top of page
Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute
Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute

Engineering and Technology Quarterly Reviews

ISSN 2622-9374

Screen Shot 2018-08-15 at 7.28.21 PM.png
Screen Shot 2018-08-15 at 7.28.06 PM.png
Screen Shot 2018-08-15 at 7.28.12 PM.png
Screen Shot 2018-08-15 at 7.28.27 PM.png
crossref
doi
open access

Published: 22 July 2020

Applying Capability Indices with Moving Average and Range Control Charts to Evaluate a Product in a Local Aluminum Plant

Tareq M. Ali

University of Technology, Iraq

journal of social and political sciences
pdf download

Download Full-Text Pdf

doi

10.5281/zenodo.3955315

Pages: 52-62

Keywords: Capability Indices, Defects, Heat Treatment, Control Charts

Abstract

The study of production processes capability is one of the most important statistical process control techniques (SPC). This study allows answering an important question; is the manufacturing system capable of producing a product with fewer defects and according to the wishes and requirements of consumer and customer? The main objective of this study is the assessment of a process capability and indices for the production process of aluminum sections regarding to weight, hardness, coating, tensile strength and heat treatment in a local aluminum plant, these aluminum sections and parts are widely used in industry, building, rails, and many other applications. The study was carried out in one of the local aluminum factory for the production of specific engineering sections, some capability indices were applied to the most affective characteristics on the quality of these produced sections; as weight, hardness, coating, tensile strength, heat treatment, these indices were applied after confirming the statistical control of the production process using the quality control charts, specifically moving average and range control charts.

References

  1. Bissell (1990). How reliable is your capability index. Royal Statistical Society.

  2. ISO  22514- 4(2016). Statistical Methods in Process Management-Capability and Performance: part 4: process capability  estimates and performance measures.

  3. Kaya, I., Kahraman , C., (2011).Process Capability Analyses with Fuzzy Parameters; Expert Systems with Applications. An International Journal archive, 38 (9) , 11918-11927.

  4. Kotz , S., Johnson, N.L, (2002). Process Capability Indices: A Review. Journal of Quality Technology, 34, 1-19.

  5. Montgomery, D.C. (2009). Statistical Quality Control: A Modern Introduction. Wiley, New york.

  6. Mahshid, R. Mansourvar , Z., Hansen, HN.(2018). Tolerance Analysis in Manufacturing Using Process Capability  Ratio  with Measurement Uncertainty,Precision Engineering. 201-210.

  7. Nelson, L.S. (1999). The Calculation of Process Capability Indices. Journal of Quality Technology, 31,249 - 50.

  8. Perakis, M., Xekalaki, E. (2004).  A New Method for Constructing Confidence Intervals for the Index Cpm.

  9. Quality and Reliability Engineering  International , 20 (7), 651-65.

bottom of page