Many large-scale, complex engineering systems experience significant cost and schedule overruns during their developments. There are many factors that contribute to these overruns, including increased system complexity, task rework, and the in-ability to exhaustively test all states and configurations of a given system, which often leads to re-design efforts. In this work, we focus specifically on task rework and its impact on project schedule overruns. We demonstrate that heavier tail phenomena present in large-scale program development duration can be caused by task rework. Within this context, we hypothesize that one cause of task rework in a project development effort is misinterpretation of task instructions. We develop a computational framework for estimating the information content of a set of task instructions and the expected time to task completion. This reveals that heavier tailed duration phenomena present in many large-scale project development efforts can arise due to task rework caused by misinterpretation.
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ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 21–24, 2016
Charlotte, North Carolina, USA
Conference Sponsors:
- Design Engineering Division
- Computers and Information in Engineering Division
ISBN:
978-0-7918-5008-4
PROCEEDINGS PAPER
An Information-Theoretic Model of Project Schedule Overruns Caused by Task Rework: A Case for Newspeak
Warren Rooney,
Warren Rooney
Texas A&M University, College Station, TX
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Douglas Allaire
Douglas Allaire
Texas A&M University, College Station, TX
Search for other works by this author on:
Warren Rooney
Texas A&M University, College Station, TX
Douglas Allaire
Texas A&M University, College Station, TX
Paper No:
DETC2016-59677, V01BT02A022; 11 pages
Published Online:
December 5, 2016
Citation
Rooney, W, & Allaire, D. "An Information-Theoretic Model of Project Schedule Overruns Caused by Task Rework: A Case for Newspeak." Proceedings of the ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 1B: 36th Computers and Information in Engineering Conference. Charlotte, North Carolina, USA. August 21–24, 2016. V01BT02A022. ASME. https://doi.org/10.1115/DETC2016-59677
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