUT, and Varsity College):

  1. Fixed overhead expenditure (budget) variance:
    [
    FOEV = \text{Budgeted FOH} – \text{Actual FOH} = 100,000 – 102,000 = R2,000\ \text{A}
    ]

  2. Fixed overhead volume variance:
    [
    FOVV = (\text{SFOR} \times SH) – \text{Budgeted FOH}
    ]

    SFOR × SH = 8.33 × 11 600 ≈ 96 628 (rounding allowed).

    [
    FOVV \approx 96,628 – 100,000 = R3,372\ \text{A}
    ]

    (In exam settings you may keep more decimals or use exact fractions.)

Volume variance can be further split into:

  • Capacity variance:
    [
    FO\text{ capacity variance} = SFOR (AH – BH)
    ]
    where BH = budgeted hours (12 000).

    SFOR × (12 000 – 12 000) = 0 ⇒ capacity variance ≈ 0 (if AH = BH).

  • Efficiency variance:
    [
    FO\text{ efficiency variance} = SFOR (SH – AH) = 8.33 (11 600 – 12 000) \approx 8.33 \times (-400) = R3,332\ \text{A}
    ]

Total FOVV should approximate the sum of capacity and efficiency variances.

  1. Total fixed overhead variance:
    [
    \text{Total FOV} = (SFOR \times SH) – \text{Actual FOH} \approx 96,628 – 102,000 = R5,372\ \text{A}
    ]

Check: FOEV (2 000 A) + FOVV (≈3 372 A) ≈ 5 372 A.

Interpretation:

  • Over-spending on fixed overhead (budget variance A) and lower production volume than budgeted (volume variance A).

3.5 Sales Variances

For sales, exams may test sales price variance and sales volume variance.

Let:

  • SP = standard selling price
  • AP = actual selling price
  • SQ = standard quantity (budgeted sales units)
  • AQ = actual quantity (actual sales units)

3.5.1 Formulas

  • Sales price variance (SPV):
    [
    SPV = AQ (AP – SP)
    ]
    (Note: For revenue, higher actual price yields a favourable variance.)

  • Sales volume variance (SVV) (profit-based approach, using standard profit per unit, often in MANA6212):

    Let standard profit per unit = SPu.

    [
    SVV = SPu (AQ – SQ)
    ]

Examiners may also test sales mix and sales quantity variances for multi-product firms.

4. Relevant Costing and Short-Term Decision Making

Short-term decision-making using relevant costing, cost-volume-profit (CVP) analysis, and limiting factor analysis is a key block in MANA6212, reflecting content similar to UNISA MAC3701, CUT COST271, and UJ ACC3MA2.

4.1 Principles of Relevant Costing

Relevant costs are:

  • Future: Past (sunk) costs are irrelevant.
  • Incremental: Additional costs and benefits directly resulting from the decision.
  • Cash-based: Non-cash items (e.g. depreciation) usually irrelevant (unless tax effects considered).

Types of costs:

  • Sunk costs: Already incurred; irrelevant.
  • Committed costs: Cannot be changed in the short term; often irrelevant.
  • Opportunity costs: Benefits foregone by choosing one alternative over another; always relevant.
  • Avoidable costs: Costs that can be eliminated; relevant.

Exam tips:

  • Identify differential cash flows between alternatives.
  • Clearly exclude sunk and common fixed costs.

4.2 Cost-Volume-Profit (CVP) Analysis

CVP is widely examined in Management Accounting 2B.

4.2.1 Key formulas

Let:

  • SP = selling price per unit

  • VC = variable cost per unit

  • FC = total fixed costs

  • Q = quantity (units)

  • P = profit

  • Contribution per unit ( c = SP – VC )

  • Total contribution ( = c \times Q )

  • Profit ( P = (SP – VC)Q – FC = cQ – FC )

Break-even point (BEP):

  • Units:
    [
    Q_{BEP} = \frac{FC}{c}
    ]
  • Sales value:
    [
    \text{Sales}{BEP} = Q{BEP} \times SP
    ]

Target profit (before tax):

[
Q = \frac{FC + \text{Target profit}}{c}
]

Margin of safety (MOS):

  • Units: Actual sales units − BEP units
  • Percentage:
    [
    MOS% = \frac{\text{Actual sales} – \text{BEP sales}}{\text{Actual sales}} \times 100
    ]

4.2.2 Single-product example

Using earlier V-Connect data (simplified):

  • SP = R150 per unit
  • Variable production cost per unit:
    • Materials: 5 kg × 12 = 60
    • Labour: 2 hours × 40 = 80
    • VOH: 2 hours × 10 = 20
    • Variable S&A: 8
    • Total VC per unit = 60 + 80 + 20 + 8 = R168
      (Note: This yields negative contribution at SP150; adjust SP or VC to keep realistic.)

To maintain consistency, change assumption for exam CVP illustration: suppose SP = R250 per unit (keeping VC per unit = R168). Then:

  • Contribution per unit ( c = 250 – 168 = R82 ).
  • Total fixed costs per quarter:
    • Fixed MOH: 300 000
    • Fixed S&A: 180 000
    • Total FC = R480 000

Break-even units (per quarter):

[
Q_{BEP} = \frac{480,000}{82} \approx 5,854\ \text{units}
]

If expected quarterly sales = 15 000 units:

  • MOS (units) = 15 000 − 5 854 ≈ 9 146 units
  • MOS% ≈ 9 146 / 15 000 × 100 ≈ 60.97%

Interpretation:

  • Company is operating with a comfortable safety margin.

Exam questions may require:

  • Graphical CVP representation.
  • Effect on BEP and MOS of changes in SP, VC, or FC.

4.3 Relevant Costing Decisions

4.3.1 Make or buy decisions

Example (aligned with CUT COST271 style):

V-Connect currently manufactures Component Z used in VX-10.

  • Current annual usage: 20 000 units.
  • Internal manufacturing cost per unit:
    • DM: R30 (avoidable)
    • DL: R25 (avoidable)
    • Variable overhead: R10 (avoidable)
    • Fixed overhead: R15 (of which R8 is avoidable, R7 is common and will be incurred regardless)
  • Supplier offers Component Z at R70 per unit.

Relevant cost per unit (make):

  • DM: 30 (relevant)
  • DL: 25 (relevant)
  • Variable OH: 10 (relevant)
  • Avoidable fixed OH: 8 (relevant)
  • Common fixed OH: 7 (irrelevant)

Total relevant make cost = 30 + 25 + 10 + 8 = R73.

Buy cost per unit = R70.

For 20 000 units:

  • Make relevant cost = 73 × 20 000 = R1 460 000
  • Buy cost = 70 × 20 000 = R1 400 000

Buying saves R60 000 per year (R1 460 000 − R1 400 000), so in purely financial terms, buy is preferable.

However, exam answers should also discuss qualitative factors:

  • Reliability and quality of supplier.
  • Impact on employees (retrenchments, morale).
  • Strategic considerations (control of key components).

4.3.2 Special order decisions

Special orders often appear in exam questions for Varsity College MANA6212, UNISA MAC3721, and NWU CACC 321.

Assume:

  • Current selling price: R250 per unit.
  • VC per unit: R168.
  • Current capacity: 20 000 units per quarter; normal sales volume = 15 000 units per quarter.
  • A foreign customer offers a one-off order of 4 000 units at R190 per unit.
  • No additional fixed costs.
  • No effect on regular selling price or demand.
  • Enough idle capacity (15 000 regular + 4 000 special = 19 000, below capacity 20 000).

Relevant analysis:

  • Incremental revenue = 4 000 × 190 = R760 000.
  • Incremental variable cost = 4 000 × 168 = R672 000.
  • Incremental profit = 760 000 − 672 000 = R88 000.

Conclusion:

  • Accept the order (positive contribution) as long as no negative qualitative factors (e.g., breach of pricing policy in local market).

If capacity were constrained, analysis must consider opportunity cost (lost contribution from regular sales).

4.3.3 Shut down, continue, or add a product line

An exam scenario may ask whether to discontinue a loss-making product.

Example:

Product A (per quarter):

  • Sales: R500 000

  • Variable costs: R320 000

  • Direct fixed costs (avoidable): R120 000

  • Allocated common fixed OH: R150 000

  • Profit/(loss) as currently reported:

    Contribution = 500 000 − 320 000 = 180 000
    Profit = 180 000 − 120 000 − 150 000 = R90 000 loss

Management considers dropping Product A.

Relevant analysis:

  • If discontinued:
    • Lose contribution: R180 000 (relevant).
    • Save direct fixed costs: R120 000 (relevant).
    • Common fixed OH of R150 000 will be reallocated to other products (irrelevant in total).

Net effect on profit:

  • Change in profit = -180 000 + 120 000 = R60 000 decrease.

Thus, even though Product A shows an accounting loss (R90 000), dropping it would worsen overall profit by R60 000. Therefore, it should be retained in the short term.

4.4 Limiting Factor and Linear Programming Basics

When resources (e.g., machine hours, skilled labour) are limited, decisions must optimise contribution per unit of limiting factor.

4.4.1 Single limiting factor

Example:

V-Connect produces Product X and Y, using a single machine (max 10 000 hours per quarter).

Data:

Item X Y
Selling price (R) 300 270
Variable cost per unit (R) 210 195
Machine hours per unit 2 1.5

Calculate:

  • Contribution per unit:
    • X: 300 − 210 = R90.
    • Y: 270 − 195 = R75.
  • Contribution per machine hour:
    • X: 90 / 2 = R45/hour.
    • Y: 75 / 1.5 = R50/hour.

With machine hours as limiting factor, prioritise Y (higher R50/hour). Subject to demand constraints (if any), produce Y up to demand, then use remaining capacity for X.

Exam answers:

  • Rank products by contribution per limiting factor.
  • Show allocation and compute total contribution.

4.4.2 Basic linear programming structure (theory)

For more advanced modules like UNISA MAC3701 and some MANA6212 syllabi:

Maximise ( Z = c_1 x_1 + c_2 x_2 ) subject to:

  • Resource constraints:
    ( a_{11} x_1 + a_{12} x_2 \leq b_1 )
    ( a_{21} x_1 + a_{22} x_2 \leq b_2 )
  • Non-negativity: ( x_1, x_2 \geq 0 ).

Graphical solution:

  • Plot constraints.
  • Identify feasible region.
  • Evaluate objective at corner points.

While full simplex calculations are rarely required in MANA6212, understanding the structure and interpretation (shadow prices, binding constraints) is useful for theory questions.

5. Performance Measurement, Divisional Performance, and Transfer Pricing

This section covers performance measurement, residual income, and transfer pricing, all common in advanced modules such as MANA6212, UNISA MAC3701, CUT COST371, and UKZN ACCT3MA.

5.1 Divisional Performance Measurement

Large organisations often decentralise operations into divisions (e.g., South, Central, North regions) and use performance metrics to evaluate divisional managers.

Key measures:

  • Return on Investment (ROI)
  • Residual Income (RI)
  • Economic Value Added (EVA) (sometimes in theory sections)
  • Non-financial measures (customer satisfaction, quality, delivery times).

5.1.1 Return on Investment (ROI)

Formula:

[
ROI = \frac{\text{Divisional profit}}{\text{Divisional investment}} \times 100
]

Often re-expressed via Du Pont analysis:

[
ROI = \frac{\text{Profit}}{\text{Sales}} \times \frac{\text{Sales}}{\text{Investment}} = \text{Profit margin} \times \text{Asset turnover}
]

Example:

Division A (linked to a Varsity College case):

  • Profit = R600 000
  • Investment (net assets) = R3 000 000

ROI:

[
ROI = \frac{600,000}{3,000,000} \times 100 = 20%
]

Managers are often judged on ROI targets (e.g., 18% minimum).

Problems with ROI:

  • Discourages investments with ROI above the company’s cost of capital but below current divisional ROI, leading to underinvestment.
  • Focuses on short-term profits, possibly at expense of long-term value.

5.1.2 Residual Income (RI)

Residual income overcomes some ROI weaknesses by measuring absolute value added.

Formula:

[
RI = \text{Divisional profit} – (\text{Required rate of return} \times \text{Divisional investment})
]

If required rate = 15%, Division A:

[
RI = 600,000 – (0.15 \times 3,000,000) = 600,000 – 450,000 = R150,000
]

If Division A can make a new investment:

  • Additional profit: R150 000
  • Additional investment: R700 000

ROI on project = 150 000 / 700 000 ≈ 21.43% > 20%? No, 21.43% > 20% — earlier ROI was 20%. Depending on assumptions, there are classic exam scenarios where ROI conflicts with RI.

Consider a different case where existing ROI is 25% and project ROI = 20%:

  • Under ROI, manager might reject project (20% < 25%), even though project’s ROI > company hurdle rate of 15%.
  • Under RI, project increases total RI (since 20% > 15%), so manager would accept.

Exam discussion:

  • RI encourages acceptance of all projects with returns above the required rate.
  • ROI may misalign divisional and organisational goals.

5.2 Balanced Scorecard and Non-Financial Measures

Modern performance measurement incorporates financial and non-financial indicators, as reflected in modules like UNISA MAC3701 and MANA6212 theory.

The Balanced Scorecard (BSC) has four perspectives:

  1. Financial perspective
    • ROI, RI, sales growth, net profit margin, EVA.
  2. Customer perspective
    • Customer satisfaction scores.
    • On-time delivery rate.
    • Market share.
  3. Internal business process perspective
    • Cycle time, defect rate, throughput.
    • Inventory days.
  4. Learning and growth perspective
    • Employee training hours.
    • Staff turnover.
    • Employee satisfaction scores.

Exam questions may ask you to:

  • Propose BSC measures for a specific South African firm (e.g., a manufacturer in Bloemfontein or a service firm in Durban).
  • Discuss advantages and limitations of BSC.
  • Explain linkages between perspectives (e.g., training → improved processes → better customer satisfaction → improved financial results).

5.3 Transfer Pricing

Transfer pricing is central when divisions trade with each other. Modules like MANA6212, UNISA MAC3701, and CUT COST371 often include numerical and discussion transfer pricing questions.

Purposes:

  • Provide relevant information for decision-making.
  • Motivate goal-congruent behaviour.
  • Enable fair performance evaluation.
  • Ensure divisional autonomy.

5.3.1 Common transfer pricing methods

  1. Market-based transfer price

    • Use external market price as transfer price.
    • Works well if:
      • Competitive external market exists.
      • Division can buy/sell externally.
    • Pros:
      • Objective, easy to justify.
      • Encourages divisional efficiency.
    • Cons:
      • Market price may be volatile.
      • Does not account for internal cost savings.

  2. Cost-based transfer price

    • Variants:
      • Variable cost only.
      • Full cost (absorption).
      • Full cost plus markup.
    • Pros:
      • Easy to calculate when market price not available.
    • Cons:
      • May not provide optimal incentives.
      • Full-cost + markup can discourage buying division.

  3. Negotiated transfer price

    • Divisions negotiate price within a range:
      • Lower limit: minimum price acceptable to selling division.
      • Upper limit: maximum price acceptable to buying division.
    • Pros:
      • Preserves autonomy.
      • Can lead to win–win solutions.
    • Cons:
      • Time-consuming.
      • Requires strong negotiation skills.

5.3.2 Determining minimum and maximum transfer prices

Key idea:

  • Minimum transfer price for selling division:
    [
    \text{Min TP} = \text{Incremental cost per unit} + \text{Opportunity cost per unit}
    ]
  • Maximum transfer price for buying division:
    [
    \text{Max TP} = \text{Net marginal revenue from external alternatives (e.g. buying externally)}
    ]

Example:

Division A (manufacturing) and Division B (assembly) at V-Connect.

Division A’s data:

  • Variable cost per unit: R120
  • Capacity: 40 000 units
  • Current external sales: 30 000 units at R200 per unit
  • Fixed costs: R1 200 000

Division B needs 8 000 units of the component. External suppliers offer price R210 per unit.

Case 1: Division A has spare capacity (no alternative use)

  • Capacity = 40 000, current sales = 30 000.
  • Spare capacity = 10 000 units.
  • Internal transfer of 8 000 uses spare capacity (no lost external sales).
  • Opportunity cost = 0 (no contribution lost).
  • Minimum TP = variable cost = R120.
  • Maximum TP for Division B = external purchase cost = R210.

Any transfer price between R120 and R210 increases group profit relative to buying externally.

Group-level analysis if transfer at R180 (for example):

  • From group perspective, internal transfer price cancels out; relevant comparison is:
    • Make cost internally: 8 000 × 120 = 960 000.
    • Buy externally: 8 000 × 210 = 1 680 000.
    • Group saves 1 680 000 − 960 000 = R720 000.

Case 2: No spare capacity (transfer implies lost external sales)

Assume instead that Division A’s current external sales are 40 000 units (full capacity). To supply 8 000 to B, must give up 8 000 external units.

  • Contribution per external unit = selling price − variable cost = 200 − 120 = R80.
  • Opportunity cost per unit = R80.
  • Minimum TP = 120 + 80 = R200.
  • Division B’s maximum TP still R210.

Feasible negotiation range: R200–R210. If transfer at R205, group profit vs external purchase:

  • If B buys externally:

    • A continues selling 40 000 externally:
      Contribution = 40 000 × 80 = 3 200 000
    • B pays external supplier 8 000 × 210 = 1 680 000 (cost to group).

  • If internal transfer:

    • A sells 32 000 externally + 8 000 internally:
      • External contribution: 32 000 × 80 = 2 560 000
      • Internal transfers at TP 205: from group view, transfer revenue and cost cancel.
    • B avoids external purchases (saving 1 680 000), but incurs internal transfer cost of 8 000 × 205 = 1 640 000 (paid to A). Group view:
      • Net group saving on purchase = 1 680 000 − 1 640 000 = 40 000.

Compare group profit:

  • External buy scenario: external contribution 3 200 000 − external purchase 1 680 000 = 1 520 000 net.
  • Internal transfer: external contribution 2 560 000 − internal transfer payments net to 0 (internal) − 0 external purchases = 2 560 000.

This seems inconsistent; in group terms, internal transfer at cost 120 ensures group profit difference is simply the lost contribution vs saved external purchase. To avoid confusion in exam, it’s clearer to compare only incremental cash flows:

In full capacity case:

  • If no internal transfer, B buys externally: group profit from A: 40 000 × 80 = 3 200 000.
    B pays external R210; if B’s selling price and other costs unchanged, that remains constant.
  • If internal transfer, A sells 32 000 externally: 32 000 × 80 = 2 560 000.
    A also produces 8 000 units for B, yields zero external contribution but variable cost 120 per unit.
    B avoids external cost 210 per unit but pays internal TP. On group base, TP cancels, and savings = (210 − 120) × 8 000 = 90 × 8 000 = 720 000. But group also lost external contribution of 80 × 8 000 = 640 000.
    Net group benefit = 720 000 − 640 000 = 80 000 (equivalent to opportunity cost per unit if TP < external price). In fact, with full capacity, group is indifferent between internal and external if TP = external price and incremental cost equals lost contribution.

In exam conditions:

  • Focus on minimum TP logic and whether transfer is beneficial at group level compared with external purchase.

5.4 Performance Measurement in Not-for-Profit and Public Sector

South African universities (e.g., UNISA MAC3701, UKZN, CUT) also examine performance measurement in public sector and NPO contexts:

  • Objectives are not solely profit; focus on:
    • Service delivery.
    • Efficiency and effectiveness.
    • Equity and access.

Measures:

  • Input measures: budgeted vs actual expenditure.
  • Output measures: number of patients treated, students taught, permits processed.
  • Outcome measures: health outcomes, literacy rates, crime reduction.

Challenges:

  • Difficulty in quantifying outcomes.
  • Multiple stakeholders with conflicting objectives.
  • Risk of gaming indicators (e.g., focusing on easy-to-serve clients to improve statistics).

Balanced scorecard can be adapted:

  • Financial: budget adherence, cost per service delivered.
  • Customer: citizen satisfaction surveys.
  • Internal processes: processing time, backlog levels.
  • Learning and growth: staff training, capacity building.

This MANA6212: Management Accounting 2B Study Guide provides structured, exam-oriented coverage aligned to Varsity College BCom Accounting and comparable modules at UNISA, CUT, and other South African universities. For exams, focus on mastering the calculations, understanding the logic behind each method, and being able to discuss strengths, weaknesses, and behavioural implications of the techniques covered.

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