Unit: Advanced Management Accounting
12 Questions| Division | Beta division Sh. | Optima division Sh. |
| Market price per “token metre” | 1,500 | |
| Transfer price per token metre to Optima division | 900 | |
| Market price per gas cylinder | 6,500 | |
| Variable costs per gas cylinder | 2,500 | |
| Direct labour cost per labour hour | 150 | |
| Direct material cost per token metre | 250 | |
| Variable overheads per labour hour | 100 | - |
| Fixed cost per annum | 150,000,000 | 392,000,000 |
| 1. | The variable cost for a gas cylinder excludes the cost of the “token metre”. |
| 2. | The first unit of a token metre will take 20 labour hours to produce. However, it is known that the work of direct labour is subject to an 85% learning curve rate. This will apply to all 260,000 “token meter” production capacity. |
| 3. | Optima division will continue to outsource 40,000 token metres from an external supplier at a price of Sh.1,600 to eliminate the deficiency from internal transfer. |
| 4. | Optima division has a target profit of Sh.180 million. |
| 5. | The forecast external sales and production capacity level for the division are as follows: |
| 5. | External sales | Production capacity | |
| Beta division | 100,000 token metres | 260,000 token metres | |
| Optima division | 200,000 cylinders | 300,000 cylinders |
| Predictor | Coefficient | SE Coef | t |
| Constant | 0.93050 | 0.3670 | \(X_a\) |
| Months | 0.38762 | \(X_b\) | 6.20 |
| Type | \(X_c\) | 0.3141 | 4.02 |
| S = 0.459048 | R – Sq = 85.94% | R Sq (adj) = 81.9% |
| Source | DF | SS | MS | F |
| Regression | 2 | 9.0009 | \(X_d\) | 21.36 |
| Residual error | 7 | \(X_e\) | 0.2107 | |
| Total | 9 | 10.4760 |
| Order policy | Units of product “X” ordered |
| Order twice monthly | 500 units per order |
| Order monthly | 1,000 units per order |
| Order quarterly | 3,000 units per order |
| Order semi-annually | 6,000 units per order |
| Order annually | 12,000 units per order |
| Type of clothes made | Shirts “Sh. Per unit” | Suits “Sh. Per unit” | Jeans “Sh. Per unit” |
| Selling price | 1,600 | 10,000 | 4,000 |
| Direct material (Sh.800 per \(\text{m}^2\)) | 400 | 4,000 | 1,200 |
| Direct labour (Sh.480 per hour) | 480 | 1,440 | 1,080 |
| Variable overheads (Sh.120 per machine hour) | 120 | 360 | 280 |
| Budgeted demand in September 2024 (units) | 6,000 | 2,000 | 4,000 |
| Probability | High | Medium | Low | ||
| Test | Successful.launch | 0.60 | 0.60 | 0.15 | 0.25 |
| marketing | Unsuccessful.launch | 0.40 | 0.10 | 0.40 | 0.50 |
| Division | Subunit X Sh.“000” | Subunit Y Sh.“000” |
| Sales turnover | 875,000 | 1,368,000 |
| Less cost of sales: | ||
| Variable costs | (342,500) | (454,000) |
| Contribution | 532,500 | 914,000 |
| Controllable fixed cost | (450,000) | (800,000) |
| Operating income | 82,500 | 114,000 |
| Sh.“000” | Sh.“000” | |
| Average total assets | 250,000 | 456,000 |
| Current liabilities | (62,000) | (268,000) |
| Capital employed | 188,000 | 188,000 |
| Cost of capital | 12% | 12% |
| Target rate of return | 16% | 16% |
| Tax rate | 30% | 30% |
| Division | Subunit X | Subunit Y |
| Residual income | Sh.30 million | Sh.30 million |
| Return on investment | 25% | 20% |
| Economic value added | Sh.33 million | Sh.55 million |
| Asset turnover ratio | 2.36 | 4.12 |
| 2022 Sh.“000” | 2023 Sh.“000” | |
| Sales revenue | 13,000,000 | 20,000,000 |
| Evaluating and selecting suppliers | 154,000 | 600,000 |
| Treating and disposing of toxic materials | 500,000 | 800,000 |
| Inspecting process for regulatory conformance | 450,000 | 300,000 |
| Restoration cost of carbon emissions | 1,350,000 | 1,200,000 |
| Recycling scrap cost | 550,000 | 300,000 |
| Testing for contaminants | 88,000 | 100,000 |
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