| 摘要 |
<p>POS data are inputted at a step S1. At a step S2, the inputted POS data are put in order. For example, a daily sale quantity data set for each commodity is prepared by removing the day(s) in which no stock exists at the time of opening and the days(s) in which commodity(ies) is out of stock at opening. At a step S3, unsteady commodities are removed. At a step S4, basic statistical quantities of the daily sales quantity of each commodity, such as a mean value, standard deviation, maximum value, minimum value, distortion value, peak value, Geary value, etc., are calculated. At a step S5, the data are classified into a plurality of types determined in advance such as a Poisson type, a normal type, a Causal type, and other types. An optimum supplementary ordering quantity is determined on the basis of the classification described above.</p> |
