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432   CHAPTER 10 INVENTORY MODELS


                                     Figure 10.9 Probability Distribution of Demand for the ACR Problem Showing the
                                     Location of Q*


                                                  P (demand  Q*) = 0.7143

                                                                                     = 14






                                                                        150
                                                                         Q* = 158





                                                     Pðdemand   Q Þ¼   c u  ¼   200  ¼ 0:7143
                                                                    ðc u þ c o Þ  200 þ 80
                                       We can use the normal probability distribution for demand as shown in Figure 10.9
                                     to find the order quantity that satisfies the condition that P(demand   Q*) ¼ 0.7143.
                                     From Appendix A, we see that 0.7143 of the area in the left tail of the normal
                                     probability distribution occurs at z ¼ 0.57 standard deviations above the mean.
                                     With a mean demand of   ¼ 150 automobiles and a standard deviation of s ¼ 14
                                     automobiles, we have:
                     EXCEL file
                                                              Q ¼   þ 0:57
                       SINGLE-PERIOD
                                                                ¼ 150 þ 0:57ð14Þ¼ 158
                    An example of a single-  So, ACR should plan to have 158 4WDs available for the weekend. Note that in this
                    period inventory model  case the cost of overestimation is less than the cost of underestimation. So ACR is
                    with probabilistic demand  willing to risk a higher probability of overestimating demand and hence a higher
                    described by a normal
                    probability distribution is  probability of a surplus. In fact, ACR’s optimal order quantity has a 0.7143 proba-
                    considered in Problem 15.  bility of a surplus and a 1   0.7143 ¼ 0.2857 probability of a stock-out. As a result,
                                     the probability is 0.2857 that all 158 4WDs will be rented during the weekend.




                      NOTES AND COMMENTS


                      1 In any probabilistic inventory model, the  2 In the single-period inventory model, the value
                         assumption about the probability distribution for  of c u /(c u + c o ) plays a critical role in selecting
                         demand is critical and can affect the      the order quantity [see Equation (10.36)].
                         recommended inventory decision. In the     Whenever c u ¼ c o , c u /(c u + c o ) equals 0.50; in
                         problems presented in this section, we used the  this case, we should select an order quantity
                         uniform and the normal probability distributions to  corresponding to the median demand. With
                         describe demand. In some situations, other  this choice, a stock-out is just as likely as a
                         probability distributions may be more      surplus because the two costs are equal.
                         appropriate. In using probabilistic inventory  However, whenever c u < c o , a smaller order
                         models, we must exercise care in selecting the  quantity will be recommended. In this case, the
                         probability distribution that most realistically  smaller order quantity will provide a higher
                         describes demand.                          probability of a stock-out; however, the more






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