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Inventory EOQ (Economic Order Quantity) Calculator

Calculate the optimal order quantity that minimizes total ordering and holding costs. Estimate number of orders per year, cycle time, and reorder points using the classic EOQ formula.

For educational purposes only — not formal supply chain or financial advice

EOQ Parameters

Demand

Total demand in the selected period (units)

Cost Parameters

Fixed cost to place an order (setup, shipping, admin)

Annual cost to hold one unit (storage, capital, insurance)

Calendar & Lead Time

Default is 250 business days

Time between placing and receiving an order

Extra inventory to buffer against uncertainty

Calculate an Optimal Economic Order Quantity

Enter demand, order cost, and holding cost to estimate the EOQ that balances ordering and carrying cost. You can also add lead time and safety stock for a simple reorder point calculation.

EOQ Formula
Cost Analysis
Reorder Point

Tip: Start with annual demand and basic costs. You can add lead time and safety stock later to calculate when to reorder.

Last Updated: November 4, 2025

Understanding Economic Order Quantity (EOQ): Essential Calculations for Inventory Management and Supply Chain Optimization

Economic Order Quantity (EOQ) is a classic inventory management model that determines the optimal order quantity to minimize total inventory costs. It balances two competing costs: the cost of ordering (which decreases with larger, less frequent orders) and the cost of holding inventory (which increases with larger orders). Understanding EOQ is crucial for students studying operations management, supply chain management, business administration, and inventory control, as it explains how to optimize order quantities, minimize total costs, and understand inventory trade-offs. EOQ calculations appear in virtually every operations management course and are foundational to understanding inventory optimization.

The EOQ formula was developed by Ford W. Harris in 1913 and remains one of the most widely taught concepts in operations management. The formula is: EOQ = √(2 × D × S / H), where D is annual demand, S is ordering cost per order, and H is holding cost per unit per year. This formula finds the order quantity that minimizes the sum of annual ordering cost and annual holding cost. Understanding the EOQ formula helps you see why it balances these two costs and how it provides a starting point for inventory decisions.

Key components of EOQ include: (1) Annual demand (D)—the total number of units needed per year, (2) Ordering cost (S)—the fixed cost to place one order (setup, shipping, administrative processing), (3) Holding cost (H)—the cost to hold one unit in inventory for one year (storage, insurance, capital tied up, obsolescence), (4) EOQ—the optimal order quantity that minimizes total cost, (5) Number of orders per year—D / EOQ, how many times per year you order, (6) Cycle time—time between orders, often expressed in working days, (7) Reorder point (ROP)—the inventory level at which a new order should be placed. Understanding these components helps you see why each is needed and how they work together.

Cost trade-offs are central to EOQ: Ordering cost decreases with larger orders (fewer orders per year), while holding cost increases with larger orders (more inventory on hand). The EOQ formula finds the point where these two costs are balanced—at the optimal order quantity, annual ordering cost equals annual holding cost. Understanding this trade-off helps you see why EOQ minimizes total cost and why deviating from EOQ increases costs.

EOQ assumptions simplify the model but may not hold in real-world scenarios: (1) Constant demand—real demand often varies seasonally, weekly, or randomly, (2) Constant lead time—suppliers may have variable delivery times, (3) Instantaneous replenishment—orders arrive all at once, not in batches, (4) No quantity discounts—real suppliers often offer price breaks for larger orders, (5) Single item—EOQ doesn't account for multi-item coordination, (6) No stockouts—the model doesn't penalize running out of inventory. Understanding these assumptions helps you see when EOQ is appropriate and when more sophisticated models are needed.

This calculator is designed for educational exploration and practice. It helps students master EOQ by calculating optimal order quantities, understanding cost trade-offs, computing reorder points, and exploring how different parameters affect EOQ. The tool provides step-by-step calculations showing how EOQ works. For students preparing for operations management exams, supply chain courses, or business administration labs, mastering EOQ is essential—these concepts appear in virtually every operations management protocol and are fundamental to understanding inventory optimization. The calculator supports comprehensive analysis (EOQ calculation, cost curves, reorder points, cycle times), helping students understand all aspects of inventory management.

Critical disclaimer: This calculator is for educational, homework, and conceptual learning purposes only. It helps you understand EOQ theory, practice inventory calculations, and explore how different parameters affect order quantities. It does NOT provide instructions for actual procurement, purchasing, or supply chain decisions, which require proper demand forecasting, supplier constraints, cash flow considerations, service level requirements, and adherence to best practices. Never use this tool to determine actual procurement, purchasing, or supply chain decisions without proper statistical review and validation. Real-world inventory management involves considerations beyond this calculator's scope: demand variability, lead time uncertainty, quantity discounts, multi-item coordination, service level targets, and working capital constraints. Use this tool to learn the theory—consult trained professionals and validated platforms for practical applications.

Understanding the Basics of Economic Order Quantity (EOQ)

What Is Economic Order Quantity (EOQ)?

Economic Order Quantity (EOQ) is the order quantity that minimizes total annual ordering and holding cost. It balances two competing costs: ordering cost (decreases with larger orders) and holding cost (increases with larger orders). The EOQ formula finds the optimal point where these costs are balanced. Understanding EOQ helps you see why it minimizes total cost and how it provides a starting point for inventory decisions.

What Is the EOQ Formula?

The EOQ formula is: EOQ = √(2 × D × S / H), where D is annual demand, S is ordering cost per order, and H is holding cost per unit per year. This formula finds the order quantity that minimizes the sum of annual ordering cost and annual holding cost. The square root function shows that EOQ increases with demand and ordering cost, and decreases with holding cost. Understanding this formula helps you see how to calculate EOQ and why it balances costs.

What Is Ordering Cost (S)?

Ordering cost (S) is the fixed cost to place one order, regardless of order size. It includes: setup costs (preparing production or procurement), shipping fees, administrative processing (purchasing, receiving, payment processing), and receiving costs (inspection, handling). Ordering cost is independent of order quantity—placing one order costs the same whether you order 10 units or 1,000 units. Understanding ordering cost helps you see why larger orders reduce ordering cost per unit.

What Is Holding Cost (H)?

Holding cost (H) is the cost to hold one unit in inventory for one year. It includes: storage costs (warehouse space, utilities), insurance (protection against loss or damage), capital tied up (opportunity cost of money invested in inventory), and obsolescence or spoilage risk (items becoming outdated or unusable). Holding cost can be input directly or computed as a percentage of unit cost (carrying rate). Understanding holding cost helps you see why larger orders increase holding cost.

How Do You Calculate Number of Orders and Cycle Time?

Number of orders per year is: D / EOQ, where D is annual demand and EOQ is the optimal order quantity. For example, if annual demand is 12,000 units and EOQ is 500 units, you order 24 times per year. Cycle time is the time between orders, calculated as: Working days per year / Number of orders per year. This tells you how many days between orders. Understanding these calculations helps you see how EOQ affects ordering frequency and timing.

How Do You Calculate Reorder Point (ROP)?

The Reorder Point (ROP) tells you when to place a new order so inventory arrives before you run out. The formula is: ROP = (Daily Demand × Lead Time) + Safety Stock, where daily demand is annual demand divided by working days per year, lead time is days between placing an order and receiving it, and safety stock is extra inventory to buffer against uncertainty. Understanding ROP helps you see when to reorder and how to prevent stockouts.

Why Does Ordering Cost Equal Holding Cost at EOQ?

At the EOQ, annual ordering cost exactly equals annual holding cost. This is a mathematical property of the EOQ formula. The total cost curve is U-shaped: below EOQ, ordering cost dominates (too many small orders); above EOQ, holding cost dominates (too much inventory). The minimum occurs where these two costs are balanced. Understanding this helps you see why EOQ minimizes total cost and why the cost curve has this shape.

How to Use the Inventory EOQ Calculator

This interactive tool helps you calculate Economic Order Quantity (EOQ) by computing optimal order quantities, analyzing cost trade-offs, determining reorder points, and exploring how different parameters affect inventory decisions. Here's a comprehensive guide to using each feature:

Step 1: Enter Demand Information

Set up your demand parameters:

Demand Quantity

Enter the total demand quantity (e.g., 12,000, 500, 1,000). This is the number of units needed.

Demand Time Unit

Select the time period: per year, per month, per week, or per day. The calculator converts to annual demand automatically.

Step 2: Enter Ordering Cost

Specify ordering cost:

Order Cost Per Order

Enter the fixed cost to place one order (e.g., $50, $100, $200). This includes setup, shipping, and administrative costs.

Step 3: Enter Holding Cost (Choose Method)

Specify holding cost using one of two methods:

Method 1: Direct Holding Cost

Enter holding cost per unit per year directly (e.g., $5, $10, $20). This is the total cost to hold one unit for one year.

Method 2: Percentage of Unit Cost

Enter unit cost (e.g., $50, $100) and annual carrying rate percentage (e.g., 20%, 25%). The calculator computes holding cost as: Unit Cost × (Carrying Rate / 100).

Step 4: Configure Optional Parameters

Set optional parameters for reorder point calculation:

Working Days Per Year

Enter working days per year (default 250). This is used to calculate daily demand and cycle time.

Lead Time (Days)

Enter lead time in days (optional). This is the time between placing an order and receiving it. Used for reorder point calculation.

Safety Stock Units

Enter safety stock units (optional). This is extra inventory to buffer against uncertainty. Used for reorder point calculation.

Step 5: Calculate and Review Results

Click "Calculate EOQ" to generate your results:

View EOQ Results

The calculator shows: (a) EOQ (optimal order quantity), (b) Number of orders per year, (c) Cycle time (days between orders), (d) Annual ordering cost, (e) Annual holding cost, (f) Total annual inventory cost, (g) Reorder point (if lead time provided), (h) Cost curve visualization, (i) Summary insights and caveats.

Example: Annual Demand = 12,000, Order Cost = $50, Holding Cost = $5/unit/year

Input: D = 12,000, S = $50, H = $5

Output: EOQ = √(2 × 12,000 × 50 / 5) = √(1,200,000) ≈ 1,095 units, Orders/year = 12,000 / 1,095 ≈ 11, Annual Ordering Cost = 11 × $50 = $550, Annual Holding Cost = (1,095 / 2) × $5 = $2,737.50, Total Cost = $3,287.50

Explanation: Calculator computes EOQ using the formula, calculates number of orders, computes costs, and shows that ordering cost and holding cost are balanced at EOQ.

Tips for Effective Use

  • Use annual demand consistently—convert monthly/weekly/daily demand to annual before entering.
  • Include all ordering costs—setup, shipping, administrative processing, receiving.
  • Include all holding costs—storage, insurance, capital tied up, obsolescence risk.
  • Check cost balance—at EOQ, annual ordering cost should equal annual holding cost.
  • Consider reorder point—if lead time is provided, use ROP to determine when to reorder.
  • Remember EOQ assumptions—constant demand, constant lead time, no quantity discounts.
  • All calculations are for educational understanding, not actual procurement decisions.

Formulas and Mathematical Logic Behind Economic Order Quantity (EOQ)

Understanding the mathematics empowers you to calculate EOQ on exams, verify calculator results, and build intuition about inventory optimization.

1. EOQ Formula

EOQ = √(2 × D × S / H)

Where:
EOQ = Economic Order Quantity (optimal order quantity)
D = Annual demand (units per year)
S = Ordering cost per order (fixed cost)
H = Holding cost per unit per year
√ = Square root function

Key insight: The square root function shows that EOQ increases with demand and ordering cost, and decreases with holding cost. This makes intuitive sense: if ordering is expensive, order more each time; if holding is expensive, order less but more frequently. Understanding this helps you see why the formula balances costs.

2. Annual Ordering Cost Formula

Annual Ordering Cost = (D / EOQ) × S

Where D / EOQ = Number of orders per year

Example: D = 12,000, EOQ = 1,095, S = $50 → Annual Ordering Cost = (12,000 / 1,095) × $50 ≈ 11 × $50 = $550

3. Annual Holding Cost Formula

Annual Holding Cost = (EOQ / 2) × H

Where EOQ / 2 = Average inventory (assumes linear depletion)

Example: EOQ = 1,095, H = $5 → Annual Holding Cost = (1,095 / 2) × $5 = 547.5 × $5 = $2,737.50

4. Total Annual Inventory Cost Formula

Total Annual Cost = Annual Ordering Cost + Annual Holding Cost

At EOQ, this is minimized and ordering cost equals holding cost

Example: Annual Ordering Cost = $550, Annual Holding Cost = $2,737.50 → Total Cost = $3,287.50

5. Number of Orders Per Year Formula

Number of Orders = D / EOQ

This tells you how many times per year you order

Example: D = 12,000, EOQ = 1,095 → Number of Orders = 12,000 / 1,095 ≈ 11 orders per year

6. Cycle Time Formula

Cycle Time (Days) = Working Days Per Year / Number of Orders

This tells you how many days between orders

Example: Working Days = 250, Number of Orders = 11 → Cycle Time = 250 / 11 ≈ 22.7 days

7. Reorder Point (ROP) Formula

ROP = (Daily Demand × Lead Time) + Safety Stock

Where Daily Demand = Annual Demand / Working Days Per Year

Example: Annual Demand = 12,000, Working Days = 250, Lead Time = 5 days, Safety Stock = 100 → Daily Demand = 12,000 / 250 = 48, ROP = (48 × 5) + 100 = 340 units

8. Worked Example: Complete EOQ Calculation

Given: Annual Demand = 12,000 units, Order Cost = $50, Holding Cost = $5/unit/year

Find: EOQ, Number of Orders, Annual Costs, Total Cost

Step 1: Calculate EOQ

EOQ = √(2 × D × S / H) = √(2 × 12,000 × 50 / 5) = √(1,200,000) ≈ 1,095 units

Step 2: Calculate Number of Orders

Number of Orders = D / EOQ = 12,000 / 1,095 ≈ 11 orders per year

Step 3: Calculate Annual Ordering Cost

Annual Ordering Cost = (D / EOQ) × S = 11 × $50 = $550

Step 4: Calculate Annual Holding Cost

Annual Holding Cost = (EOQ / 2) × H = (1,095 / 2) × $5 = 547.5 × $5 = $2,737.50

Step 5: Calculate Total Annual Cost

Total Annual Cost = $550 + $2,737.50 = $3,287.50

Verification: At EOQ, ordering cost ($550) should approximately equal holding cost ($2,737.50). Note: Due to rounding, they may not be exactly equal, but they should be close.

Practical Applications and Use Cases

Understanding EOQ is essential for students across operations management and supply chain coursework. Here are detailed student-focused scenarios (all conceptual, not actual procurement decisions):

1. Homework Problem: Calculate EOQ

Scenario: Your operations management homework asks: "Calculate EOQ if annual demand is 12,000 units, order cost is $50, and holding cost is $5 per unit per year." Use the calculator: enter D = 12,000, S = $50, H = $5. The calculator shows: EOQ ≈ 1,095 units, Number of Orders ≈ 11, Total Cost ≈ $3,287.50. You learn: how to use the EOQ formula to calculate optimal order quantity. The calculator helps you check your work and understand each step.

2. Lab Report: Understand Cost Trade-Offs

Scenario: Your supply chain lab report asks: "Explain why ordering cost equals holding cost at EOQ." Use the calculator: try different order quantities. The calculator shows: cost curves with ordering cost and holding cost intersecting at EOQ. Understanding this helps explain why EOQ minimizes total cost. The calculator makes this relationship concrete—you see exactly how costs balance at the optimal point.

3. Exam Question: Find Reorder Point

Scenario: An exam asks: "What is the reorder point if annual demand is 12,000, working days are 250, lead time is 5 days, and safety stock is 100 units?" Use the calculator: enter these values. The calculator shows: Daily Demand = 48, ROP = 340 units. This demonstrates how to calculate reorder point.

4. Problem Set: Analyze Parameter Sensitivity

Scenario: Problem: "How does EOQ change if holding cost doubles?" Use the calculator: try different holding costs. The calculator shows: EOQ decreases as holding cost increases (EOQ = √(2DS/H), so H in denominator means higher H = lower EOQ). This demonstrates how to analyze parameter sensitivity.

5. Research Context: Understanding Why EOQ Matters

Scenario: Your operations management homework asks: "Why is EOQ fundamental to inventory management?" Use the calculator: explore different parameter combinations. Understanding this helps explain why EOQ minimizes total cost (balances ordering and holding costs), why it provides a starting point for inventory decisions (theoretical optimum), why it's widely taught (foundational concept), and why it's used in practice (starting point for real decisions). The calculator makes this relationship concrete—you see exactly how EOQ optimizes inventory decisions.

Common Mistakes in EOQ Calculations

EOQ problems involve order quantity calculations, cost computations, and reorder point determinations that are error-prone. Here are the most frequent mistakes and how to avoid them:

1. Not Converting Demand to Annual

Mistake: Using monthly or weekly demand directly in the EOQ formula without converting to annual, leading to wrong EOQ.

Why it's wrong: The EOQ formula requires annual demand (D). If you have monthly demand, multiply by 12; if weekly, multiply by 52; if daily, multiply by 365. Using non-annual demand gives wrong EOQ. For example, monthly demand = 1,000, using 1,000 in formula (wrong, should be 1,000 × 12 = 12,000).

Solution: Always convert demand to annual before using in EOQ formula. The calculator does this automatically—observe it to reinforce demand conversion.

2. Confusing Ordering Cost with Unit Cost

Mistake: Using unit cost (price per unit) as ordering cost, leading to wrong EOQ.

Why it's wrong: Ordering cost (S) is the fixed cost to place one order (setup, shipping, administrative), not the price per unit. Unit cost is used for purchase cost, not ordering cost. For example, unit cost = $50, using $50 as ordering cost (wrong, ordering cost should be separate, e.g., $50 for setup/shipping).

Solution: Always remember: ordering cost = fixed cost per order, unit cost = price per unit. The calculator separates these—use it to reinforce the distinction.

3. Using Wrong Formula for Holding Cost

Mistake: Using holding cost per unit per month instead of per year, leading to wrong EOQ.

Why it's wrong: The EOQ formula requires holding cost per unit per year (H). If you have monthly holding cost, multiply by 12; if weekly, multiply by 52. Using non-annual holding cost gives wrong EOQ. For example, monthly holding cost = $0.50, using $0.50 in formula (wrong, should be $0.50 × 12 = $6 per year).

Solution: Always convert holding cost to annual before using in EOQ formula. The calculator supports both direct annual holding cost and percentage-of-unit-cost method—use it to reinforce holding cost calculation.

4. Forgetting to Take Square Root

Mistake: Calculating 2DS/H without taking square root, leading to wrong EOQ.

Why it's wrong: The EOQ formula is EOQ = √(2DS/H), not EOQ = 2DS/H. The square root is essential—without it, you get a much larger (wrong) value. For example, 2DS/H = 1,200,000, using 1,200,000 as EOQ (wrong, should be √1,200,000 ≈ 1,095).

Solution: Always remember to take the square root. The calculator does this automatically—observe it to reinforce the square root step.

5. Not Checking Cost Balance at EOQ

Mistake: Not verifying that ordering cost equals holding cost at EOQ, missing errors.

Why it's wrong: At EOQ, annual ordering cost should equal annual holding cost (mathematical property). If they don't match (within rounding), you may have an error. For example, ordering cost = $550, holding cost = $3,000 (wrong, should be approximately equal).

Solution: Always check that ordering cost and holding cost are approximately equal at EOQ. The calculator shows both costs—use it to reinforce cost balance verification.

6. Using Wrong Formula for Reorder Point

Mistake: Using ROP = Annual Demand × Lead Time instead of Daily Demand × Lead Time, leading to wrong reorder point.

Why it's wrong: Reorder point must account for demand during lead time, which is daily demand × lead time, not annual demand × lead time. Using annual demand gives a huge (wrong) value. For example, annual demand = 12,000, lead time = 5 days, using 12,000 × 5 = 60,000 (wrong, should be (12,000 / 250) × 5 = 48 × 5 = 240).

Solution: Always convert annual demand to daily demand before calculating ROP: Daily Demand = Annual Demand / Working Days. The calculator does this automatically—observe it to reinforce ROP calculation.

7. Ignoring EOQ Assumptions

Mistake: Applying EOQ to situations where assumptions don't hold (variable demand, quantity discounts, etc.), leading to suboptimal decisions.

Why it's wrong: EOQ assumes constant demand, constant lead time, no quantity discounts, single item, no stockouts. If these assumptions don't hold, EOQ may not be optimal. For example, using EOQ when supplier offers quantity discounts (wrong, should consider discount break points).

Solution: Always check EOQ assumptions before applying. If assumptions don't hold, consider more sophisticated models. The calculator emphasizes these limitations—use it to reinforce when EOQ is appropriate.

Advanced Tips for Mastering EOQ Calculations

Once you've mastered basics, these advanced strategies deepen understanding and prepare you for complex EOQ problems:

1. Understand Why Square Root Function Dampens Errors (Conceptual Insight)

Conceptual insight: The square root function in EOQ = √(2DS/H) dampens the effect of input errors. For example, if you overestimate demand by 50%, EOQ increases by only about 22% (not 50%). This means EOQ is moderately robust to input errors—rough estimates are often good enough. Understanding this provides deep insight beyond memorization: EOQ is forgiving of estimation errors.

2. Recognize Patterns: Cost Curves, EOQ Location, Cost Balance

Quantitative insight: EOQ cost curves show: (a) U-shaped total cost curve—minimum at EOQ, (b) Ordering cost decreases with order quantity (fewer orders), (c) Holding cost increases with order quantity (more inventory), (d) At EOQ, ordering cost equals holding cost (balanced), (e) Total cost is relatively flat near EOQ (moderate deviations don't dramatically increase costs). Understanding these patterns helps you predict cost behavior: below EOQ, ordering cost dominates; above EOQ, holding cost dominates.

3. Master the Systematic Approach: Demand → Costs → EOQ → Orders → ROP

Practical framework: Always follow this order: (1) Convert demand to annual, (2) Identify ordering cost and holding cost, (3) Calculate EOQ using formula, (4) Calculate number of orders and cycle time, (5) Calculate annual costs and verify balance, (6) Calculate reorder point if lead time provided. This systematic approach prevents mistakes and ensures you don't skip steps. Understanding this framework builds intuition about EOQ.

4. Connect EOQ to Operations Management Applications

Unifying concept: EOQ is fundamental to operations management (inventory optimization, cost minimization), supply chain management (order quantity decisions, reorder points), business administration (procurement planning, working capital management), and inventory control (stock management, replenishment policies). Understanding EOQ helps you see why it minimizes total cost (balances ordering and holding costs), why it provides a starting point (theoretical optimum), why it's widely taught (foundational concept), and why it's used in practice (starting point for real decisions). This connection provides context beyond calculations: EOQ is essential for modern inventory management.

5. Use Mental Approximations for Quick Estimates

Exam technique: For quick estimates: EOQ ≈ √(2DS/H). If D doubles, EOQ increases by √2 ≈ 1.41 (about 41%). If S doubles, EOQ increases by √2 ≈ 1.41. If H doubles, EOQ decreases by √2 ≈ 0.71 (about 29% decrease). At EOQ, ordering cost ≈ holding cost. These mental shortcuts help you quickly estimate on multiple-choice exams and check calculator results.

6. Understand Limitations: EOQ Assumptions and Real-World Complexity

Advanced consideration: EOQ makes simplifying assumptions: constant demand, constant lead time, instantaneous replenishment, no quantity discounts, single item, no stockouts. Real-world inventory systems face: demand variability, lead time uncertainty, quantity discounts, multi-item coordination, service level requirements, working capital constraints. Understanding these limitations shows why EOQ is a starting point, not a final answer, and why more sophisticated models are often needed for accurate work in practice, especially for complex problems or non-standard situations.

7. Appreciate the Relationship Between EOQ and Total Cost

Advanced consideration: EOQ minimizes total annual inventory cost (ordering + holding). The total cost curve is U-shaped with a relatively flat region near EOQ, meaning moderate deviations from EOQ don't dramatically increase costs. This robustness makes EOQ practical—you don't need to order exactly EOQ. Understanding this helps you design inventory strategies that use EOQ as a guideline while allowing flexibility for real-world constraints.

Limitations & Assumptions

• Constant and Known Demand: EOQ assumes demand is deterministic and constant over time. Real demand is uncertain and variable. Demand forecasting errors can make calculated EOQ suboptimal, requiring safety stock and dynamic adjustments.

• Instantaneous Replenishment: The basic model assumes orders arrive all at once (infinite production rate). Many real situations have finite production rates or gradual delivery, requiring the Economic Production Quantity (EPQ) model instead.

• No Quantity Discounts: EOQ ignores quantity discounts from suppliers. When discounts are available, the optimal order quantity may be larger than EOQ to capture cost savings, requiring modified calculations.

• Single Item Focus: EOQ treats each item independently. Real inventory systems manage thousands of items with shared constraints (budget, warehouse space, ordering capacity) that require multi-item optimization approaches.

Important Note: This calculator is strictly for educational and informational purposes only. It demonstrates classic EOQ concepts for learning. For real inventory management, use ERP systems or inventory optimization software that handles demand variability, lead time uncertainty, and multi-item constraints.

Sources & References

The Economic Order Quantity (EOQ) model used in this calculator is based on established operations management principles from authoritative sources:

  • Hillier, F. S., & Lieberman, G. J. (2021). Introduction to Operations Research (11th ed.). McGraw-Hill. — Standard textbook covering EOQ and inventory management models.
  • Silver, E. A., Pyke, D. F., & Thomas, D. J. (2016). Inventory and Production Management in Supply Chains (4th ed.). CRC Press. — Comprehensive reference for inventory theory.
  • Chopra, S., & Meindl, P. (2018). Supply Chain Management: Strategy, Planning, and Operation (7th ed.). Pearson. — Modern coverage of EOQ in supply chain context.
  • APICS (Association for Supply Chain Management)ascm.org — Professional organization for supply chain and inventory management.

Note: This calculator is designed for educational purposes to help students understand EOQ concepts. For real inventory decisions, consider demand variability, quantity discounts, and supply constraints.

Frequently Asked Questions

What assumptions does the EOQ formula make?

The classic EOQ formula assumes: (1) Demand is constant and known, (2) Lead time is constant and known, (3) Replenishment is instantaneous (the entire order arrives at once), (4) There are no quantity discounts, (5) Only one product is considered, and (6) No shortages/stockouts are allowed. These assumptions simplify the math but may not reflect real-world complexity. Understanding these assumptions helps you see when EOQ is appropriate and when more sophisticated models are needed.

What happens if my demand is seasonal or uncertain?

If demand varies seasonally or is uncertain, the basic EOQ provides only a rough guideline. You might calculate EOQ using average demand as a starting point, but real inventory policy should account for demand variability through safety stock, periodic review systems, or more advanced models like (s, Q) or (R, S) policies that explicitly handle demand uncertainty. Understanding this helps you see when EOQ is sufficient and when advanced methods are required.

Should I always order exactly the EOQ?

Not necessarily. EOQ is a theoretical optimum under specific assumptions. In practice, you might adjust order quantities for: supplier minimum order quantities, package/pallet sizes, transportation constraints, cash flow timing, or quantity discounts. The total cost curve is relatively flat near the EOQ, so moderate deviations don't dramatically increase costs. Understanding this helps you see that EOQ is a guideline, not a rigid rule.

How do lead time and safety stock affect the reorder point?

Lead time determines how much inventory you consume while waiting for an order to arrive. Longer lead times require higher reorder points. Safety stock adds a buffer against uncertainty in demand or lead time. The simple formula is: ROP = (Daily Demand × Lead Time) + Safety Stock. This calculator uses a deterministic ROP; service-level-based safety stock calculations require knowing demand variability. Understanding this helps you see how to calculate reorder points and when to use safety stock.

Can I use this tool for multiple products or warehouses?

This calculator handles one product at a time. For multiple products, you would calculate EOQ for each item separately. However, real multi-item inventory systems may coordinate orders to reduce shipping costs or share setup costs. Multi-echelon (multiple warehouses) inventory is even more complex and requires specialized models. Understanding this helps you see when single-item EOQ is appropriate and when multi-item coordination is needed.

What if my supplier offers quantity discounts?

Quantity discounts change the optimization problem. You need to compare the total annual cost (ordering + holding + purchasing) at each price break quantity and at the EOQ calculated for each price level. The optimal order quantity might be at a discount break point even if it's not the classic EOQ. This calculator doesn't model quantity discounts. Understanding this helps you see when quantity discounts affect order quantity decisions and why EOQ alone may not be optimal.

How do I estimate holding cost if I don't know it directly?

A common approach is to estimate holding cost as a percentage of the unit cost (carrying rate). Typical annual carrying rates range from 15% to 35% of unit cost, including: cost of capital (opportunity cost of money tied up in inventory), storage space costs, insurance, taxes, obsolescence risk, and handling costs. This calculator supports both direct holding cost input and the percentage-of-unit-cost method. Understanding this helps you estimate holding cost when direct values aren't available.

Why does ordering cost plus holding cost equal total cost at EOQ?

At the EOQ, annual ordering cost exactly equals annual holding cost. This is a mathematical property of the EOQ formula. The total cost curve is U-shaped: below EOQ, ordering cost dominates (too many small orders); above EOQ, holding cost dominates (too much inventory). The minimum occurs where these two costs are balanced. Understanding this helps you see why EOQ minimizes total cost and why the cost curve has this shape.

Is EOQ still relevant in modern supply chains?

Yes, but with caveats. EOQ provides foundational intuition about inventory trade-offs and is still taught in operations courses. Modern supply chains often use more sophisticated methods that account for demand forecasting, variability, service levels, and integrated planning. However, EOQ remains a useful starting point and sanity check for inventory decisions. Understanding this helps you see when EOQ is appropriate and when advanced methods are needed.

How sensitive is EOQ to input errors?

EOQ is moderately robust to input errors because the square root function dampens the effect of errors. For example, if you overestimate demand by 50%, EOQ increases by only about 22%. Similarly, errors in cost estimates have a dampened effect. This means rough estimates are often good enough for practical EOQ calculations. Understanding this helps you see that EOQ is forgiving of estimation errors and why it's practical for real-world use.

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