We are developing cutting-edge, practical and efficient algorithms and frameworks to support multidisciplinary design optimisation. These design methods address the fundamental challenges and uncertainties involved in finding optimal solutions for product design and decision-making activities.
We develop integrated decision analysis methods for asset planning and management. Our team applies this across areas such as: construction project management, risk analysis, workforce planning, flexible manufacturing design and smart scheduling.
We apply data-driven approaches to a wide range of technology decision-making. This includes supply chain design, asset life-cycle analysis, evidence-based decision making and embedding machine learning.