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首页> 外文期刊>American journal of applied sciences >Quantifying Business Process Optimization using Regression
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Quantifying Business Process Optimization using Regression

机译：使用回归量化业务流程优化

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The paper applies regression methods to model Business Process Optimisation (BPO) in order to derive measures for the extent of BPO achievement if efforts to optimise have already started. This will help to identify components of business that still need to be improved if full optimisation has not yet been achieved in a business. Regression methods were used to explain the tentative relationship of BPO with the variables identified as components of BPO. Two models (one with dummy coefficients and another with probabilistic coefficients) were developed. The first one was found to be unsuitable and lacked resources for further development. The second was satisfactory. A measure of BPO progress was then developed. The data used in the experiments were obtained from a private bank in South Africa. A regression model was designed and then fitted, statistically tested and found to be acceptable. Also, an estimate of the measure of BPO attainment level was developed. The study achieved its main goal, but acknowledgment is made to do more experiments with several larger data sets.
机译：本文应用回归方法对业务流程优化（BPO）进行建模，以便在优化工作已经开始的情况下得出BPO成就程度的度量。如果尚未在业务中实现全面优化，这将有助于识别仍需要改进的业务组件。回归方法用于解释BPO与确定为BPO组成部分的变量之间的暂定关系。开发了两个模型（一个具有虚拟系数，另一个具有概率系数）。发现第一个不合适，缺乏进一步发展的资源。第二个令人满意。然后制定了衡量BPO进度的方法。实验中使用的数据来自南非的一家私人银行。设计了回归模型，然后进行拟合，统计测试并认为是可接受的。此外，还对BPO达到水平进行了评估。该研究达到了其主要目标，但人们承认要对几个更大的数据集进行更多的实验。

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