Dissertation/Thesis Abstract

Statistical capability as an element of business performance analysis
by Braggs, James E., M.S., California State University, Long Beach, 2012, 63; 1511335
Abstract (Summary)

Statistical capability analysis involves superimposing the quantitative requirements of a customer onto the probabilistic outcomes of a business process. The net result is an estimate of the probability that those specific customer requirements can be met or exceeded. Armed with such information, business leaders can structure their respective processes to reduce costs, while more precisely targeting customer requirements. This article provides a case study in the use of statistical capability analysis to predict a service business' capability on performance metrics. The analysis begins by evaluating the prerequisites of statistical capability: statistical control, sufficient statistical power, and the elimination of alternative competing hypotheses. Although the use of statistical capability analysis is well known in manufacturing contexts, this article contends that the analysis is broadly applicable to most business processes, assuming the foundational assumptions of this analysis are known and the methodological requirements are met.

Indexing (document details)
Advisor: Korosteleva, Olga
Commitee:
School: California State University, Long Beach
School Location: United States -- California
Source: MAI 50/05M, Masters Abstracts International
Source Type: DISSERTATION
Subjects: Statistics, Operations research
Keywords:
Publication Number: 1511335
ISBN: 978-1-267-30849-8
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