Overview

The problem of portfolio management arises as an asset portfolio – a system of heterogeneous assets – cannot be addressed by existing frameworks for multi-component systems. Due to the system scale and asset diversity, asset portfolios are apt to have an impact on a wider range of stakeholders and involves more criteria when compared to multi-component systems. In other words, portfolio asset management entails not only direct technical measures (e.g. system reliability and cost) but also indirect functional measures (e.g. production output and service level). It is apparent that decision-making at the cross-asset level is associated with investment allocation and therefore exerts substantial effects on the organisation's performance and profitability. Hence, based on multi-criteria decision analysis and multi-objective optimisation approaches, this PhD thesis aims to establish a value-driven framework that integrates the information across diverse assets to offer evidence-based solutions to the problem.

PhD Student

Sanyapong Petchrompo

Supervisor

Ajith Parlikad