Systems and Logistics

SMART Systems & Logistics aims to provide in-depth analyses of intertwined supply chains and logistics in order to improve efficiencies, as well as sophisticated modelling frameworks to represent and emulate complex asset management systems in various industries. The SMART Systems & Logistics research theme comprises of two research groups:

Asset Management & Infrastructure Systems

Asset Management & Infrastructure Systems research group aims to provide theoretical and practical solutions to engineering problems for infrastructure development, management and systems.

The Asset Management & Infrastructure Systems group uses a range of research techniques including system dynamics simulation, system reliability modelling, statistical data modelling, risk-based infrastructure integrity management, asset management systems and big data analytics. The group has built strong research collaboration and links with research institutes and industry worldwide. It is actively involved with various industry areas including railway, energy pipelines, bridges, wind energy, smart city and water systems. The most recent research focuses on near real time predictive deterioration models fed by smart monitoring data.

Group lead: Tieling Zhang 

Supply Chains & Logistics

The Supply Chains & Logistics research group specialises in the efficiency of supply chains in practice. Quantitative and qualitative research methods across disciplines are used to ensure results.

The Supply Chains & Logistics Group uses quantitative and qualitative research methods to enable businesses to improve productivity, processes, products and services. As a part of the Supply Chain Innovation Research Centre (SCIRC), the group has expertise in supply chain integration, lean production, simulation and modelling, knowledge management, IT, supply chain technologies, novel business models, value stream design, innovation management, and business process change. The Centre is also the exclusive provider in Australia of a proven internationally applied supply chain audit methodology that clearly identifies the major causes of supply chain uncertainty and pinpoints what needs to be improved. The group aims to help businesses better plan for the future; remove uncertainties from their supply chain and ensure business can incorporate innovations such as 3D printing or sensor technology seamlessly into their organisation.

Group lead: Tillmann Boehme