Choosing a washer-size mix: cycles, customer demand and installed costs

Observe the loads customers actually need to wash

Record machine use by size and time slot, unavailable machines, waits, customers splitting loads, bulky textiles and competing prices. Include quieter periods as well as weekend peaks. Ask whether a customer is choosing a larger machine for consolidation, fabric space or lack of available small machines. Rated pounds, dry load weight and usable space for bulky items are different observations; a full-looking comforter is not necessarily a rated-weight load.

Document location, dates, counted hours and limits. Apartment laundry access, parking, walking routes and competitor condition can help form hypotheses, but this article contains no measured local market or guaranteed turns/day. The illustrative case is a leased self-service format without wash-and-fold, dry cleaning or delivery; demand from those services cannot be added to justify more large machines.

Make a complete machine schedule for each candidate

The base schedule is 12 twenty-pound, eight forty-pound and four sixty-pound washers. It has 24 installed machines and 800 lb of rated capacity per complete fill. An alternative with eight twenty-pound, ten forty-pound and six sixty-pound machines keeps 24 cabinets but increases rated capacity to 920 lb. It changes neither the number of customers nor proof of their preferred load sizes.

T-300, T-600 and T-900 sheets identify these reference models. Request the exact current model, controls, extraction, voltage, dimensions, anchors, connections and compatible readers. Alternative cabinet placement must preserve circulation and service access; “same number of machines” does not mean identical installation scope.

Hold demand constant before claiming a revenue gain

In the base unseasonal mature day, paid wash demand is 43.2 twenty-pound, 30.4 forty-pound and 13.6 sixty-pound cycles. Those figures arise from assumed installed quantities × 3.6/3.8/3.4 paid turns. If the same customers want the same size loads after the mix changes, total daily wash sales stay $608.80. The alternative machines simply spread the same demand across fewer small and more large cabinets.

The smaller fleet may intensify a small-machine queue while the new large machines sit quiet. Because demand by size is held constant, wash gallons and expected drying pounds also stay unchanged in this simple comparison. Revenue only changes if customers substitute sizes, pay different prices or the new capacity recovers previously unserved demand. Measure and state that mechanism rather than multiplying every additional cabinet by assumed turns.

Cost the marginal change as an installed project

Using the same unquoted unit allowances, the alternative washer fleet is $247,000, compared with base $222,000. Machine-price difference is $25,000. Applying this case’s tax allowance and spent contingency to that difference gives $29,250 of extra modeled installed CAPEX before any changed drains, slab, pipes, electrical work, delivery or dryer configuration. This is a partial incremental calculation, not an accepted installation quote.

Ask the trades whether the new layout changes simultaneous fill/discharge, anchor/slab needs, troughs, hot-water recovery or circuit routes. If external service was already near its limit, a small fleet change can trigger a discontinuous upgrade. Compare accepted complete bids with the same scope, then rebuild sources/uses and monthly cash. Financing the marginal machines can increase debt service even if demand and gross sales stay unchanged.

A new supplier quote replaces the old allowance; it is not added on top of it. Do not use an unrelated used-machine asking price to price this new standard fleet. The startup-cost guide separates equipment, trade connections, delivery, tax, spent contingency and cash reserve to avoid those overlaps.

Translate large-load demand into dryer minutes and utilities

The base model assumes actual dry load at 70.0% of washer rating, 85.0% of washed pounds entering dryers, and 24 lb average fill in each 30-lb pocket. A 60-lb washer’s expected 42-lb dry load can use more than one pocket. Comparing washer cycles to an equal number of dryer cycles would therefore understate the attachment.

The dryer specification supplies rated capacity and gas/airflow inputs. Runtime and fill are separate assumptions. Faster extraction, fabric mix, damp bulky items or lower average dryer loading can change paid minutes and energy use. A higher dryer vend can improve revenue while discouraging attachment; do not hold both constant without an explicit reason.

Water usage is size- and program-specific. If actual demand remains constant, this example’s usage remains constant too; if the additional large-machine demand is real, heater, sewer and peak dryer capacity must be retested. Service sizing uses nameplates and engineered concurrent demand, not the financial model’s average monthly burner duty.

Label the additional-demand case as a hypothesis

If every alternative machine achieves the original assumed 3.6/3.8/3.4 turns per day, wash sales become $672.40, a gain of $63.60 per unseasonal day before refunds. That scenario changes demand by size: fewer small-machine cycles and more medium/large cycles. It is not the result of holding demand constant, and it is not demonstrated by capacity arithmetic.

Test the hypothesis using observed unmet large-load demand, documented customer substitution or a controlled operating pilot. Price the whole changed project and compute utilities, dryer minutes, paid coverage, taxes and debt before comparing returns. The alternative table is a procurement study, not a fourth executed 60-month scenario or a revision to the baseline guides.

Record the decision so it can be checked later

Keep each candidate layout, exact fleet configuration, supplier/trade quote versions, observed demand by size/time slot, assumed substitution and the calculated cost/volume change in one decision file. Preserve rejected alternatives and their reason: a queued small-machine segment, excess idle large capacity, an external utility upgrade or inadequate cash after financing may decide the mix.

Read the unit-economics guide for the blended contribution and peak-capacity limits. Then use the monthly profitability case to test recovery and cash rather than selecting the largest vend price. A local price comparison also needs scope: the observed Rochester ladder is useful for explaining size-based pricing, but it does not validate Florida demand or the selected store’s ability to charge the modeled prices.