A General Analytic Approach To System Cost Uncertainty Analysis

Paul R. Garvey
Additional contact information
Paul R. Garvey: The MITRE Corporation

A chapter in Cost Analysis and Estimating, 1990, pp 161-181 from Springer

Abstract: Abstract This paper presents the foundations of a recently developed analytic approach to system cost uncertainty analysis. The approach is referred to as the Analytic Cost Probability (ACOP) model; and its structure is sufficiently general to meet the characteristics of any program definition. The analytic nature of the ACOP model facilitates the identification of cost variance drivers and measures their overall impact on the system cost. The ACOP model offers several techniques for treating correlation between cost elements of a work breakdown structure; a technical issue that has not been widely discussed in the literature or accounted for in existing models. An illustrative analysis using the ACOP model on a hypothetical system is presented, and the mathematical foundations of the model are provided so that the cost analysis community may review, comment on, and expand upon the approach within their organizations.

Keywords: System Cost; Engineering Activity; Cost Element; Total System Cost; Analytic Nature (search for similar items in EconPapers)
Date: 1990
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:sprchp:978-1-4612-0995-9_7

Ordering information: This item can be ordered from
http://www.springer.com/9781461209959

DOI: 10.1007/978-1-4612-0995-9_7

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().