Final answer:
To calculate the service level, we use the Z-score formula and the provided average demand and standard deviation. The Z-score for a stock of 2556 units given the average demand of 1282 with a standard deviation of 708 is 1.80. The corresponding service level would be the cumulative probability associated with a Z-score of 1.80.
Step-by-step explanation:
The service level is a measure of the probability that demand will not exceed supply during a certain period. In this scenario, the student has mentioned that the demand has historically averaged 1282 units with a standard deviation of 708. The company has 2556 units in stock. To calculate the service level, we need to find the probability that the demand is less than or equal to the number of units in stock. This can be done using the Z-score formula: Z = (X - μ) / σ, where X is the number of units in stock, μ is the mean, and σ is the standard deviation. Plugging in the given values gives us:
Z = (2556 - 1282) / 708 = 1.80. We then look up this Z-score in a standard normal distribution table or use statistical software to find the corresponding probability. Assuming a normal distribution of demand, this Z-score corresponds to a service level, which is the cumulative probability up to that Z-score.
The exact figure would depend on the property of the standard normal distribution, but based on this calculation, the service level would be the probability associated with a Z-score of 1.80.