Understanding task execution time in relation to the multilayer project structure: Empirical evidence

Sebastiano Piccolo, Jakob Trauer, Julian Wilberg, Anja Maier

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

Estimating task execution time is essential for planning and managing engineering projects. Many process scheduling and optimisation tools and methods require precise task execution time estimates. However, estimates are often too optimistic, potentially harming the usefulness of such tools. In this paper, we develop a methodology to aggregate multiple data sources into a Multiple Domain Matrix and show that its structural properties correlate with task execution time.
Specifically, using data from a real-world engineering case, we show that the size of a task, the number of people assigned to it, and the number of interfaces directly correlate with task execution time. We discuss how these measures are available during the planning stage of the process and how people can use them to obtain better estimates.
Original languageEnglish
Title of host publicationProceedings of the 20th International Dependency and Structure Modeling Conference (DSM 2018)
PublisherDesign Society
Publication date2018
Pages129-138
ISBN (Electronic) 978-3-00-057492-4
Publication statusPublished - 2018
Event20th International DSM Conference - Trieste, Italy
Duration: 15 Oct 201815 Oct 2018

Conference

Conference20th International DSM Conference
Country/TerritoryItaly
CityTrieste
Period15/10/201815/10/2018

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