| 摘要 |
<p>Input data containing a customer service lifetime, data reflecting previous production and order data is accessed using a low pass filter on a section of the order data to derive low frequency components representing a smoothed order data series, seeking a local maximum and carrying out an exponential prediction if there is a local maximum to produce a final quantity of parts over the remaining periods. The method involves accessing input data containing a customer service lifetime starting at the end of mass production of an associated product, data reflecting the previously accumulated production of the product and a series of order data reflecting previous amounts of the customer service parts ordered during a certain period, using a low pass filter on at least one section of the order data to derive low frequency components representing a smoothed order data series, seeking a local maximum and carrying out an exponential prediction if there is a local maximum to produce a final quantity of parts over the remaining periods. Independent claims are also included for the following: (a) an arrangement for prediction of final purchase quantity for customer service parts (b) software for prediction of final purchase quantity for customer service parts.</p> |
