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首页> 外文期刊>Advanced Science Letters >Detecting Abnormalities Behavior in Inventory Management Transactions Using Data Visualization Approaches
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Detecting Abnormalities Behavior in Inventory Management Transactions Using Data Visualization Approaches

机译:使用数据可视化方法检测库存管理交易中的异常行为

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摘要

The Company is engaged in trading and distribution of goods that are often managing many, even the majority of the company’s operating profit margin supported by product price less the selling price. If an error occurs in the entry price of a product, which would automaticallyreduce corporate profits. Many error in entry caused by officers so as a way to reduce these errors by improving the quality of entries officers to detect data entry errors that many commonly analyze errors in the form of a table that has been filtered. This paper proposes a data visualizationapproach for detecting abnormalities in the behavior of officers when input data that caused the error value of the inventory data. Testing of data visualization produce satisfactory feedback for analyst data or user detector, it has marked by the discovery of four entries officer who madea mistake. The result of the investigation of officer show that is. (a) the receipt piling of goods transactions which causes the officer transaction to work in a hurry, (b) the ability of the input that quickly lower the concentration, and (c) interface inventory system used is less informationrecheck good making it more difficult to control the validity of transactions when the assignments pile up.
机译:公司从事商品的商品,往往是众多,即使是公司的大部分营业利润率较少的售价。如果在产品的入口价格中发生错误,那将自动释放公司利润。由官员引起的终止造成的许多错误是通过提高条目官员的质量来减少这些错误的方法,以检测许多通常分析已经过滤的表格的常见误差的数据输入错误。本文提出了一种数据可视化,用于检测导致库存数据误差值的输入数据时官员行为的异常。数据可视化测试会对分析师数据或用户检测器产生令人满意的反馈,它已经标志着一个Madea错误的四个条目官员的发现。官员展示的结果是。 (a)货物交易的收据桩,导致官员交易匆忙工作,(b)输入迅速降低浓度的输入,(c)使用的界面库存系统的信息较少使其更加困难在分配堆积时控制交易的有效性。

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