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Uncertainty in through-life costing-review and perspectives

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posted on 2011-02-18, 12:31 authored by Yee GohYee Goh, Linda B. Newnes, Antony R. Mileham, Chris McMahon, Mohammad E. Saravi
Estimating through-life cost (TLC) is an area that is critical to many industrial sectors, and in particular, within the defense and aerospace where products are complex and have extended life cycles. One of the key problems in modeling the cost of these products is the limited life-cycle information at the early stage. This leads to epistemic and aleatory uncertainty within the estimation process in terms of data, estimation techniques, and scenarios analysis. This paper presents a review of the uncertainty classification in engineering literature and the nature of uncertainty in TLC estimation. Based on the review, the paper then presents a critique of the current uncertaintymodeling approaches in cost estimation and concludes with suggestion for the requirement of a different approach to handling uncertainty in TLC. The potential value of imprecise probability should be explored within the domain of TLC to assist cost estimators and decision makers in understanding and assessing the uncertainty. The implication of such a representation in terms of decision making under risk and decision making under uncertainty is also discussed.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

GOH, Y.M. ... et al, 2010. Uncertainty in through-life costing-review and perspectives. IEEE Transactions on Engineering Management, 57 (4), pp. 689-701.

Publisher

© IEEE

Version

  • VoR (Version of Record)

Publication date

2010

Notes

This item is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

ISSN

0018-9391

Language

  • en