periods with each period showing some demand, as shown in Table 3.6.
How should we define the overall fill rate? There are two possible approaches. The first is to total the satisfied demand (8 units) and divide by the total demand (16 units) to give an overall fill rate of 50%, as shown in Table 3.6. The second approach is to average the fill rates over all four periods, giving an overall fill rate of 56.25%, which is somewhat higher than the first calculation. If all four periods had a fill rate of 50%, then the two calculation methods would agree. The disagreement arises because the average of the fill rates in the second and third periods is 62.5%, whereas only 50% of the total demand over these two periods is fulfilled. The second method can be applied to intermittent demand only if periods with zero demands are excluded from the calculation. For further discussion of this method, please refer to Guijarro et al. (2012). We will base our analysis on the first method, as it is simpler for intermittent demand, and is the standard method in the literature and in practice.
Table 3.6 Fill rates per time period.
Period | Demand | Satisfied | Fill rate |
---|---|---|---|
1 | 2 | 1 | 0.50 |
2 | 4 | 1 | 0.25 |
3 | 2 | 2 | 1.00 |
4 | 8 | 4 | 0.50 |
Total | 16 | 8 | 0.50 |
3.6.2 Fill Rates: Standard Formula
To calculate the unit fill rate (FR), we need to evaluate how much demand is satisfied, over a given period of time, as a proportion of the demand over the same period. Equivalently, we can evaluate the average unsatisfied demand per period, as a proportion of the average demand per period, and subtract this ratio from one, as shown in Eq. (3.2).
where
In Eq. (3.2), the expression
For ease of exposition, from this point on, we assume that the review interval is one period (
Equation (3.2) is an exact calculation of the fill rate. It can be used to find the historical fill rates, providing that we maintain records of the demands in each period, and the backorders in each period. Suppose that, for a particular SKU, the average demand per period was for 10 units and the average backorder quantity per period was one unit. Then, it follows immediately that the historical fill rate for that SKU was
Now suppose that we wish to experiment with different OUT levels. Equation (3.2) is not helpful because, even if the average demand per period remains unchanged, the equation does not reveal the effect on backorders of changing the OUT level (