Page 180 - Orlicky's Material Requirements Planning
P. 180

CHAPTER 8   Lot Sizing                                                          159


        EVALUATING LOT-SIZING TECHNIQUES

        Every one of the lot-sizing techniques reviewed earlier is imperfect—each suffers from
        some deficiency, as has been illustrated. In evaluating the relative effectiveness of these
        techniques, the difficulty lies in the fact that the performance of the algorithms varies
        depending on the net requirements data used and on the ratio of setup and unit costs.
        Furthermore, some of the techniques assume gradual, steady-rate inventory depletion,
        whereas others assume discrete depletion, which affects the way inventory carrying cost
        would have to be computed for purposes of comparison. Ignoring this distinction and
        basing all inventory carrying costs on discrete depletion at the beginning of each period,
        the performance of the economics-oriented lot-sizing algorithms for which the same data
        set was used in the preceding examples compares as follows (details in Figure 8-15):

                                      Total cost
             Wagner-Whitin                $395
             Least unit cost                420
             Least total cost               445
             Period order quantity          455
             Economic order quantity        506

           FIGURE 8-15
                                          Number of   Setup     Part-    Carrying    Total
           Comparison of        Algorithm   setups    cost, $   periods    cost, $   cost, $
           lot-sizing            W-W          3        300        95         95      395
           algorithm             LUC          3        300       120       120       420
           performance.          LTC          2        200       245       245       445
                                 POQ          3        300       155       155       455
                                 EOQ          3        300       206       206       506


             These figures are meaningful only in relation to the net requirements schedule, the
        setup cost ($100), and the unit cost ($50) used in the examples. A change in these data will
        produce a different sequence. For example, if setup were $300, the POQ would outper-
        form LTC and match LUC in effectiveness. If the requirements data are changed, the
        example can be rigged so as to produce practically any results desired, including the EOQ
                                              6
        equal in performance to Wagner-Whitin. The factors that affect the relative effectiveness
        of the individual lot-sizing techniques are the following:
             1. The variability of demand
             2. The length of the planning horizon
             3. The size of the planning period
             4. The ratio of setup and unit costs



        6  W. L. Berry, “Lot Sizing Procedures for Requirements Planning Systems. A Framework for Analysis.” Production &
         Inventory Management. 13(2), 1972.
   175   176   177   178   179   180   181   182   183   184   185