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

机译：使用回归量化业务流程优化科学出版物

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> >The paper applies regression methods to model BusinessProcess Optimisation (BPO) in order to derive measures for the extent of BPOachievement if efforts to optimise have already started. This will help toidentify components of business that stillneed to be improved if full optimisation has not yet been achieved in abusiness. Regression methods were used to explain the tentative relationship ofBPO with the variables identified as components of BPO. Two models (one withdummy coefficients and another with probabilistic coefficients) were developed.The first one was found to be unsuitable and lacked resources for furtherdevelopment. The second was satisfactory. A measure of BPO progress was thendeveloped. The data used in the experiments were obtained from a private bankin South Africa. A regression model was designed and then fitted,statistically tested and found to be acceptable. Also, an estimate of themeasure of BPO attainment level was developed. The study achieved its maingoal, but acknowledgment is made to do more experiments with several largerdata sets.
机译： > >本文将回归方法应用于BusinessProcess Optimization（BPO）建模，以便在已经开始进行优化的情况下得出BPO实现程度的度量。如果企业中尚未实现全面优化，这将有助于识别仍需改进的业务组件。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）。第一个模型不适合且缺乏进一步开发的资源。第二个令人满意。然后开发了衡量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，统计检验并认为是可接受的。此外，还对BPO达到水平的方法进行了评估。该研究达到了主要目标，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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