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Title:

Effect of Lot and Sublot Sizes on Percent Within Limits Based on IRI as the Acceptance Quality Characteristic

Accession Number:

01624623

Record Type:

Component

Abstract:

The construction quality of a lot is often measured by collecting and testing a few samples. The statistics of an acceptance quality characteristic (AQC) of the lot determined based on the samples is used to make an inference on the overall construction quality. The most commonly used quality measure to quantify the quality is percent within limits (PWL). For performance-related construction specifications, the PWL value of a lot is related to its expected future performance. While a contractor is paid an incentive if the measured quality is better than acceptable quality limits (AQL), the contractor may be penalized if the measured quality is less than AQL. Therefore, the accuracy of PWL estimation is important to minimize over/under payment to the contractor for the produced quality. The PWL value of a lot depends on the statistical parameters obtained from the samples. The estimation of PWL for a continuous AQC such as International Roughness Index (IRI) depends on the lot and sublot size. This paper evaluates the effects of lot and sublot sizes on estimation of PWL. The results show that as the sublot size increases, the variability in measured IRI values decreases and the PWL value increases if the mean IRI obtained for all the sublot sizes is lower than the upper specification limit irrespective of the lot size. On the other hand, if the mean IRI value of a lot is above the upper specification limit, then as the sublot size increases, the variability in measured IRI values decreases and the PWL value decreases. Pay factors for smaller lot sizes represent more rational justification of payment based on true quality.

Supplemental Notes:

This paper was sponsored by TRB committee AFH20 Standing Committee on Quality Assurance Management. Alternate title: Effect of Lot and Sublot Sizes on PWL Based on IRI as the Acceptance Quality Characteristic.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-03415

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Haider, Syed Waqar
Musunuru, Gopikrishna
Chatti, Karim

Pagination:

15p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Identifier Terms:

International Roughness Index

Uncontrolled Terms:

Percent within limits

Subject Areas:

Construction; Highways; Pavements

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-03415

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 11:17AM