Volume 28, Issue 4 (IJIEPR 2017)                   IJIEPR 2017, 28(4): 367-376 | Back to browse issues page

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Ph.D. Iran Universirt of Science and Technology , rassoul@iust.ac.ir
Abstract:   (610 Views)

Change point estimation is as an effective method for identifying the time of a change in production and service processes. In most of the statistical quality control literature, it is usually assumed that the quality characteristic of interest is independently and identically distributed over time. It is obvious that this assumption could be easily violated in practice. In this paper, we use maximum likelihood estimation method to estimate when a step change has occurred in a high yield process by allowing a serial correlation between observations. Monte Carlo simulation is used as a vehicle to evaluate performance of the proposed method. Results indicate satisfactory performance for the proposed method.

Full-Text [PDF 303 kb]   (164 Downloads)    
Type of Study: Research | Subject: Quality Control
Received: 2016/08/3 | Accepted: 2017/12/4 | Published: 2018/01/20