Economic design of cumulative count of conforming control charts based on average number of inspected items

Authors

Department of Industrial Engineering, Yazd University, Yazd, P.O. Box 89195-741, Iran.

Abstract

Nowadays, continuous improvement can be regarded as the essence of survival and growth in order to not only increase the competition in global market, but also requirement for ever-decreasing defect levels in processes. Therefore, new statistical analysis techniques and decision-making procedures have been continuously evolved, both to handle high quality processes and to look for process improvement opportunities. CCC-r chart, or extended approach of CCC charts, is generally a technique for high quality processes, when nonconforming items are rarely observed. This study develops a mathematical model based on the average number of inspected items for the economic design of CCC-r chart, so that the average cost per item is minimized. The optimal designed parameters for di erent nonconforming fractions and di erent parameters in each iteration are calculated. In addition, with respect to Type I error ( ) and Type II error ( ) in the process, sensitivity analysis of the model is carried out.

Keywords


Volume 24, Issue 1 - Serial Number 1
Transactions on Industrial Engineering (E)
February 2017
Pages 330-341
  • Receive Date: 14 February 2017
  • Revise Date: 22 December 2024
  • Accept Date: 27 July 2017