Discussion Of The Best Order Amount Decision - An Example Of Bluetooth Industry -

• Main Authors: Chung-Hong Chen, 陳忠宏
• Other Authors: Kuo-Hwa Chang
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/sq5fu5

碩士 === 中原大學 === 工業工程研究所 === 93 === Since Y2K of consuming type science and technology , bluetooth technical application has already been derived a lot of peripheral goods like the bluetooth earphone by Dogle that the simple materials are transmitted and used, three-dimensional sound earphone, bluetooth car are by avoiding holding the earphone , bluetooth information products , blue home radio telephone of bud etc.. Consuming electronic product, products life cycle is shortenned, a small amount of various products have already become the characteristic of the industry, it is unsatisfactory to combine with the whole industry's great environment, the customer is unwilling to give Forcast the unwilling situation got the material ready too, how the effective one pigeonholes the order cost to make the profit largest promptly the most low, make enterprises reflect the market trend immediately , will become enterprise's successful key index . This bluetooth earphone goods of research are examples, predict that the way is based on historical materials (predicts the law Simple ) and receive the demand of expecting, and then import the relevant parameter to Microsoft and try being regarded as software Excel like the purchasing cost, the depreciable cost of the stock , urgent order cost , price , interest lose , expect the demand , lot-size etc., is it calculate out to can produce by Poisson why it will be clear probability of item the order to distribute, so under expecting demand, the quantity of this order will produce probability in some specific interval range. Finally , calculate the profit of different orders. This research lot-size orders the unit for one by a thousand, for example expect demand to be 1552, expect demand to lie between lot-size 1000 and 2000, calculate and order 1000 and profit ordering 2000, is it order by data how much quantity profit most heavy then make best decision of order amount to get.