Consider a generalization of the inventory model of Examples 12.2 and 12.3 in which there are two new factors. The first of these is the inventory-evaluation interval m, which is the number of months between successive evaluations of the inventory level to determine whether an order will be placed. In the original model m = 1, but consideration is being given to changing m to 2, that is, evaluating only at the beginning of every other month. The second new factor arose since the supplier has introduced an “express” delivery option. Originally, if Z items were ordered, the ordering cost was 32 + 3Z and the delivery lag was uniformly distributed between 0.5 and 1 month. With express delivery, the supplier will cut the delivery time in half (distributed uniformly between 0.25 and 0.5 month) but will charge 48 + 4Z instead. The delivery priority P is thus either “normal” or “express” and is a qualitative factor. In this generalized model, then, there are k = 4 factors whose levels are given in the following coding chart:

Make n = 10 replications of the 24 factorial design and construct 95 percent confidence intervals for the expected main and interaction effects. Does changing the inventory-evaluation interval, m, have much impact on average cost? (Hint: Look at the two-way interactions.) Is it worth using the express-delivery option?
Example 12.2

TABLE 12.4 Design matrix and simulation results for the 22 factorial design on s and d for the inventory model


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TABLE 12.5 Sample means and variances of the responses for the inventory model

TABLE 12.6 96.667 percent confidence intervals for the expected effects, inventory model


Example 12.3
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