About the Webinar
To maintain factory throughput and performance, it is necessary to maintain assets. As assets age beyond their useful life, replacement is required. The challenge is to select the right time to replace assets so that capital is not spent earlier than required so that excessive maintenance, degradation, and risk costs are avoided. This seminar provides an overview of a systematic procedure to determine priorities for capital replacements that has been developed as a part of ARC Linkage Project 150100545. The talk will provide an overview of the procedure, beginning with the construction of an asset heat map that provides an assessment of the condition of assets using maintenance and condition data. Subsequently, an optimisation strategy for determining priorities for replacement will be discussed. The objective of this optimisation is to minimise the total cost of asset care (sum of capital, maintenance, degradation, and risk costs). The application of the procedure to the boiler and the pan stations at two factories will be presented, and the seminar will conclude with possible areas of future work, including extension of the modelling approaches to other stations and support additional asset decisions (e.g. inspections).
Michael E. Cholette obtained his B.S. degree from the University of Michigan in 2007. He obtained his Ph.D. from the University of Texas at Austin in 2012, where his research focus was fault detection and diagnosis for complex systems, with applications in automotive systems and semiconductor manufacturing. He joined the CRC for Infrastructure and Engineering Asset Management (CIEAM) in Brisbane, Australia as a postdoctoral research fellow, focusing on reliability modelling and asset management. He joined QUT as a Lecturer in 2013 and became a Senior Lecturer in 2017.
Michael has broad experience in a number of engineering disciplines related to dynamic systems, reliability, and applied optimisation. His primary expertise lies in asset management, particularly in in reliability modelling, Condition-Based Maintenance (CBM), and maintenance optimisation. He has also contributed to a number of other fields, including condition monitoring, control, autonomous vehicles, and building optimisation. His research has been supported by a variety of industrial and government bodies, such as Powerlink Queensland, Wilmar Sugar, and Delta Electricity, the Australian Research Council, and the Australian Renewable Energy Agency. He also participates in a number of academic and professional societies, including co-chairing the Scientific Committee for the 2017 World Congress on Engineering Asset Management and as a member of the International Society of Engineering Asset Management.