A new quality measure for acceptance and payment with a QC/QA performance specification using Bayesian updating

Abstract

Purpose

This paper introduces a novel quality measure, the percent-within-distribution, or PWD, for acceptance and payment in a quality control/quality assurance (QC/QA) performance specification (PS).

Design/methodology/approach

The new quality measure takes any sample size or distribution and uses a Bayesian updating process to re-estimate parameters of a design distribution as sample observations are fed through the algorithm. This methodology can be employed in a wide range of applications, but the authors demonstrate the use of the measure for a QC/QA PS with upper and lower bounds on 28-day compressive strength of in-place concrete for bridge decks.

Findings

The authors demonstrate the use of this new quality measure to illustrate how it addresses the shortcomings of the percent-within-limits (PWL), which is the current industry standard quality measure. The authors then use the PWD to develop initial pay factors through simulation regimes. The PWD is shown to function better than the PWL with realistic sample lots simulated to represent a variety of industry responses to a new QC/QA PS.

Originality/value

The analytical contribution of this work is the introduction of the new quality measure. However, the practical and managerial contributions of this work are of equal significance.

Citation

Sullivan, J.L., Novak, D., Hernandez, E. and Van Den Berg, N. (2024), "A new quality measure for acceptance and payment with a QC/QA performance specification using Bayesian updating", International Journal of Quality & Reliability Management, Vol. 41 No. 2, pp. 489-508. https://doi.org/10.1108/IJQRM-11-2022-0342