Weekly demand Probability 0 1 2 3 4 5 6 0.14 0.27 0.27 0.18 0.09 0.04...

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Weekly demand Probability 0 1 2 3 4 5 6 0.14 0.27 0.27 0.18 0.09 0.04 0.01 The supplier of the dryers is unreliable and experience has shown that, after an order has been placed, the lead time (the waiting time before the delivery arrives) varies according to the following distribution: Lead time (weeks) Probability 1 0.4 2 0.3 3 0.2 4 0.1 The shop is interested to know how much demand there will be while waiting to receive an order. This will help it to set an order rule. The current rule is that they place an order when the stock falls to 4 items therefore if demand is more than 4 while waiting to receive the order they will run out of stock and lose sales. (a) We did 5 simulations of this in the lectures. Continue the lecture simulations to simulate a total of 10 orders, and calculate for each one how much demand will occur while waiting for the order to be delivered. [Use the first numbers in the random number table] (b) With the shop's current order rule, according to your simulation, what is the probability of there being unsatisfied demand before the order is delivered? Weekly demand Probability 0 1 2 3 4 5 6 0.14 0.27 0.27 0.18 0.09 0.04 0.01 The supplier of the dryers is unreliable and experience has shown that, after an order has been placed, the lead time (the waiting time before the delivery arrives) varies according to the following distribution: Lead time (weeks) Probability 1 0.4 2 0.3 3 0.2 4 0.1 The shop is interested to know how much demand there will be while waiting to receive an order. This will help it to set an order rule. The current rule is that they place an order when the stock falls to 4 items therefore if demand is more than 4 while waiting to receive the order they will run out of stock and lose sales. (a) We did 5 simulations of this in the lectures. Continue the lecture simulations to simulate a total of 10 orders, and calculate for each one how much demand will occur while waiting for the order to be delivered. [Use the first numbers in the random number table] (b) With the shop's current order rule, according to your simulation, what is the probability of there being unsatisfied demand before the order is delivered?