Quantifying Business Process Optimization using Regression | Science Publications

American Journal of Applied Sciences

Solly Matshonisa Seeletse¹  Gezani Richman Miyambu¹ 

关键词: Business Positioning;    Maximise Benefits;    Minimise Detriments;    Optimisation;   

DOI  :  10.3844/ajassp.2015.945.951

学科分类：自然科学（综合）

来源: Science Publications

【 摘 要 】

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.

【 授权许可】

Unknown