Laundry equipment should be compared over the work it will perform, not by purchase price alone. Review Feathers Hospitality’s management approach, see the operational platform, and speak with the team about asset planning.
A lifecycle comparison makes assumptions visible: expected loads, utilities, staffing, maintenance, downtime and service life. It does not guarantee a return; it gives the owner a consistent basis for comparing equipment, repair and outsourcing options.
- Use the same workload, horizon, currency and included costs for each option.
- Model the property’s own water, energy and labour conditions.
- Test supplier assumptions and include downtime, maintenance and replacement.
Set the boundary and workload
Decide which decision is being compared: repair existing machines, replace one unit, upgrade a complete laundry, lease equipment or outsource some work. Define which stages are included, from purchase and installation to maintenance and end-of-life. Use a consistent analysis period and state whether amounts are nominal or adjusted for expected price changes.
Build a workload from actual linen volume, operating days, cycle mix, peak demand and seasonality. A washer sized for an average week may not cope with turnover peaks; a larger machine may sit underused for much of the year. Separate hotel-owned linen from any external laundry contracts. Record what is measured, estimated or missing so alternatives do not quietly use different assumptions.
Calculate purchase and utility costs
Include equipment, delivery, installation, connections, water treatment, ventilation, training and any building work. Then estimate water, wastewater, energy and consumables using the property’s own tariffs and expected cycles. The US Department of Energy describes laundry as a water-intensive process in its federal-facility guidance, while the EU EMAS accommodation reference includes resource-management practices. Neither source provides a hotel-specific savings guarantee or a tariff estimate for your site.
Ask suppliers to state the test conditions behind efficiency claims: load size, program, temperature, cycle time and assumed utility price. Compare those conditions with how the hotel actually operates. Calculate more than one case if tariffs or volumes are uncertain. Do not multiply a supplier’s percentage saving by every invoice if the relevant equipment accounts for only part of that bill.
Include labour, maintenance and reliability
Compare time spent sorting, loading, transferring, folding and handling exceptions, while considering what tasks remain even with new equipment. A faster cycle may help at peak times but may not reduce staffing if opening hours or service standards require the same coverage. Include training, consumables, preventive service, parts, call-out terms and expected maintenance downtime.
Reliability affects guest operations: a failed machine can delay room turns or force emergency outsourcing. Estimate the cost of an outage using the property’s own history and contingency arrangement, and avoid treating an exceptional incident as the normal rate. Ask vendors what response time and parts availability are included, what is excluded and how warranty work is recorded.
Compare ownership and alternatives
A purchase, lease and outsourced service allocate costs and risks differently. A lease may bundle maintenance but impose term, usage or return conditions. Outsourcing can reduce on-site equipment needs but introduces transport, collection windows, quality controls and dependence on a provider. Compare the full service boundary, including linen ownership, loss, rewash, delivery and the staff time needed to manage the arrangement.
Use a common table with capital cost, utility cost, labour, service, downtime, throughput, expected life and residual or disposal cost. The US EPA WaterSense laundry guide outlines categories such as water, wastewater and energy for evaluating equipment. Its US examples and tariffs may not match local conditions; use the framework, then substitute verified property and supplier data.
Run sensitivities and document the decision
Calculate each option over the same time horizon and workload. Test lower and higher usage, tariff changes, service-life uncertainty and a plausible repair event. Show which assumption changes the ranking. If an option only looks preferable under an optimistic cycle count or full staffing reduction, say so. Avoid presenting payback as certain when useful life, load or cost data are still estimated.
Document who owns the decision, the evidence reviewed and the conditions that would trigger another comparison. After purchase or contract renewal, track actual cycles, utilities, repair events and service interruptions against the estimates. This creates a better baseline for the next decision and helps identify whether the issue was equipment, process, training or capacity rather than attributing every variance to the machine.
Frequently asked questions
Should the cheapest machine win?
Not automatically. Compare total cost and operating fit over the same workload and period, including utilities, service, labour, reliability and any building changes.
Can energy or water savings be guaranteed from a model sheet?
Only if the contract defines measurable conditions and remedies. Treat model-sheet savings as assumptions until they are tested against the property’s workload and tariffs.