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Economic Order Quantity (EOQ) Model

Introduction

The EOQ model is a fundamental inventory management technique used to determine the optimal order quantity that minimizes the total inventory cost. This includes ordering costs and holding costs.


Objective

To find the quantity QQ that minimizes the total cost (TC), which is the sum of:

  • Ordering cost: Cost incurred every time an order is placed
  • Holding cost: Cost to hold one unit of inventory for a year

Assumptions

  • Constant and known demand ($D$ units/year)
  • Fixed ordering cost per order ($S$)
  • Constant holding cost per unit per year ($H$)
  • No stockouts or shortages
  • Instantaneous replenishment

Total Cost (TC) Function

The total cost is given by:

TC(Q)=DQS+Q2HTC(Q) = \frac{D}{Q} \cdot S + \frac{Q}{2} \cdot H

Where:

  • DD: Annual demand
  • SS: Ordering cost per order
  • HH: Holding cost per unit per year
  • QQ: Order quantity (decision variable)

EOQ Formula

To minimize TC(Q)TC(Q), take the derivative of TCTC with respect to QQ and set it to zero:

dTCdQ=DSQ2+H2=0\frac{dTC}{dQ} = -\frac{D \cdot S}{Q^2} + \frac{H}{2} = 0

Solving gives:

Q=2DSHQ^* = \sqrt{\frac{2DS}{H}}

Where:

  • QQ^*: Optimal order quantity (EOQ)

Example

Given:

  • D=10,000D = 10{,}000 units/year
  • S=100S = 100 per order
  • H=2H = 2 per unit per year

Then:

Q=210,0001002=1,000,000=1000Q^* = \sqrt{\frac{2 \cdot 10{,}000 \cdot 100}{2}} = \sqrt{1{,}000{,}000} = 1000

So, the optimal order quantity is 1,000 units.


Interpretation

  • Fewer orders → Higher holding cost
  • More orders → Higher ordering cost
  • EOQ balances both to minimize total cost

Graph Interpretation

A typical EOQ cost graph shows:

  • TC(Q)TC(Q): U-shaped total cost curve
  • Minimum point corresponds to QQ^*
  • The intersection of ordering and holding cost curves

Summary

Symbol Meaning
DD Annual demand
SS Cost per order
HH Holding cost per unit/year
QQ Order quantity
QQ^* EOQ (Optimal order quantity)

EOQ is a key tool for reducing inventory costs in supply chain and operations management.