Document Type
Article
Date of Original Version
3-31-2016
Abstract
Process control under the guidelines of reducing the costs of operations, production and inspection and produce high quality service and operations is examine to see if data from various parent populations can change the results and interpretations. With the purpose of achieving a minimal amount or error generation from the examination of control charts in univariate SPC, we compare data taken from three parent populations, i.e., Normal, Poisson and Exponential. Data and graphical analysis of Statistics permits one to visualize problems associated with where data comes from and whether it is satisfactory to use. We focus of univariate application but discuss multivariate application. This research will enable us to evaluate the conditions brought on by serial correlation and time series characteristics of models.
Keywords
Process control; Operations; Production costs; Data
Citation/Publisher Attribution
Jarrett, J. E. (2016). Analyzing data utilized in process control and continuous improvement. International Journal of Economics & Management Science, 5 (2), 328. doi: 10.4172/2162-6359.1000328
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.