الفهرس | Only 14 pages are availabe for public view |
Abstract In today’s challenging and rapidly changing environment, the competition become more tough and complex. An organization want to overcome its competitors has to create and leverage its capabilities. The heart of high-performance entities is decision making process. The decision-making process will be highly effective as long as it’s based on data analysis and mining techniques. Conventional methods of data analysis, based mainly on human being dealing directly with the particular data, which do not really scale to handle along with large data sets. The particular explosive growth in information and databases has produced an urgent need with regard to new techniques and equipment that may intelligently and instantly transform the processed info into useful information and knowledge. Consequently, data mining has changed into a research area together with increasing importance. Organizations of all sizes have started to develop and deploy data mining technologies to leverage data resources to enhance their decision-making capabilities. In recent years, companies have started to realize the potential of using data mining techniques as a form of competitive advantage. Business information received from data analysis and data mining is a critical success factor for companies wishing to maximize competitive advantage. -IXBeing a part and the head of the operations team of “Delta Carbon” an industrial gases’ producer (Medical Oxygen), there was a responsibility of searching a way that enhance our operations to meet the oxygen demand without pushing all intensive energy processes which definitely will affect the cost, predicting influencing parameters under different circumstances will enable us to overcome rapid fluctuation in demand due to COVID-19 circumstances. Through using data analysis and mining techniques we were able to create eight scenarios that predicting LOX yield under different circumstances. Those scenarios reveal for us hidden wastes and give us a new way of adjustments of operating conditions of the ASU that wasn’t observable previously, the final results if were widely deployed and addressed earlier during COVID-19, we could avoid and overcome a lot of emergencies occurred. I had used one of latest and modern software packages for data mining which is IBM SPSS Modeler “Version 18” to run a decision tree technique based on CHAID (Chi square automatic interaction detection) algorith |