Assessment of qualitative factors affecting uncertainty measurement using AHP

Nitin K. Mandavgade, S.B. Jaju and R.R. Lakhe

International Journal of Industrial and Systems Engineering, 2015, vol. 21, issue 3, 277-301

Abstract: The uncertainty of measurement for various testing operations is affected by quantitative and qualitative factors. The effects of quantitative factors can be estimated using statistical approach, but the same for qualitative factors is difficult to achieve. The measurement of uncertainty in case of various testing processes may be affected by qualitative factors like operator, sample, environmental conditions and machine interference. Various sub-factors related to operator like knowledge, experience, training and attitude may affect the overall performance of test results. The analytical hierarchy process (AHP) is the decision making tool used for ranking of these factors. The objective of paper is to rank these factors using AHP, which is used by the management or administrator to set the strategy for quality improvement by decreasing the uncertainty of measurement.

Keywords: uncertainty measurement; analytical hierarchy process; AHP; testing operations; quality improvement. (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.inderscience.com/link.php?id=72267 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:21:y:2015:i:3:p:277-301

Access Statistics for this article

More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().