Analyzing Data utilized in Process Control and Continuous ImprovementJeffrey E. Jarrett*
College of Business Administration, University of Rhode Island, Kingston, RI 02881, USA
- *Corresponding Author:
- Jeffrey E. Jarrett
College of Business Administration
University of Rhode Island, USA
Tel: +401 (874) 4169
Fax: 401 (874) 4312
E-mail: [email protected]
Received date: March 14, 2016; Accepted date: March 28, 2016; Published date: March 31, 2016
Citation: Jarrett JE (2016) Analyzing Data utilized in Process Control and Continuous Improvement. Int J Econ Manag Sci 5: 328. doi:10.4172/2162-6359.1000328
Copyright: © 2016 Jarrett JE. 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.
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.