This is a very basic question about a very basic model, but I can't come up with a satisfactory answer.

In the economic order quantity (EOQ) model, let $\lambda$ be the demand rate (items/year), $h$ be the holding cost (\$/item/year), and let $K$ be the fixed cost per order. The optimal solution is $$Q^* = \sqrt{\frac{2K\lambda}{h}}.$$

What should be the units for $K$? One option is just \$, which would give $Q^*$ units of $$\sqrt{\frac{\$ \cdot \frac{\text{item}}{\text{year}}}{\frac{\$}{\text{item}\cdot\text{year}}}} = \text{item},$$ which is right.

But it seems equally plausible to me to use \$/order as the units for $K$, but then we have units $$\sqrt{\frac{\frac{\$}{\text{order}} \cdot \frac{\text{item}}{\text{year}}}{\frac{\$}{\text{item}\cdot\text{year}}}} = \text{item}\sqrt{\frac{1}{\text{order}}},$$ which obviously doesn't make sense. It would also work out if there were another $\sqrt{1/\text{order}}$ somewhere, so that $Q^*$ has units $\text{item}/\text{order}$, but none of the other terms should have $\text{order}$ in their units.

What am I missing?


4 Answers 4


In the EOQ setting, the total cost incurred during one order cycle is: $$TC = K + \frac{hQ^2}{2 \lambda} \;\;,$$ where the units of $K$ must be only \$ and $Q$ measures the inventory count in items after placing the order at the beginning of the cycle. If $K$ were to have units of \$ per order (or per cycle), then the second term must also have those units otherwise you are adding apples to oranges. Given $TC$ measured only in \$, we complete the model and compute $\frac{TC}{t}$ by dividing by the cycle length of $\frac{Q}{\lambda}$ and then find $Q^*$ to minimize cost per time in the right units of items.

One possibly important idea is that there are only three fundamental dimensions in the EOQ model, where a dimension is a quantity that must be measured to specify the model. The three fundamental dimensions are cost (typically measured in \$), time (measured in years), and inventory (measured in items). In my setup above, $TC$ is a cost variable and is comprised of two cost components, both measured in \$. So $K$ has units of \$ and provides the fixed cost incurred in an order cycle. The second term has $h$ measured in \$ per item-year multiplied by $\frac{Q^2}{2 \lambda}$ measuring average item-years of inventory in an order cycle since the average inventory $\frac{Q}{2}$ is measured in items and the cycle length $\frac{Q}{\lambda}$ is measured in years assuming an initial inventory of $Q$ items. In the EOQ setup, constant order quantities makes it unnecessary to measure orders separately to specify the problem. If the unit of orders is called for simplicity unit order, then the unit orders per time is just an endogenous performance metric given by demand (items per year) divided by order size (items per unit order), or $\frac{\lambda}{Q}$. Note that it is perfectly fine for $Q$ to be a quantity of items or a quantity of items per unit order, depending on the setting.

If you are still wanting more, it is also possible to guess wrong and assume that it is necessary to measure orders explicitly when specifying a correct EOQ model. Let's think about this. Let $K$ in this case be a cost per order, measured in \$ per unit order. We can furthermore define the variable $Q$ as measuring inventory per order, the increase in inventory obtained for every order measured in items per unit order. Let me also suggest that variable quantity $o_t$ captures the orders placed at time $t$ again measured in unit orders. Consider a time duration that begins with a time $t$ when an order is placed. It isn't difficult to see that there should be no items in inventory at $t$ for an optimal ordering strategy. If we place $o_t$ unit orders, the inventory level will be raised to $Q o_t$ at a cost of $K o_t$. During the time interval while the inventory again drops to zero, the total cost will be: $$TC' = K o_t + h \frac{Q o_t}{2} \frac{Q o_t}{\lambda} \; ,$$ where again both terms measure cost in \$ (the second term is again \$ per item-year multiplied first by items and then by years). Dividing again by the length of the time interval yields: $$\frac{TC'}{t} = \frac{K \lambda}{Q} + h \frac{Q o_t}{2} \; .$$ Both terms measure cost correctly in \$ per year, but it should be clear that cost only increases in the decision variable $o_t$ so it should be set equal to one unit order before optimizing for $Q$. In this formulation, it is true that $Q$ (and $Q^*$) is in units of items per unit order whereas in the original formulation $Q$ simply measures the increase in inventory that results by placing the single order. Since only one unit order is placed in a reorder cycle, we strip away the need to have $K$ and $Q$ measure per unit order quantities.

I'm sorry for the long answer, but I hope it helps.

  • $\begingroup$ "orders is not a dimension but rather an endogenous performance metric" -- I think this probably gets to the heart of it. But I'm still not sure we're there. For example, I agree that "the count of orders per time is always $\lambda/Q$," but if the units of $Q$ are items, then the units of $\lambda/Q$ are $1/\text{year}$, not $\text{orders}/\text{year}$ -- so why are those the units for orders per time? $\endgroup$ Commented Jun 10, 2019 at 20:35
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    $\begingroup$ What is the overriding principle that determines whether orders are a dimension or an exogenous metric? For example, consider this very simple problem: Demand is exactly 100 items/year and we place exactly 5 orders/year; what is $Q$ and what are its units? Obviously it's 20, but its units would be items/order. Here, order seems like a dimension, not a metric. Why would it be a metric in one problem but a dimension in another? $\endgroup$ Commented Jun 10, 2019 at 20:40
  • $\begingroup$ I'll clarify in an edit. Demand is measured in "inventory per time", the order quantity Q is measured in "inventory". Orders can be considered a dimension, but it is redundant in the standard EOQ which is why I said it wasn't fundamental. $\endgroup$
    – alerera
    Commented Jun 10, 2019 at 21:00
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    $\begingroup$ So, TL;DR: Either measure $K$ in \$ and $Q$ in items, or $K$ in \$/order and $Q$ in items/order, but in the latter case we also need a term $o_t$ that indicates the number of orders placed at time $t$, with units orders. Either approach is self-consistent and acceptable, but the former approach seems cleaner. $\endgroup$ Commented Jun 11, 2019 at 18:50

The coefficient $2$ in the first equation has unit $1/\text{order}$, so the second approach is the right one, and $Q^*$ has units $\text{item}/\text{order}$.

The unit comes from the holding cost $hQ/2$ in the formula for the total cost, which assumes that for order quantity $Q$ (items/order) you have in average $1/2$ order in stock, so $1/2$ has unit "order", and $hQ/2$ is in $\$/\text{y}$.

  • $\begingroup$ I'm not sure I am convinced by this argument. It seems a little fudgy to me. Instead of saying the average IL is 1/2 order, you could just as easily say it's $Q/2$. If $Q$ has units items/order, then $hQ/2$ has units of $\$/(\text{item}\cdot\text{year})$, which does not make sense. In fact saying "1/2 order" is really presuming a relationship between orders and items that I don't think is inherent in the units themselves -- the relationship between orders and items is only clear once you choose $Q$. $\endgroup$ Commented Jun 10, 2019 at 13:17
  • $\begingroup$ I don't follow you in the second sentence. Do we agree that $h$ has units $\$/(\text{item}\cdot\text{year})$, and $Q$ $\text{item}/\text{order}$? Now if the average IL is $Q/2$ you are really saying that there is $1/2$ order since IL is measured in items. Otherwise, if you say the IL is $Q/2$ and keep units $\text{item}/\text{order}$ you end up $hQ/2$ having units $\$/(\text{year}\cdot\text{order})$, while it should have $\$/\text{year}$. $\endgroup$ Commented Jun 10, 2019 at 19:13
  • $\begingroup$ I don't want to agree (yet) that the units for $Q$ is item/order. I think that is related to the question of what the units for $K$ are, so assuming units for $Q$ is also assuming units for $K$. I think it's just as plausible that the units for $Q$ are just items. $\endgroup$ Commented Jun 10, 2019 at 20:31
  • $\begingroup$ @LarrySnyder610 I see. Indeed, at the end it boils down to what you think are most adequate units to describe the problem. You can get all working having units $\text{item}$ for $Q$, and consequently units $\$$ for $K$, just as you did in your first example. The constant $1/2$ then is dimensionless. If you want to have $Q$ in units $\text{item}/\text{order}$, you need $K$ to have $\$/\text{order}$, but as another consequence the constant $1/2$ will need to be in units $\text{order}$. $\endgroup$ Commented Jun 10, 2019 at 22:08
  • $\begingroup$ Hmm, I see. But is there an interpretation for $1/2$ having units $\text{order}$, or just "it has to be that way to make the other units work out"? $\endgroup$ Commented Jun 10, 2019 at 22:24

It is an interesting question.

EOQ model starts from that the minimum point of the total cost (Inventory holding + Ordering cost). At the minimum point, the Inventory holding cost equals to the Ordering cost.
(of course you can use calculus to find the minimum point but the answer will be the same)

$\frac{Q}{2}h = \frac{\lambda}{Q}K$

The problem starts from here. $\frac{Q}{2}$ is the average inventory level over the year. Therefore, The unit should be Item. However, $\frac{\lambda}{Q}$ is the number of orders per year . Therefore if the $\lambda$ is Item per Year, Q has to be Item/order.

If we accept $Q$ has the unit Item/order, The average Inventory level $\frac{Q}{2}$ should have the unit, Item/order, but it should be Item for average Inventory level.

the $Q$ in $\frac{Q}{2}$ and $Q$ in $\frac{\lambda}{Q}$ are different in the unit.

1) The average inventory can be calculated by dividing the highest point in the sawtooth shape cycle by 2. The highest point is the highest inventory level, so the unit should be Item.

How do we find the highest point? We know the highest point in the inventory level is the $Q$, order quantity, (Item per order)

They are indeed the same number (but in different units) so that we can solve the equation.

2) The Average Inventory level per order, $\frac{Q}{2}$ (unit: Item/order) is the Annual average Inventory level $\frac{Q}{2}$ (unit: Item)
But when we calculate Annual inventory holding cost, we use 'annual average inventory level', not 'average inventory level per order'.

Not sure it is what you are looking for. Expecting discussions

  • $\begingroup$ If you think about the 3 dimensions in this problem (cost, time, and inventory), $Q$ is a variable quantity in the inventory dimension. Therefore, its units are the units of inventory. And we should avoid measuring inventory in multiple units, thus "orders" is never a unit. $\endgroup$
    – alerera
    Commented Jun 10, 2019 at 19:41
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    $\begingroup$ @SPhilKim I agree -- but I think you are re-stating the contradiction rather than resolving it. :) $\endgroup$ Commented Jun 10, 2019 at 20:43
  • $\begingroup$ @LarrySnyder610 You are right. The weird feeling I got after posting the answer was probably because of restatement, rather than resolving. :-) $\endgroup$ Commented Jun 10, 2019 at 22:42
  • $\begingroup$ I know that weird feeling well. :) $\endgroup$ Commented Jun 10, 2019 at 22:57

I remember encountering the same question when teaching Operations Management for the first time.

The thing is, annual total inventory cost is simply total annual ordering cost plus total annual holding cost, all of them measured in $\frac{\$}{\rm year}$. The total ordering costs is simple: number of orders per year times fixed cost per order: $\frac{D \, \rm items/year}{Q \, \rm items/order} \times K \frac{\$}{\rm order} = \frac{\$}{\rm year}$.

The total holding cost can be calculated as annual holding cost per item times average inventory level, which is measured in items and happens to be equal to $\frac{Q}{2}$. Usually, in textbooks they use continuous inventory depletion model, like in the picture below, and use the triangle area formula to explain the intuition.

continuous demand

However, in for more general settings the EOQ formula derivation is even less straightforward, and involves derivative and integration. To explain it in apples-to-apples manner you would have to go deep into mathematical realms, which defeats the whole purpose. I noticed that in textbooks, even the Master level ones, they drop the measurement units issue in discussion of EOQ, newsvendor model and other nonlinear topics.

PS: If I remember correctly, in the undergraduate textbook I was using (Stevenson), $K$ was measured in just dollars.

  • $\begingroup$ So are you arguing for the units of $K$ to be $\$/\text{order}$ (as in your equation) or just $\$$ (as in the textbook you used)? $\endgroup$ Commented Jun 10, 2019 at 22:23
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    $\begingroup$ For explaining to students, I would follow the textbook I am using. For myself, I would abstract from the units altogether and think of the input as a vector. I think of the units substitution as a tool to "check yourself" and to get the formula intuition, but this function does not work any more when analysis comes into play (i.e., limits, integration and derivation). However, now I am really curious what measure theory has to say about the transformation of units under those operations. $\endgroup$
    – aehie
    Commented Jun 12, 2019 at 16:11

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