Determining Bounds on Assumption Errors in Operational Analysis. (12th January 2014)

• Record Type: Journal Article
• Authors: Bengtson, Neal M.
• Other Names: Lee Zne-Jung Academic Editor.
• Is Part Of: Journal of optimization. Volume 2014(2014)
• Publication Date: 2014-01-12
• Subjects: Mathematical optimization -- Periodicals; Structural optimization -- Periodicals; Mathematical optimization; Structural optimization; Periodicals; Electronic journals; 519.6
• DOI: 10.1155/2014/460570
• Languages: English
• ISSNs: 2356-752X

Abstract

Abstract : The technique of operational analysis (OA) is used in the study of systems performance, mainly for estimating mean values of various measures of interest, such as, number of jobs at a device and response times. The basic principles of operational analysis allow errors in assumptions to be quantified over a time period. The assumptions which are used to derive the operational analysis relationships are studied. Using Karush-Kuhn-Tucker (KKT) conditions bounds on error measures of these OA relationships are found. Examples of these bounds are used for representative performance measures to show limits on the difference between true performance values and those estimated by operational analysis relationships. A technique for finding tolerance limits on the bounds is demonstrated with a simulation example.