Commercial Laundry Weight Calculator

Commercial Laundry Weight Calculator: Optimize Your Operations :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –secondary-text-color: #666; –border-color: #ccc; –input-bg: #fff; –shadow-color: rgba(0, 0, 0, 0.1); –container-max-width: 960px; } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 20px; display: flex; flex-direction: column; align-items: center; } .container { max-width: var(–container-max-width); width: 100%; background-color: #fff; padding: 30px; border-radius: 8px; box-shadow: 0 4px 15px var(–shadow-color); text-align: center; } h1, h2, h3 { color: var(–primary-color); margin-bottom: 15px; } h1 { font-size: 2.2em; } h2 { font-size: 1.8em; margin-top: 30px; border-bottom: 2px solid var(–primary-color); padding-bottom: 5px; } h3 { font-size: 1.4em; margin-top: 20px; } .calculator-section { margin-top: 30px; padding: 25px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–input-bg); } .calculator-section h2 { margin-top: 0; border-bottom: none; padding-bottom: 0; } .input-group { margin-bottom: 20px; text-align: left; } .input-group label { display: block; font-weight: bold; margin-bottom: 8px; color: var(–primary-color); } .input-group input[type="number"], .input-group input[type="text"], .input-group select { width: calc(100% – 20px); padding: 10px; border: 1px solid var(–border-color); border-radius: 5px; box-sizing: border-box; font-size: 1em; } .input-group .helper-text { font-size: 0.85em; color: var(–secondary-text-color); margin-top: 5px; } .error-message { color: red; font-size: 0.9em; margin-top: 5px; display: none; /* Hidden by default */ } button { background-color: var(–primary-color); color: white; border: none; padding: 12px 25px; border-radius: 5px; cursor: pointer; font-size: 1.1em; margin: 10px 5px; transition: background-color 0.3s ease; } button:hover { background-color: #003366; } button.secondary { background-color: #6c757d; } button.secondary:hover { background-color: #5a6268; } #results-container { margin-top: 30px; padding: 25px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–background-color); text-align: left; } #results-container h3 { margin-top: 0; color: var(–primary-color); border-bottom: 1px solid var(–border-color); padding-bottom: 10px; } .result-item { margin-bottom: 15px; } .result-item span:first-child { font-weight: bold; display: block; margin-bottom: 5px; color: var(–primary-color); } .result-item span:last-child { font-size: 1.5em; color: var(–success-color); font-weight: bold; } .primary-result { font-size: 2em !important; color: var(–success-color); background-color: #e0f7fa; padding: 15px; border-radius: 5px; text-align: center; margin-bottom: 20px; border: 2px dashed var(–success-color); } .formula-explanation { font-size: 0.9em; color: var(–secondary-text-color); margin-top: 20px; padding: 10px; background-color: #f1f1f1; border-left: 3px solid var(–primary-color); } table { width: 100%; border-collapse: collapse; margin-top: 25px; } th, td { border: 1px solid var(–border-color); padding: 10px; text-align: left; } th { background-color: var(–primary-color); color: white; } tr:nth-child(even) { background-color: #f2f2f2; } caption { font-size: 1.1em; font-weight: bold; color: var(–primary-color); margin-bottom: 10px; caption-side: top; text-align: left; } #chartContainer { margin-top: 25px; background-color: #fff; padding: 20px; border-radius: 8px; border: 1px solid var(–border-color); } #laundryChart { max-width: 100%; height: 350px; /* Fixed height for better consistency */ } .article-section { margin-top: 40px; padding: 30px; text-align: left; background-color: #fff; border-radius: 8px; box-shadow: 0 2px 10px var(–shadow-color); } .article-section p, .article-section ul, .article-section ol { margin-bottom: 15px; color: var(–text-color); } .article-section ul, .article-section ol { padding-left: 25px; } .article-section li { margin-bottom: 8px; } .article-section a { color: var(–primary-color); text-decoration: none; } .article-section a:hover { text-decoration: underline; } .faq-item { margin-bottom: 15px; } .faq-item h3 { margin-bottom: 5px; cursor: pointer; font-size: 1.2em; color: var(–primary-color); } .faq-item p { margin-top: 5px; display: none; /* Hidden by default */ color: var(–secondary-text-color); } .internal-links-list { list-style: none; padding: 0; margin-top: 20px; } .internal-links-list li { margin-bottom: 10px; } .internal-links-list a { font-weight: bold; } @media (max-width: 768px) { .container { padding: 20px; } h1 { font-size: 1.8em; } h2 { font-size: 1.5em; } button { width: 100%; margin: 5px 0; } #results-container, .calculator-section { padding: 15px; } .result-item span:last-child { font-size: 1.3em; } .primary-result { font-size: 1.7em !important; } }

Commercial Laundry Weight Calculator

Estimate the total weight of laundry processed by your commercial operation to improve resource management and operational efficiency.

Laundry Weight Calculator

Enter the average weight of a single laundry load in kilograms.
Enter the total number of laundry loads processed daily.
Enter the number of days your laundry operation runs each week.
Enter the number of weeks your laundry operation runs annually.

Calculation Results

Daily Laundry Weight — kg
Weekly Laundry Weight — kg
Annual Laundry Weight — kg
— kg

Total Estimated Annual Laundry Weight

Formula Used:

Daily Weight = Average Load Weight (kg) * Loads Per Day
Weekly Weight = Daily Weight * Operating Days Per Week
Annual Weight = Weekly Weight * Operating Weeks Per Year
Total Annual Weight is the main result.

Annual Laundry Weight Projection

Visualizing the projected annual laundry weight based on your inputs.

Laundry Weight Breakdown
Period Average Load Weight (kg) Loads Per Day Calculated Weight (kg)
Daily
Weekly
Annual

What is Commercial Laundry Weight?

The term commercial laundry weight refers to the aggregate mass of textiles that a commercial laundry facility processes over a specific period. This isn't just about the physical weight of wet or dry clothes; it's a critical operational metric that influences everything from utility consumption (water, energy) and chemical usage to equipment wear and tear, staffing requirements, and transportation logistics. Understanding and accurately calculating your commercial laundry weight is fundamental for effective business management in sectors like hospitality, healthcare, industrial services, and direct-to-consumer laundry services.

Who Should Use It: Any business that operates a commercial laundry facility or outsources its laundry services should monitor commercial laundry weight. This includes hotels, hospitals, care homes, gyms, spas, airlines, uniform rental companies, and large-scale laundromats. By tracking this metric, managers can identify trends, budget more effectively, and ensure profitability.

Common Misconceptions: A frequent misconception is that laundry weight is a static figure. In reality, it fluctuates based on seasonality, client demand, the types of textiles being processed (e.g., heavy linens vs. light garments), and the efficiency of washing cycles. Another is that it's merely a logistical concern; however, it directly impacts operational costs and can be a key performance indicator (KPI) for efficiency improvements. Accurately measuring commercial laundry weight helps debunk these myths.

Commercial Laundry Weight Formula and Mathematical Explanation

Calculating the estimated commercial laundry weight is a straightforward, yet powerful, process. It involves multiplying the average weight of a single laundry load by the number of loads processed over your desired timeframe. We break this down into daily, weekly, and annual figures for comprehensive analysis.

The Core Calculation Steps:

  1. Determine Average Load Weight: Measure the weight of several typical laundry loads (both before and after washing/drying, though for capacity planning, pre-wash weight is often more relevant for processing). Calculate the average weight in kilograms.
  2. Count Loads Per Day: Track or estimate the total number of laundry loads processed within a single operating day.
  3. Calculate Daily Weight: Multiply the Average Load Weight by the Loads Per Day.
  4. Determine Operating Days Per Week: Count how many days your laundry facility operates each week.
  5. Calculate Weekly Weight: Multiply the Daily Weight by the Operating Days Per Week.
  6. Determine Operating Weeks Per Year: Count how many weeks your facility operates throughout the year.
  7. Calculate Annual Weight: Multiply the Weekly Weight by the Operating Weeks Per Year. This gives you the Total Estimated Annual Laundry Weight.

Variables Explained:

The calculation relies on several key variables:

  • Average Load Weight (kg): The typical weight of a single batch of laundry, measured in kilograms.
  • Loads Processed Per Day: The total number of distinct laundry loads handled within one operating day.
  • Operating Days Per Week: The number of days per week the laundry service is active.
  • Operating Weeks Per Year: The total number of weeks the laundry service functions annually.

Variable Details Table:

Laundry Weight Variables
Variable Meaning Unit Typical Range
Average Load Weight Mean weight of a single laundry batch. Kilograms (kg) 5 kg – 25 kg (varies greatly by item type)
Loads Per Day Number of distinct laundry batches processed daily. Count 10 – 200+
Operating Days Per Week Days laundry service is active weekly. Days 1 – 7
Operating Weeks Per Year Total weeks of operation annually. Weeks 1 – 52

By inputting these values into our commercial laundry weight calculator, you can get a clear estimate of your operational volume.

Practical Examples (Real-World Use Cases)

Let's look at how different commercial laundry scenarios can be analyzed using the commercial laundry weight calculator.

Example 1: Mid-Size Hotel Laundry

A 150-room hotel with an in-house laundry service processes linens, towels, and staff uniforms.

  • Inputs:
    • Average Load Weight: 7 kg
    • Loads Processed Per Day: 60
    • Operating Days Per Week: 7
    • Operating Weeks Per Year: 52
  • Calculator Output:
    • Daily Weight: 420 kg
    • Weekly Weight: 2,940 kg
    • Annual Weight: 152,880 kg
    • Total Estimated Annual Laundry Weight: 152,880 kg
  • Interpretation: This hotel processes a significant volume of laundry annually. This figure is crucial for budgeting laundry chemicals, energy costs, water usage, and for negotiating better rates with linen suppliers or equipment maintenance providers. It also helps justify staffing levels.

Example 2: Small Gym Laundry Service

A local gym that offers towel service and washes yoga mats.

  • Inputs:
    • Average Load Weight: 5 kg
    • Loads Processed Per Day: 25
    • Operating Days Per Week: 6
    • Operating Weeks Per Year: 50
  • Calculator Output:
    • Daily Weight: 125 kg
    • Weekly Weight: 750 kg
    • Annual Weight: 37,500 kg
    • Total Estimated Annual Laundry Weight: 37,500 kg
  • Interpretation: While smaller in volume than the hotel, this gym's annual laundry weight still represents a substantial operational cost. This calculation aids in cost-per-member analysis and ensures they are not overspending on resources compared to the laundry output.

These examples illustrate how the commercial laundry weight calculator provides actionable data for businesses of all sizes.

How to Use This Commercial Laundry Weight Calculator

Our commercial laundry weight calculator is designed for ease of use and provides instant insights. Follow these simple steps to get your operational weight estimate.

  1. Input Average Load Weight: Enter the typical weight of a single load of laundry in kilograms (kg). If you're unsure, weigh a few representative loads (e.g., a basket of towels, a bundle of sheets) and average them.
  2. Enter Loads Per Day: Input the total number of laundry loads your facility processes within one standard operating day.
  3. Specify Operating Days Per Week: Enter how many days per week your laundry service is active.
  4. Define Operating Weeks Per Year: Enter the total number of weeks your facility operates throughout the year.
  5. Click 'Calculate Weight': Once all fields are populated, click the button. The calculator will instantly display your estimated daily, weekly, and annual laundry weights. The most prominent figure is your Total Estimated Annual Laundry Weight.

How to Read Results:

  • Daily, Weekly, Annual Weights: These figures show the cumulative weight processed over these periods, helping you track trends and immediate needs.
  • Total Estimated Annual Laundry Weight: This is the primary result, providing a comprehensive annual volume. It's your key metric for long-term planning, budgeting, and efficiency analysis.
  • Table Breakdown: The table provides a detailed view of the calculated weights at each stage, reinforcing the formula's application.
  • Chart Visualization: The chart offers a visual representation of how the weight accumulates over the year, making it easier to grasp the scale of operations.

Decision-Making Guidance:

Use these results to:

  • Budgeting: Estimate costs for water, electricity, gas, laundry chemicals, and detergents based on projected weight.
  • Resource Allocation: Determine if you have sufficient machinery, staff, and storage capacity.
  • Efficiency Improvements: Benchmark your current weight processing and identify opportunities to optimize load sizes or reduce processing times.
  • Supplier Negotiations: Use your total annual weight to negotiate bulk discounts on supplies or services.

The commercial laundry weight calculator is a tool to inform, not dictate. Use its outputs alongside other operational data for the best strategic decisions.

Key Factors That Affect Commercial Laundry Weight Results

While the commercial laundry weight calculator provides a solid estimate, several real-world factors can influence the actual weight processed. Understanding these nuances helps in refining your calculations and operational strategies.

  1. Type of Linens and Garments: Heavier items like thick towels, blankets, and durable work uniforms will increase the average load weight compared to lighter items such as sheets or small garments. A facility processing mainly bulky items will naturally have a higher weight per load.
  2. Load Factor and Machine Capacity: Operators might under- or over-fill machines. An optimal load factor (filling machines efficiently without overloading) impacts both the number of loads and potentially the weight per load if done inconsistently. Overloading can lead to poor cleaning and increased wear.
  3. Moisture Content: Laundry weight significantly changes between wet and dry states. The calculator typically estimates based on typical operational weight, which might be wet weight during processing. Accurate measurement requires consistency.
  4. Seasonality and Demand Fluctuations: Hotels experience peak seasons, gyms see more traffic in colder months, and healthcare facilities maintain consistent but potentially higher needs during flu seasons. These fluctuations directly impact the "Loads Processed Per Day" and thus the total commercial laundry weight.
  5. Service Level Agreements (SLAs) and Client Needs: Different clients have varying requirements. A high-end hotel might request more frequent linen changes or higher quality towels, impacting the volume and weight. Healthcare facilities have stringent hygiene standards that can affect cycle types and potentially load weights.
  6. Operational Efficiency and Downtime: Machine breakdowns, staff shortages, or inefficient workflows can reduce the number of loads processed per day. Conversely, optimized processes might allow for more loads, increasing the total weight handled within the same timeframe. Regular maintenance is key to consistent output.
  7. Water and Chemical Usage Policies: While not directly impacting weight, policies related to water conservation or specific cleaning protocols might indirectly influence how loads are batched or processed, potentially affecting the average load weight or total cycles.

Considering these factors allows for more accurate projections and better management of resources associated with your commercial laundry weight.

Frequently Asked Questions (FAQ)

What is the most accurate way to measure average load weight?

The most accurate method is to use a calibrated scale. Weigh several typical loads before they are washed (dry weight) and calculate the average. Alternatively, if you track water usage per machine cycle, you can estimate based on fill levels and fabric absorption, though direct weighing is preferred.

Does the calculator account for different types of fabrics?

The calculator uses an 'average' load weight. Different fabrics have different densities and absorbency. For highly variable operations, consider running separate calculations for distinct categories (e.g., heavy linens vs. light uniforms) or refining your average based on the predominant fabric types processed.

How often should I update my calculator inputs?

It's advisable to review and update your inputs at least quarterly or semi-annually. Major changes in business volume, client types, or operational procedures warrant an immediate recalculation.

Can this calculator be used for cost analysis?

Yes, the total annual commercial laundry weight is an excellent baseline for cost analysis. You can then divide your total costs for utilities, chemicals, and labor by this weight to determine your cost per kilogram of laundry processed.

What if my operation runs 24/7?

If your operation runs continuously, simply input '24' for the hours of operation within a 'day' context, or adjust your 'Loads Per Day' to reflect the total throughput over a 24-hour period. The calculator focuses on daily, weekly, and annual totals.

Is it better to calculate based on wet or dry weight?

For planning processing capacity (machines, staff), wet weight is often more relevant as it represents the load during the wash cycle. For inventory or chemical usage analysis, dry weight might be more appropriate. Be consistent with your chosen metric. The calculator assumes a consistent 'average load weight' measurement.

How does this differ from calculating laundry volume?

Volume (e.g., cubic meters) measures the space laundry occupies, while weight measures its mass. Both are important, but weight is more directly linked to the energy required for transport, the stress on machinery, and the consumption of water and chemicals per unit of mass processed.

What if I outsource my laundry?

If you outsource, tracking your estimated commercial laundry weight helps you negotiate better contracts with your service provider. You can use this calculator to estimate your volume and compare quotes or assess if current pricing aligns with your operational output.

Related Tools and Internal Resources

© 2023 Your Company Name. All rights reserved.

var canvas = document.getElementById("laundryChart"); var ctx = canvas.getContext("2d"); var chartData = { labels: ["Daily", "Weekly", "Annual"], datasets: [{ label: 'Estimated Laundry Weight (kg)', data: [0, 0, 0], backgroundColor: 'rgba(0, 74, 153, 0.6)', borderColor: 'rgba(0, 74, 153, 1)', borderWidth: 1 }] }; var chartOptions = { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Weight (kg)' } } }, plugins: { legend: { display: true, position: 'top' }, title: { display: true, text: 'Projected Laundry Weight Over Time' } } }; var laundryChart = new Chart(ctx, { type: 'bar', data: chartData, options: chartOptions }); function calculateLaundryWeight() { var avgLoadWeight = parseFloat(document.getElementById("avgLoadWeight").value); var loadsPerDay = parseFloat(document.getElementById("loadsPerDay").value); var operatingDaysPerWeek = parseFloat(document.getElementById("operatingDaysPerWeek").value); var weeksPerYear = parseFloat(document.getElementById("weeksPerYear").value); var dailyWeight, weeklyWeight, annualWeight, totalAnnualWeight; var isValid = true; // Input validation if (isNaN(avgLoadWeight) || avgLoadWeight <= 0) { document.getElementById("avgLoadWeightError").innerText = "Please enter a valid positive number for average load weight."; document.getElementById("avgLoadWeightError").style.display = "block"; isValid = false; } else { document.getElementById("avgLoadWeightError").innerText = ""; document.getElementById("avgLoadWeightError").style.display = "none"; } if (isNaN(loadsPerDay) || loadsPerDay <= 0) { document.getElementById("loadsPerDayError").innerText = "Please enter a valid positive number for loads per day."; document.getElementById("loadsPerDayError").style.display = "block"; isValid = false; } else { document.getElementById("loadsPerDayError").innerText = ""; document.getElementById("loadsPerDayError").style.display = "none"; } if (isNaN(operatingDaysPerWeek) || operatingDaysPerWeek 7) { document.getElementById("operatingDaysPerWeekError").innerText = "Please enter a valid number between 1 and 7."; document.getElementById("operatingDaysPerWeekError").style.display = "block"; isValid = false; } else { document.getElementById("operatingDaysPerWeekError").innerText = ""; document.getElementById("operatingDaysPerWeekError").style.display = "none"; } if (isNaN(weeksPerYear) || weeksPerYear 52) { document.getElementById("weeksPerYearError").innerText = "Please enter a valid number between 1 and 52."; document.getElementById("weeksPerYearError").style.display = "block"; isValid = false; } else { document.getElementById("weeksPerYearError").innerText = ""; document.getElementById("weeksPerYearError").style.display = "none"; } if (!isValid) { // Clear results if invalid document.getElementById("dailyWeight").innerText = "– kg"; document.getElementById("weeklyWeight").innerText = "– kg"; document.getElementById("annualWeight").innerText = "– kg"; document.getElementById("totalAnnualWeight").innerText = "– kg"; updateChart([0,0,0]); updateTableData('–','–','–','–','–','–','–','–','–'); return; } // Calculations dailyWeight = avgLoadWeight * loadsPerDay; weeklyWeight = dailyWeight * operatingDaysPerWeek; annualWeight = weeklyWeight * weeksPerYear; totalAnnualWeight = annualWeight; // Main result // Display Results document.getElementById("dailyWeight").innerText = dailyWeight.toFixed(2) + " kg"; document.getElementById("weeklyWeight").innerText = weeklyWeight.toFixed(2) + " kg"; document.getElementById("annualWeight").innerText = annualWeight.toFixed(2) + " kg"; document.getElementById("totalAnnualWeight").innerText = totalAnnualWeight.toFixed(2) + " kg"; // Update Chart updateChart([dailyWeight, weeklyWeight, totalAnnualWeight]); // Update Table updateTableData( avgLoadWeight.toFixed(2), // Daily Avg Load loadsPerDay.toFixed(2), // Daily Loads dailyWeight.toFixed(2), // Daily Weight avgLoadWeight.toFixed(2), // Weekly Avg Load (same as daily for simplicity in this breakdown) (loadsPerDay * operatingDaysPerWeek).toFixed(2), // Weekly Loads (total loads over week) weeklyWeight.toFixed(2), // Weekly Weight avgLoadWeight.toFixed(2), // Annual Avg Load (same as daily for simplicity) (loadsPerDay * operatingDaysPerWeek * weeksPerYear).toFixed(2), // Annual Loads (total loads over year) totalAnnualWeight.toFixed(2) // Annual Weight ); } function updateChart(data) { laundryChart.data.datasets[0].data = data; laundryChart.update(); } function updateTableData(dailyAvgLoad, dailyLoads, dailyWeight, weeklyAvgLoad, weeklyLoads, weeklyWeight, annualAvgLoad, annualLoads, annualWeight) { document.getElementById("tableDailyAvgLoad").innerText = dailyAvgLoad; document.getElementById("tableDailyLoads").innerText = dailyLoads; document.getElementById("tableDailyWeight").innerText = dailyWeight; // For simplicity in table, we repeat avg load weight but calculate total loads for the period document.getElementById("tableWeeklyAvgLoad").innerText = dailyAvgLoad; // Displaying the base avg load document.getElementById("tableWeeklyLoads").innerText = weeklyLoads; // This is total loads for the week document.getElementById("tableWeeklyWeight").innerText = weeklyWeight; document.getElementById("tableAnnualAvgLoad").innerText = dailyAvgLoad; // Displaying the base avg load document.getElementById("tableAnnualLoads").innerText = annualLoads; // This is total loads for the year document.getElementById("tableAnnualWeight").innerText = annualWeight; } function resetCalculator() { document.getElementById("avgLoadWeight").value = 8; document.getElementById("loadsPerDay").value = 50; document.getElementById("operatingDaysPerWeek").value = 5; document.getElementById("weeksPerYear").value = 50; // Clear error messages document.getElementById("avgLoadWeightError").innerText = ""; document.getElementById("avgLoadWeightError").style.display = "none"; document.getElementById("loadsPerDayError").innerText = ""; document.getElementById("loadsPerDayError").style.display = "none"; document.getElementById("operatingDaysPerWeekError").innerText = ""; document.getElementById("operatingDaysPerWeekError").style.display = "none"; document.getElementById("weeksPerYearError").innerText = ""; document.getElementById("weeksPerYearError").style.display = "none"; calculateLaundryWeight(); // Recalculate with default values } function copyResults() { var dailyWeight = document.getElementById("dailyWeight").innerText; var weeklyWeight = document.getElementById("weeklyWeight").innerText; var annualWeight = document.getElementById("annualWeight").innerText; var totalAnnualWeight = document.getElementById("totalAnnualWeight").innerText; var avgLoadWeight = document.getElementById("avgLoadWeight").value; var loadsPerDay = document.getElementById("loadsPerDay").value; var operatingDaysPerWeek = document.getElementById("operatingDaysPerWeek").value; var weeksPerYear = document.getElementById("weeksPerYear").value; var assumptions = "Key Assumptions:\n" + "- Average Load Weight: " + avgLoadWeight + " kg\n" + "- Loads Per Day: " + loadsPerDay + "\n" + "- Operating Days Per Week: " + operatingDaysPerWeek + "\n" + "- Operating Weeks Per Year: " + weeksPerYear + "\n"; var resultText = "Commercial Laundry Weight Calculation Results:\n\n" + "Daily Laundry Weight: " + dailyWeight + "\n" + "Weekly Laundry Weight: " + weeklyWeight + "\n" + "Annual Laundry Weight: " + annualWeight + "\n" + "—————————–\n" + "Total Estimated Annual Laundry Weight: " + totalAnnualWeight + "\n\n" + assumptions; // Use navigator.clipboard for modern browsers, fallback for older ones if (navigator.clipboard && navigator.clipboard.writeText) { navigator.clipboard.writeText(resultText).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy text: ', err); fallbackCopyTextToClipboard(resultText); }); } else { fallbackCopyTextToClipboard(resultText); } } function fallbackCopyTextToClipboard(text) { var textArea = document.createElement("textarea"); textArea.value = text; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.left = "-9999px"; textArea.style.top = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'successful' : 'unsuccessful'; alert('Results copied to clipboard! (' + msg + ')'); } catch (err) { alert('Oops, unable to copy'); } document.body.removeChild(textArea); } function toggleFaq(element) { var content = element.nextElementSibling; var allContents = element.parentNode.parentNode.querySelectorAll('.faq-item p'); allContents.forEach(function(p) { if (p !== content && p.style.display === "block") { p.style.display = "none"; p.previousElementSibling.style.cursor = "pointer"; } }); if (content.style.display === "block") { content.style.display = "none"; element.style.cursor = "pointer"; } else { content.style.display = "block"; element.style.cursor = "default"; } } // Initial calculation on page load window.onload = function() { calculateLaundryWeight(); };

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