Call for papers in Quality and Reliability Engineering International

News

  • Author: Statistics Views
  • Date: 10 April 2013

We are pleased to announce a Call for Papers for a special issue in Nonparametric Statistical Process Charts in Quality and Reliability Engineering International.

Statistical process control (SPC) charts are widely used in the industry for monitoring the stability and the efficacy of processes (e.g. manufacturing processes, health care systems, internet traffic flow, and so forth) based on observed time-ordered data. Traditional control charts require the assumption that the process response distribution follows a parametric form (e.g. normal). In practice, however, this assumption may not hold, in other words, the process may not follow the pre- specified parametric distribution. In the literature, it has been well demonstrated that results from the traditional control charts using the pre-specified distribution in their design may not be reliable because their actual false alarm rates could be substantially larger or smaller than the assumed false alarm rate. A direct consequence of this could be that much labor and many resources are wasted, or that many defective products are manufactured without notice. Therefore, in cases when no parametric form of the process response distribution is available or when no parametric form is validated properly beforehand, control charts without requiring the specication of a parametric form for the process response distribution, or simply nonparametric (distribution-free) statistical process control (NSPC) charts, should be considered.

thumbnail image: Call for papers in Quality and Reliability Engineering International

There has been a huge growth in NSPC research in recent years. The goal of this special issue is to review and highlight what has been done, bring to light the latest cutting edge research in the area and provide future directions. The special issue will cover all topics related to NSPC, including but not limited to (i) phase I NSPC, (ii) phase II NSPC, (iii) NSPC for monitoring discrete or categorical data, and (iv) new and innovative applications including case studies involving NSPC. Papers must contain high-quality original contributions, and be prepared in accordance with the QREI standards and guidelines. Submitted papers should be original, not previously published, and not under consideration for publication elsewhere. All papers will be reviewed following the regular review procedure of QREI.

Paper Submission

Submit manuscripts through the online Manuscript Central system at http://mc.manuscriptcentral.com/qre. Please select Special Issue - Nonparametric Statistical Process Control under Manuscript Type of your submission.

Guest Editorial Board

Subha Chakraborti
Professor of Statistics
University of Alabama
Tuscaloosa, AL 35487
USA
schakrab@cba.ua.edu

Peihua Qiu
Professor of Statistics
University of Minnesota
Minneapolis, MN 55455
USA
qiuxx008@umn.edu

Amitava Mukherjee
Faculty in Quantitative Methods
Indian Institute of Management Udaipur
Rajasthan, 313001
India
amitava.mukherjee@iimu.ac.in

Important Dates December 1, 2013: Last date for paper submission for full consideration

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