Calculator Eoq

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Economic Order Quantity (EOQ) Calculator

Optimize your inventory levels and minimize costs.

EOQ Calculator

The total number of units you expect to sell or use in a year.
The fixed cost incurred each time you place an order (e.g., shipping, processing).
The cost to hold one unit of inventory for one year (e.g., storage, insurance, obsolescence).

Calculation Results

Optimal Order Quantity (EOQ): units
Number of Orders per Year:
Total Annual Ordering Cost:
Total Annual Holding Cost:
Total Annual Inventory Cost (Ordering + Holding):
EOQ Formula: EOQ = √((2 * Annual Demand * Ordering Cost per Order) / Holding Cost per Unit per Year)
Inventory Cost Analysis
Cost Breakdown at Different Order Quantities
Order Quantity (Units) Number of Orders Ordering Cost Holding Cost Total Inventory Cost

What is Economic Order Quantity (EOQ)?

The Economic Order Quantity (EOQ) is a fundamental inventory management concept that determines the optimal quantity of inventory to order at a time to minimize total inventory-related costs. These costs primarily include ordering costs (costs associated with placing an order) and holding costs (costs associated with storing inventory). The EOQ model assumes that demand, ordering costs, and holding costs remain constant over time, providing a theoretical ideal for businesses seeking to balance the frequency of orders against the quantity per order.

Who should use it? Any business that holds inventory can benefit from understanding and applying the EOQ principle. This includes retailers, manufacturers, wholesalers, and even service-based businesses that manage supplies. By calculating the EOQ, businesses can make more informed decisions about their procurement strategies, leading to significant cost savings and improved operational efficiency. It's particularly useful for businesses with stable demand patterns and predictable costs.

Common misconceptions about EOQ include believing it's a rigid rule that must be followed exactly, or that it accounts for all possible inventory costs (like stockout costs or quantity discounts). In reality, EOQ is a model that provides a strong baseline, and its assumptions often need to be adjusted for real-world complexities. It's a tool to guide decisions, not a definitive command.

EOQ Formula and Mathematical Explanation

The EOQ formula is derived by finding the point where the total annual inventory costs (ordering costs plus holding costs) are at their minimum. This occurs when the annual ordering cost equals the annual holding cost.

The formula is:

EOQ = √((2 * D * S) / H)

Where:

  • D = Annual Demand (in units)
  • S = Ordering Cost per Order
  • H = Holding Cost per Unit per Year

Let's break down the components:

  • Annual Demand (D): This represents the total number of units of a specific product that a company expects to sell or use over a one-year period. Accurate forecasting is crucial for an effective EOQ calculation.
  • Ordering Cost (S): This is the fixed cost incurred every time an order is placed, regardless of the quantity ordered. It includes expenses like processing the order, administrative costs, shipping fees, and receiving costs.
  • Holding Cost (H): This is the cost associated with storing one unit of inventory for one year. It encompasses various expenses such as warehousing costs, insurance, taxes on inventory, potential obsolescence or spoilage, and the opportunity cost of capital tied up in inventory.

The formula essentially balances the trade-off between ordering more frequently (which increases ordering costs but decreases holding costs) and ordering less frequently in larger batches (which decreases ordering costs but increases holding costs). The EOQ pinpoints the sweet spot.

Variables Table

Variable Meaning Unit Typical Range
D Annual Demand Units 100 – 1,000,000+
S Ordering Cost per Order Currency (e.g., USD, EUR) $10 – $500+
H Holding Cost per Unit per Year Currency (e.g., USD, EUR) $0.50 – $50+
EOQ Economic Order Quantity Units Calculated

Practical Examples (Real-World Use Cases)

Understanding the EOQ is best done through practical examples. Let's consider two scenarios:

Example 1: A Small Online Retailer

Scenario: "Gadget Emporium" sells a popular smartphone accessory. They estimate they will sell 5,000 units of this accessory in the next year. Each time they place an order with their supplier, it costs them $75 in processing and shipping fees. The cost to hold one unit of the accessory in inventory for a year (including storage, insurance, and potential obsolescence) is $4.

Inputs:

  • Annual Demand (D): 5,000 units
  • Ordering Cost per Order (S): $75
  • Holding Cost per Unit per Year (H): $4

Calculation using the EOQ calculator:

  • EOQ = √((2 * 5000 * 75) / 4) = √(750000 / 4) = √(187500) ≈ 433 units
  • Number of Orders = Annual Demand / EOQ = 5000 / 433 ≈ 11.55 orders (round up to 12 for practical purposes)
  • Total Annual Ordering Cost = Number of Orders * Ordering Cost = 11.55 * $75 ≈ $866.25
  • Total Annual Holding Cost = (EOQ / 2) * Holding Cost = (433 / 2) * $4 ≈ $866
  • Total Annual Inventory Cost = Ordering Cost + Holding Cost = $866.25 + $866 ≈ $1732.25

Interpretation: Gadget Emporium should aim to order approximately 433 units of the accessory each time to minimize their total inventory costs. This would result in about 12 orders per year, with total annual ordering and holding costs around $1732.25. Ordering significantly more or less would increase these costs.

Example 2: A Manufacturing Plant

Scenario: A furniture manufacturer uses a specific type of screw. They require 20,000 screws annually for their production line. Each purchase order incurs a $150 administrative and shipping fee. The cost to store one screw for a year is estimated at $0.50 (including warehouse space and capital cost).

Inputs:

  • Annual Demand (D): 20,000 units
  • Ordering Cost per Order (S): $150
  • Holding Cost per Unit per Year (H): $0.50

Calculation using the EOQ calculator:

  • EOQ = √((2 * 20000 * 150) / 0.50) = √(6000000 / 0.50) = √(12000000) ≈ 3464 units
  • Number of Orders = Annual Demand / EOQ = 20000 / 3464 ≈ 5.77 orders (round up to 6)
  • Total Annual Ordering Cost = 5.77 * $150 ≈ $865.50
  • Total Annual Holding Cost = (3464 / 2) * $0.50 ≈ $866
  • Total Annual Inventory Cost = $865.50 + $866 ≈ $1731.50

Interpretation: The manufacturer should order approximately 3,464 screws each time to achieve the lowest inventory costs. This strategy involves roughly 6 orders per year, leading to total annual inventory costs of about $1731.50. This calculation helps them optimize their procurement process for this specific component.

How to Use This EOQ Calculator

Using this Economic Order Quantity (EOQ) calculator is straightforward. Follow these simple steps to determine your optimal order quantity and understand the associated costs:

  1. Input Annual Demand: Enter the total number of units of a specific product you expect to sell or use within a year. Be as accurate as possible with your demand forecast.
  2. Input Ordering Cost: Specify the fixed cost incurred each time you place an order. This includes all administrative, processing, and shipping expenses related to a single order.
  3. Input Holding Cost: Enter the cost to hold one unit of inventory for an entire year. This covers storage, insurance, potential obsolescence, and the cost of capital.
  4. Click 'Calculate EOQ': Once all values are entered, click the 'Calculate EOQ' button.

How to Read Results

  • Optimal Order Quantity (EOQ): This is the primary result, showing the ideal number of units to order each time to minimize total inventory costs.
  • Number of Orders per Year: This indicates how many times you would need to place an order annually if you consistently order the EOQ.
  • Total Annual Ordering Cost: The estimated total cost of placing all orders throughout the year based on the EOQ.
  • Total Annual Holding Cost: The estimated total cost of holding the average inventory level throughout the year.
  • Total Annual Inventory Cost: The sum of the total ordering cost and total holding cost, representing the minimum achievable cost under the EOQ model's assumptions.

Decision-Making Guidance

The EOQ calculated is a theoretical optimum. Use it as a guideline. Consider practical constraints such as supplier minimum order quantities, available storage space, lead times, and potential volume discounts. If the calculated EOQ is significantly different from your current ordering practice, analyze the cost implications. Adjusting your order quantity slightly might be necessary to accommodate real-world factors while still achieving significant cost savings compared to a non-optimized approach. This tool helps you quantify the benefits of optimizing your inventory management.

Key Factors That Affect EOQ Results

While the EOQ formula provides a clear calculation, several real-world factors can influence its applicability and the actual optimal order quantity. Understanding these factors is crucial for effective inventory management:

  1. Demand Variability: The EOQ model assumes constant demand. In reality, demand fluctuates due to seasonality, market trends, promotions, or economic conditions. High variability can make the calculated EOQ less reliable, potentially leading to stockouts or excess inventory. Businesses may need to use more advanced inventory models or safety stock calculations in such cases.
  2. Ordering Costs Accuracy: Precisely determining the fixed cost per order (S) can be challenging. It involves allocating indirect costs like administrative time, communication, and receiving. Inaccurate estimation of ordering costs will directly impact the EOQ calculation.
  3. Holding Cost Complexity: Holding costs (H) are multifaceted, including warehousing, insurance, taxes, obsolescence, spoilage, and the opportunity cost of capital. Accurately quantifying these, especially the cost of capital tied up in inventory, is difficult and can significantly alter the EOQ.
  4. Lead Time: The time between placing an order and receiving it (lead time) is not explicitly part of the basic EOQ formula but is critical for determining *when* to place an order (reorder point). If lead times are long or unpredictable, safety stock might be needed, affecting overall inventory levels and costs.
  5. Quantity Discounts: The basic EOQ model assumes a constant unit price. However, suppliers often offer discounts for larger order quantities. This requires a modified EOQ analysis where the total cost (including purchase cost) is evaluated at different order quantities to find the true minimum cost, which might not be the calculated EOQ.
  6. Supplier Constraints: Suppliers may impose minimum order quantities (MOQs) or maximum order limits. If the calculated EOQ falls outside these constraints, the business must order either the MOQ or the maximum allowed, potentially deviating from the theoretical optimum.
  7. Product Shelf Life and Obsolescence: For perishable goods or products with short life cycles (e.g., electronics), holding costs can be significantly higher due to the risk of spoilage or becoming outdated. This increases 'H' and thus lowers the EOQ, encouraging smaller, more frequent orders.
  8. Cash Flow and Storage Capacity: Even if the EOQ suggests ordering a large quantity, a company's available cash flow and physical storage space might limit the practical order size. These financial and operational constraints must be factored into inventory decisions.

Frequently Asked Questions (FAQ)

Q1: What is the main goal of calculating EOQ?

A1: The main goal of calculating EOQ is to determine the optimal order quantity that minimizes the total costs associated with inventory, specifically balancing ordering costs and holding costs.

Q2: Does EOQ account for stockout costs?

A2: The basic EOQ model does not directly account for stockout costs (the cost of running out of inventory). It assumes demand is met perfectly. More advanced inventory models are needed to incorporate stockout costs.

Q3: How often should I reorder if I use the EOQ?

A3: The EOQ tells you *how much* to order, not necessarily *when*. To determine when to reorder, you need to calculate the reorder point, which considers lead time and demand during lead time.

Q4: What if my demand isn't constant?

A4: The EOQ model works best with stable, predictable demand. If your demand is highly variable, the calculated EOQ might be less accurate. You may need to use safety stock or dynamic inventory models.

Q5: Can EOQ be used for services instead of physical products?

A5: EOQ is primarily designed for physical inventory management. It's not directly applicable to services, which typically don't involve holding physical stock in the same way.

Q6: What happens if I order more or less than the EOQ?

A6: Ordering more than the EOQ will increase your average inventory levels and thus increase holding costs, while decreasing ordering costs. Ordering less will decrease holding costs but increase ordering costs. The total inventory cost will be higher than the minimum achieved at the EOQ.

Q7: How do I calculate holding cost per unit per year if it's a percentage of the item's cost?

A7: If your holding cost is expressed as a percentage (e.g., 20% of the item's cost), you would multiply the item's unit cost by that percentage. For example, if an item costs $50 and the holding cost rate is 20%, the holding cost per unit per year (H) would be $50 * 0.20 = $10.

Q8: Is the EOQ calculator suitable for businesses with multiple products?

A8: Yes, the EOQ calculator can be used for each product individually. However, managing inventory for multiple products requires careful consideration of overall warehouse space, cash flow, and supplier relationships.

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// Hide error by default if (isNaN(value)) { errorDiv.textContent = 'Please enter a valid number.'; errorDiv.style.display = 'block'; return false; } if (value < minValue) { errorDiv.textContent = 'Value cannot be negative.'; errorDiv.style.display = 'block'; return false; } return true; } function calculateEOQ() { var isValid = true; isValid = validateInput('annualDemand', 'annualDemandError') && isValid; isValid = validateInput('orderingCost', 'orderingCostError') && isValid; isValid = validateInput('holdingCostPerUnit', 'holdingCostPerUnitError') && isValid; if (!isValid) { eoqResultDiv.textContent = 'Invalid Input'; eoqValueSpan.textContent = '–'; numOrdersSpan.textContent = '–'; totalOrderingCostSpan.textContent = '–'; totalHoldingCostSpan.textContent = '–'; totalInventoryCostSpan.textContent = '–'; if (chartInstance) { chartInstance.destroy(); chartInstance = null; } costBreakdownTableBody.innerHTML = ''; return; } var D = parseFloat(annualDemandInput.value); var S = parseFloat(orderingCostInput.value); var H = parseFloat(holdingCostPerUnitInput.value); if (H === 0) { eoqResultDiv.textContent = 'Holding cost cannot be zero'; eoqValueSpan.textContent = '–'; numOrdersSpan.textContent = '–'; totalOrderingCostSpan.textContent = '–'; totalHoldingCostSpan.textContent = '–'; totalInventoryCostSpan.textContent = '–'; if (chartInstance) { chartInstance.destroy(); chartInstance = null; } costBreakdownTableBody.innerHTML = ''; return; } var EOQ = Math.sqrt((2 * D * S) / H); var numOrders = D / EOQ; var totalOrderingCost = numOrders * S; var totalHoldingCost = (EOQ / 2) * H; var totalInventoryCost = totalOrderingCost + totalHoldingCost; eoqResultDiv.textContent = '$' + totalInventoryCost.toFixed(2); // Primary result is total cost eoqValueSpan.textContent = EOQ.toFixed(2); numOrdersSpan.textContent = numOrders.toFixed(2); totalOrderingCostSpan.textContent = '$' + totalOrderingCost.toFixed(2); totalHoldingCostSpan.textContent = '$' + totalHoldingCost.toFixed(2); totalInventoryCostSpan.textContent = '$' + totalInventoryCost.toFixed(2); updateChartAndTable(D, S, H, EOQ); } function updateChartAndTable(D, S, H, calculatedEOQ) { var chartData = { labels: [], datasets: [ { label: 'Ordering Cost', data: [], borderColor: '#004a99', backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: false, tension: 0.1 }, { label: 'Holding Cost', data: [], borderColor: '#28a745', backgroundColor: 'rgba(40, 167, 69, 0.1)', fill: false, tension: 0.1 }, { label: 'Total Inventory Cost', data: [], borderColor: '#ffc107', backgroundColor: 'rgba(255, 193, 7, 0.1)', fill: false, tension: 0.1 } ] }; costBreakdownTableBody.innerHTML = ''; // Clear previous table rows var orderQuantities = []; var step = Math.max(1, Math.round(calculatedEOQ / 5)); // Determine a reasonable step for order quantities var maxQuantity = Math.max(calculatedEOQ * 2, 100); // Ensure chart covers a good range for (var Q = step; Q <= maxQuantity; Q += step) { orderQuantities.push(Q); var numOrders = D / Q; var orderingCost = numOrders * S; var holdingCost = (Q / 2) * H; var totalCost = orderingCost + holdingCost; chartData.labels.push(Q.toFixed(0)); chartData.datasets[0].data.push(orderingCost); chartData.datasets[1].data.push(holdingCost); chartData.datasets[2].data.push(totalCost); // Populate table rows (show a few key points) if (Q === step || Q === calculatedEOQ || Q === maxQuantity || orderQuantities.length 0 && calculatedEOQ parseFloat(label) > Q); if (insertIndex === -1) insertIndex = chartData.labels.length; chartData.labels.splice(insertIndex, 0, Q.toFixed(0)); chartData.datasets[0].data.splice(insertIndex, 0, orderingCost); chartData.datasets[1].data.splice(insertIndex, 0, holdingCost); chartData.datasets[2].data.splice(insertIndex, 0, totalCost); // Add to table if not already shown var rowExists = Array.from(costBreakdownTableBody.rows).some(row => parseFloat(row.cells[0].textContent) === Math.round(Q)); if (!rowExists) { var row = costBreakdownTableBody.insertRow(insertIndex); // Insert at sorted position row.insertCell(0).textContent = Q.toFixed(0); row.insertCell(1).textContent = numOrders.toFixed(2); row.insertCell(2).textContent = '$' + orderingCost.toFixed(2); row.insertCell(3).textContent = '$' + holdingCost.toFixed(2); row.insertCell(4).textContent = '$' + totalCost.toFixed(2); } } if (chartInstance) { chartInstance.destroy(); } var ctx = inventoryCostChartCanvas.getContext('2d'); chartInstance = new Chart(ctx, { type: 'line', data: chartData, options: { responsive: true, maintainAspectRatio: false, plugins: { title: { display: true, text: 'Inventory Costs vs. Order Quantity' }, tooltip: { mode: 'index', intersect: false, }, legend: { position: 'top', } }, scales: { x: { title: { display: true, text: 'Order Quantity (Units)' } }, y: { title: { display: true, text: 'Cost ($)' }, beginAtZero: true } } } }); } function resetForm() { annualDemandInput.value = 1000; orderingCostInput.value = 50; holdingCostPerUnitInput.value = 5; document.getElementById('annualDemandError').style.display = 'none'; document.getElementById('orderingCostError').style.display = 'none'; document.getElementById('holdingCostPerUnitError').style.display = 'none'; calculateEOQ(); // Recalculate with default values } function copyResults() { var resultsText = "EOQ Calculation Results:\n\n"; resultsText += "Optimal Order Quantity (EOQ): " + eoqValueSpan.textContent + " units\n"; resultsText += "Number of Orders per Year: " + numOrdersSpan.textContent + "\n"; resultsText += "Total Annual Ordering Cost: " + totalOrderingCostSpan.textContent + "\n"; resultsText += "Total Annual Holding Cost: " + totalHoldingCostSpan.textContent + "\n"; resultsText += "Total Annual Inventory Cost: " + totalInventoryCostSpan.textContent + "\n\n"; resultsText += "Key Assumptions:\n"; resultsText += "- Annual Demand: " + annualDemandInput.value + " units\n"; resultsText += "- Ordering Cost per Order: $" + orderingCostInput.value + "\n"; resultsText += "- Holding Cost per Unit per Year: $" + holdingCostPerUnitInput.value + "\n"; // Copy to clipboard var textArea = document.createElement("textarea"); textArea.value = resultsText; textArea.style.position = "fixed"; textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied!' : 'Copying failed!'; // Optionally show a temporary message to the user console.log(msg); } catch (err) { console.error('Fallback: Oops, unable to copy', err); } document.body.removeChild(textArea); } // Initial calculation on page load window.onload = function() { calculateEOQ(); }; // Add Chart.js library dynamically (or include it in the head) // For simplicity in this single file, we'll assume Chart.js is available globally. // In a real-world scenario, you'd include it via CDN or a script tag. // Example CDN: // Ensure Chart.js is loaded before this script runs. // For this example, we'll add a placeholder check. if (typeof Chart === 'undefined') { console.error("Chart.js library is not loaded. Please include it."); // You might want to dynamically load it or display an error message. // For this example, we'll proceed assuming it will be loaded. // Dynamically loading Chart.js: var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js'; script.onload = function() { console.log("Chart.js loaded successfully."); // Re-run calculation if needed after chart lib loads calculateEOQ(); }; document.head.appendChild(script); }

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