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Unit 1: Introduction to System Simulation



            for instance, should focus their inventory control strategy on anticipating consumer demand  Notes
            and diminshing loss due to spoilage, whereas a large stable goods retailer like Wal-Mart, Kmart
            or Target can afford to make large purchase orders of items, store them in a warehouse and
            distribute them internally when receiving volume purchasing discounts.

            The Effectiveness of Inventory Control Simulations

            The effectiveness of business simulation software is not globally accepted, but it has gained
            important  credibility by  being  used  in  at  least  three  American  universities.  As  per  the
            Entrepreneur Magazine, simulation software is being used by students under the administration
            of professors or  assistant professors at the University of Chicago, Seton Hall University and
            Michigan State University. In spite of the growing popularity of business simulation software,
            its correctness can only be as good as its programming, meaning that programs will be estimated
            on a case-by-case basis.


                 Example:  Suppose you  work  in  a retail  store  as  a  inventory  manager in  inventory
            mananagement department. Now as a manager it is your responsibility to keep restock certain
            item in, the 'store by ordering it from the wholesaler. For this you want to adopt a simple policy
            for ordering new supplies:  you have to fix that  'When your stock goes down to P items here P
            called reorder point, you  will order Q more items , here Q called as  reorder quantity from the
            wholesaler.'  If the demand on any day exceeds the amount of inventory on hand, the excess
            represents lost sale and loss of goodwill.  On the other hand, overstocking implies increased
            carrying cost (i.e., cost of storage, insurance, interest, deterioration, etc.). Ordering too frequently
            will result in excessive reorder cost. Assume the following conditions:
            1.   There is a 3-day lag between the order and arrival. The merchandise is ordered at the end
                 of the day and is received at the beginning of the fourth day. That is, merchandise ordered
                 on the evening of the ith day is received on the morning of the (i + 3)rd day.
            2.   For each unit of inventory the carrying cost for each night is ` 0.75.

            3.   Each unit out of stock when ordered results into a loss of goodwill worth ` 2.00 per unit
                 plus loss of  ` 16.00 net income, that would have resulted in its sale, or a total loss  of
                  ` 18.00 per unit. Lost sales are lost forever; they cannot be backordered.
            4.   Placement of each order costs ` 75.00 regardless of the number of units ordered.
            5.   The demand in a day can be for any number of units between 0 and 99, each equiprobable.
            6.   There is never more than one replenishment order outstanding.

            7.   Initially we have 115 units on hand and no reorder outstanding.
            With these conditions in force you have been asked to compare the following five replenishment
            policies and seJect the one that has the minimum total cost (i.e., reorder cost + carrying cost + lost
            sales cost).
                                                 P                           Q
                                           (reorder pomt)              (reorder quantity)
                    Policy I                    125                          150
                    Policy II                   125                          250

                    Policy III                  150                          250
                    Policy IV                   175                          250
                    Policy V                    175                          300



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