@inproceedings{8f824930c3bb44bf9bf1aebe776f4f03,
title = "Understanding task execution time in relation to the multilayer project structure: Empirical evidence",
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.",
keywords = "Data science, Design project, MDM, Multilayer networks, Task execution time estimation",
author = "Piccolo, {Sebastiano A.} and Jakob Trauer and Julian Wilberg and Maier, {Anja M.}",
year = "2018",
language = "English",
series = "Proceedings of the 20th International Dependency and Structure Modeling Conference, DSM 2018",
pages = "129--138",
editor = "Lucia Becerril and Carlo Leardi and Browning, {Tyson R.} and Eppinger, {Steven D.}",
booktitle = "Proceedings of the 20th International Dependency and Structure Modeling Conference, DSM 2018",
publisher = "Lehrstuhl fur Produktentwicklung und Leichtbau",
note = "20th International Dependency and Structure Modeling Conference, DSM 2018 ; Conference date: 15-10-2018 Through 17-10-2018",
}