Robust Decision Making: better decisions under uncertainty

Abstract

Robust decision making is a critical aspect of project management that involves making well-informed, confident decisions in the face of uncertainty and ambiguity. The objective of this scientific paper is to provide a comprehensive review of the current state of the art in robust decision making in project management. The paper will explore the key principles and practices of robust decision making, including the importance of data gathering and analysis, considering different options, involving stakeholders, anticipating uncertainty, and continuously monitoring and adapting. The paper will also examine the challenges and limitations of robust decision making in project management, and provide insights into future directions for research in this area. This paper aims to provide project managers with a deeper understanding of the principles and practices of robust decision making, and to inform future research in this area. By doing so, this paper aims to contribute to the development of more effective and efficient approaches to project management and decision making.