采用WMA方法、高中和DES方法来确定库存数量

Muhammad Aldy Fadhli Robby, Rina Candra Noor Santi
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引用次数: 0

摘要

Pusattinta.com商店从事打印机油墨销售。面临的问题是难以确定库存的数量,以满足客户的需求,而不是造成长期的货物积累。针对上述问题,采用Java编程语言,结合WMA、SMA和DES方法,开发了预测应用程序。WMA方法对每一个可用的历史数据赋予不同的权重,SMA是一种取一组观测值并寻找平均值的值平滑预测方法,DES处理两次平滑。其中每个数据都有一个权重符号。的大小是0到1。从3种方法中,我们知道每种方法的平均MSE为WMA: 102,898.57, SMA: 89,579,446和DES: 87,156,989。MSE平均值最小的方法是最合适的方法。
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Implementasi Metode WMA, SMA, dan DES Dalam menentukan Jumlah Stok
Pusattinta.com Store is engaged in selling printer ink. The problem faced is difficult to determine the amount of stock to meet customer needs and not cause accumulation of goods for a long time. With the above problems, a forecasting application was made using the Java programming language with the WMA, SMA, and DES methods. The WMA method is assigned a different weight for each available past historical data, SMA is a value smoothing forecasting method by taking a group of observed values ​​and looking for the average, DES processes smoothing twice. Where each data is given a weight symbol. The magnitude of is 0 to 1. From the 3 methods, it is known that the average MSE of each method is WMA : 102,898.57, SMA : 89,579,446 and DES : 87,156,989. The method with the smallest MSE average is the most appropriate method to use.
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