UNDERSTANDING TASK EXECUTION TIME IN RELATION TO THE MULTILAYER PROJECT STRUCTURE: EMPIRICAL EVIDENCE
DS 96: The 20th International DSM Conference
Editor: Leardi, Carlo; Browning, Tyson R.; Eppinger, Steven D.; Becerril, Lucia
Author: Piccolo, Sebastiano A. (1); Trauer, Jakob (2); Wilberg, Julian (2); Maier, Anja M. (1)
Institution: 1: Technical University of Denmark, Department of Management Engineering; 2: Technical University of Munich, Department of Mechanical Engineering
Section: Using Data
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: Multilayer Networks, MDM, Task Execution Time Estimation, Design Project, Data Science