Performance Variability and Project Dynamics

TL;DR

This paper introduces a dynamical model for complex cooperative projects, analyzing how fluctuations and system size influence project completion times and delays, with insights into mitigation strategies.

Contribution

The paper develops a dynamical theory capturing performance variability and project dynamics, highlighting the impact of fluctuations and system structure on project completion.

Findings

Average completion time increases with system size.

Large fluctuations can cause significant delays.

Hierarchical or modular project structures mitigate delays.

Abstract

We present a dynamical theory of complex cooperative projects such as large engineering design or software development efforts, comprised of concurrent and interrelated tasks. The model accounts for temporal fluctuations both in task performance and in the interactions between related tasks. We show that as the system size increases, so does the average completion time. Also, for fixed system size, the dynamics of individual project realizations can exhibit large deviations from the average when fluctuations increase past a threshold, causing long delays in completion times. This effect is in agreement with empirical observations, and can be mitigated by arranging projects in a hierarchical or modular structure.