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The Impact of Risk Identification Bi...

Reeves, John Daniel, Jr.

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The Impact of Risk Identification Biases and Trends on Space System Project Performance.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The Impact of Risk Identification Biases and Trends on Space System Project Performance./
作者:	Reeves, John Daniel, Jr.
面頁冊數:	140 p.
附註:	Source: Dissertation Abstracts International, Volume: 74-07(E), Section: B.
Contained By:	Dissertation Abstracts International74-07B(E).
標題:	Engineering, General. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3557501
ISBN:	9781303006333

The Impact of Risk Identification Biases and Trends on Space System Project Performance.
Reeves, John Daniel, Jr.

The Impact of Risk Identification Biases and Trends on Space System Project Performance. - 140 p.

Source: Dissertation Abstracts International, Volume: 74-07(E), Section: B.

Thesis (Ph.D.)--The George Washington University, 2013.

This item is not available from ProQuest Dissertations & Theses.

Risk identification during the design and development phases of complex systems is commonly implemented but often fails to result in the identification of events and circumstances that truly challenge project performance. Inefficiencies in cost and schedule estimation are usually held accountable for cost and schedule overruns, but the true root cause is often the realization of programmatic and technical risks. This research explores risk identification biases and trends that are pervasive during space system development and that limit the awareness of such risks. The findings and results provide insight into how systems engineers and risk managers can potentially avoid these shortfalls in the future.

ISBN: 9781303006333Subjects--Topical Terms:

1020744
Engineering, General.

The Impact of Risk Identification Biases and Trends on Space System Project Performance.
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500 $a Adviser: Thomas Holzer.
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506 $a This item must not be sold to any third party vendors.
520 $a Risk identification during the design and development phases of complex systems is commonly implemented but often fails to result in the identification of events and circumstances that truly challenge project performance. Inefficiencies in cost and schedule estimation are usually held accountable for cost and schedule overruns, but the true root cause is often the realization of programmatic and technical risks. This research explores risk identification biases and trends that are pervasive during space system development and that limit the awareness of such risks. The findings and results provide insight into how systems engineers and risk managers can potentially avoid these shortfalls in the future.
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