Table of Contents
Journal of Quality and Reliability Engineering
Volume 2014 (2014), Article ID 458418, 4 pages
http://dx.doi.org/10.1155/2014/458418
Research Article

Short-Run Control Chart for Multiproducts with Multi-Items Based on Unequal Means and Variances

Faculty of Industrial and Mechanical Engineering, Islamic Azad University, Qazvin Branch, Qazvin, Iran

Received 31 October 2013; Revised 8 May 2014; Accepted 26 May 2014; Published 25 September 2014

Academic Editor: Shey-Huei Sheu

Copyright © 2014 Soroush Avakh Darestani and Neda Aminpour. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Statistical process control (SPC) is one of the most important statistical tools for monitoring production processes. It can be effectively designed and implemented when the process or product specifications are consecutively observed from a mass production condition. Normally, short-cycle productions do not have sufficient data to implement SPC. This research introduced how to design and implement short-run control chart for batch production conditions. Monitoring critical specifications of supplied parts to automotive industry was proposed. The results revealed that unequal variables followed normal distribution and can be fluctuated over time for the purpose of monitoring multiple products for each product including multidimensions with unequal means and variances from the central line to control the chart. Out-of-control signals and nonrandom patterns can be recognized on the developed short-run control chart accordingly.