Abstract
Statistical Process Control (SPC) and Automatic Process Control (APC) are two different methods for quality improvement and process adjustment that have been developed in isolation from each other and applied within different industries. SPC minimizes variability by monitoring and eliminating the assignable causes of variation whereas APC achieves the same objective by handling manipulated process variables to keep the process outputs on target. Initially, both methods were considered to be in conflict with each other, until their advocates realized the fact that the techniques being applied were complementary. Consequently, a considerable amount of work has appeared in the literature regarding the joint use of APC and SPC that provided a breakthrough in the field of process control. This paper highlights the developments and the need for the integration of this two techniques Also it highlights the associated issues and possible future directions of research. An example that require the integration of both methods is presented.
| Original language | English |
|---|---|
| Title of host publication | IEEM 2014 - 2014 IEEE International Conference on Industrial Engineering and Engineering Management |
| Publisher | IEEE Computer Society |
| Pages | 360-364 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781479964109 |
| DOIs | |
| State | Published - 2014 |
Publication series
| Name | IEEE International Conference on Industrial Engineering and Engineering Management |
|---|---|
| Volume | 2015-January |
| ISSN (Print) | 2157-3611 |
| ISSN (Electronic) | 2157-362X |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
Keywords
- Automatic Process Control
- Integration of APC and SPC
- Statistical Process Control
ASJC Scopus subject areas
- Business, Management and Accounting (miscellaneous)
- Industrial and Manufacturing Engineering
- Safety, Risk, Reliability and Quality
