An explainability oriented approach to manage dependent supply chain risks. This project aims to help supply chain companies model the impact on their operations by capturing the uncertainties impacting their upstream suppliers. In the current uncertain business environment, the project's outcome will benefit service-based industries to have an enhanced understanding of their operating environment and take decisions accordingly to avoid failures. This will significantly increase the productivity ....An explainability oriented approach to manage dependent supply chain risks. This project aims to help supply chain companies model the impact on their operations by capturing the uncertainties impacting their upstream suppliers. In the current uncertain business environment, the project's outcome will benefit service-based industries to have an enhanced understanding of their operating environment and take decisions accordingly to avoid failures. This will significantly increase the productivity of Australian service-based industries across different domains. The expected outcome is that it generates new knowledge by which risk managers of a focal company can conjointly consider risk identification/assessment with risk management analysis to develop explainable strategies for managing uncertainties. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120100049
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
New integer programming based theory, formulations and decomposition techniques with applications to integrated problems. Optimisation problems permeate science and industry. By developing new techniques to solve larger and harder problems than is currently possible, more complex questions can be answered, and more accurate solutions obtained. Industries can use such tools to make better financial, resource management, operational, and/or strategic planning decisions.