Title
Automation of Prospective Statistical Process Control Chart Method for Early Detection of Outbreaks
Degree Type
Creative Component
Semester of Graduation
Spring 2018
Department
Theses & dissertations (College of Business)
First Major Professor
James Davis
Degree(s)
Master of Science (MS)
Major(s)
Information Systems
Abstract
The main objective of this research is to predict the outbreaks in swine production units and optimize the business process by automating the early prediction of outbreaks for all the production systems in the swine farms. The early detection of outbreaks can be done by using a prospective Statistical process control method which can use any statistical process control charts (SPC) like Shewhart charts (i.e. X-Bar charts and Individual-X charts) and so on. However, the requirement here is to detect small shifts in the process mean over time. So, using Exponential Weighted Moving Averages to produce the SPC chart is considered as a better solution. The optimization of the business process is achieved by automating the prediction process of multiple production units which increases time efficiency, consistency of the output and robustness.
Copyright Owner
Santhi Buddabathini
Copyright Year
2018
File Format
application/pdf
Recommended Citation
Buddabathini, Santhi, "Automation of Prospective Statistical Process Control Chart Method for Early Detection of Outbreaks" (2018). Creative Components. 3.
https://lib.dr.iastate.edu/creativecomponents/3
