Capacity Utilisation: Bottlenecks, Profit and Capex

State what the utilisation percentage measures

Nameplate capacity describes a rated output under specified conditions. Practical available capacity reflects the planned shifts, maintenance and other supported constraints. A production bottleneck can reduce the system’s useful capacity further. Use the same time period, product mix, unit and quality standard in the numerator and denominator.

Separate scheduled hours, running time, speed, yield and saleable output. More pieces produced do not necessarily mean more good customer deliveries. Product mix can consume different processing times, so total pieces can hide a heavily loaded bottleneck. Compare bottleneck hours or standard equivalent units where that better describes the actual constraint.

Capacity utilisation is also different from inventory-cost allocation. Within its scope, Ind AS 2 paragraph 13 deals with fixed production-overhead allocation using normal capacity; low output or idle plant does not justify increasing fixed overhead allocated per unit in that calculation. This management guide does not replace the applicable accounting policy with a nameplate-capacity ratio.

Find the constraint before buying another line

A hypothetical factory’s main production line is rated at 10,000 units per month. Planned availability supports 8,000, but final testing limits the system to 6,000 good units. Current production and sales are both 5,400; there is no finished-goods inventory change. Assume a consistent product and quality basis.

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Reporting only 54% might suggest abundant spare output capacity. In fact, only 600 further good units fit the testing limit. Suppose supported recurring demand rises to 6,500 units. An additional upstream line costing ₹40 lakh does not increase good deliveries if testing remains capped at 6,000. Its economics need a different explanation from “we added rated units.”

Assume a ₹12 lakh testing investment can instead raise system capacity to 7,500 good units. Verify commissioning, staff, utilities, upstream supply and customer acceptance before relying on that result. The 6,500-unit demand case would use 86.67% of the expanded system: a lower percentage than the old system’s 90% current use, while delivering more sales. A changing denominator makes a simple percentage comparison insufficient.

Use the feasible no-capex case as the comparison

Assume selling price ₹1,200, variable cost ₹700 and contribution ₹500 per unit. Existing monthly fixed operating expense is ₹18 lakh, including ₹3 lakh depreciation. Existing capacity can reach 6,000 units without additional fixed cost. The testing investment adds ₹1 lakh monthly operating cash cost and ₹0.25 lakh depreciation; the latter assumes ₹12 lakh depreciated over 48 months with no residual value for this illustration.

Assume all output is sold, prices and variable costs remain unchanged, no additional step costs arise within the shown range and demand supports the forecast. Interest, income tax and owner distributions are excluded.

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The investment adds ₹1.25 lakh monthly operating profit over the feasible 6,000-unit no-capex case, not ₹4.25 lakh. The latter comparison would also credit the investment with the 600-unit improvement already achievable without it. Identify the true alternative before claiming the project’s benefit.

Extra fixed expense is ₹1.25 lakh. At ₹500 contribution per extra unit, the investment needs 250 sales above the no-capex 6,000 to cover that expense: 6,250 total units. This is an incremental operating-profit threshold under the model, not a complete investment valuation or an assertion that 6,250 orders exist.

At 6,500 units, incremental monthly operating cash before working-capital changes is ₹2.50 lakh extra contribution less ₹1 lakh extra cash operating cost = ₹1.50 lakh. Assume the expansion also needs ₹4 lakh additional net working capital. The initial funding requirement is ₹12 lakh capex + ₹4 lakh working capital = ₹16 lakh before other flows. Positive profit does not provide that upfront cash automatically.

What the approval should establish

1. Demand: identify orders, customer terms, sustainable mix and the downside if demand stays at 6,000 units. Pipeline is not the same as committed delivery.
2. System throughput: test every linked operation, supplier, utility and quality gate. A new bottleneck can emerge after the old one is removed.
3. Ramp and downtime: schedule installation, training, trial production, rejected units and planned disruption to the existing line.
4. Cost and cash: include maintenance, staffing, energy, insurance, working capital and settlement dates. Separate capex cash from depreciation expense.
5. Alternatives: compare scheduling, overtime, maintenance, outsourcing and debottlenecking with the same quality and delivery requirements.
6. Verification: assign owners for usable capacity, orders, operating cost and cash. Compare actual good units and collections with the approved assumptions after commissioning.

Does higher utilisation always improve value?

No. Producing unwanted stock can increase utilisation while absorbing cash and creating obsolescence. Growth that requires heavy discounts, rework or expensive funding can also weaken the outcome.

Is the incremental profit threshold enough to approve capex?

No. Evaluate the full dated project cash flows, useful life, risk, funding and alternatives using a consistent investment method. The operating model identifies the drivers; it does not replace that decision.