Quantifying Business Process Optimization using Regression
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.
How to Cite
Miyambu, G. R. & Seeletse, S. M. (2015). Quantifying Business Process Optimization using Regression. American Journal of Applied Sciences, 12(12), 945-951. https://doi.org/10.3844/ajassp.2015.945.951
© 2020 Gezani Richman Miyambu and Solly Matshonisa Seeletse. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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