This month's newsletter focuses on the activities in November and includes an update on the travels of Hoa and Eden
IN THE SPOTLIGHT
Congratulations to Research Fellow Eden Li on being named a finalist in the 2023 Research and Engagement Awards. It is a significant achievement and recognition of her highly valued contribution to research at Curtin.
These awards recognise the achievements of Curtin researchers across all disciplines and stages of their career and acknowledges those who are making a positive contribution to raising the University’s research profile
TEAM NEWS
INTERNATIONAL COLLABORATIONS
Hoa Bui was an invited speaker of the Continuous Optimisation cluster at the XL National Congress of Statistics and Operations Research and the XIV Conference on Public Statistics from 7 to 10 November 2023 in Elche, Spain. She shared her recent research on "Single-projection procedure for solving convex optimisation problems in Hilbert space." She also gave two seminal talks at the Universität der Bundeswehr München (Munich, Germany) and the University of Alicante (Alicante, Spain).
The AustMS WIMSIG Cheryl E. Praeger Travel Award funded her visit to the University of Alicante to collaborate with Professor Marco Lopez and Professor Abderrahim Hantoute, world-renowned experts in semi-infinite optimisation. They are collaborating to extend Hoa's recent results on single projection procedure to semi-infinite programming.
Hoa at the conference: XL National Congress of Statistics and Operations Research and the XIV Conference on Public Statistics
Events
Researchers Catch-Up
Michael Stewart Large Language Models for Failure Mode Classification: An Investigation
Large Language Models (LLMs) have received a surge of interest recently due to their ability to encapsulate knowledge from a variety of domains. However, research has yet to explore the applicability of LLMs to maintenance. In this presentation, Michael provided details on his investigation into using LLMs to perform Failure Mode Classification (FMC), a critical maintenance task that reduces the need for reliability engineers to spend their time manually analysing work orders.
Michael demonstrated his prompt engineering approach that enables fine-tuning an LLM (GPT-3.5) to predict a nominal failure mode code from a given observation. He illustrated that the LLM-based model outperforms a state-of-the-art text classification model, but only when the LLM is fine-tuned. Michael's investigation reinforces the need for high quality fine-tuning datasets for maintenance-specific tasks using LLMs.
Yingying Yang - Long-term Integrated Maintenance Scheduling Optimization
An integrated mining site is a complex production system comprising many processing assets, intermediate buffer storages and linking facilities. Disruption of any unit may impact upstream/downstream product flow, stock levels, throughput, and the ability to satisfy customer demands. Thus, efficient coordination and strategic maintenance scheduling are essential to ensure a smooth flow of products and maximize the throughput.
Yingying presented a case study that explores the optimization of the interplay between maintenance timings and the whole system's performance over a long-term horizon. She also gave a sensitivity analysis, adjusting parameters to gain more practical insights, such as how gaps between major shutdowns affect throughput and the key factors affecting overstock.
Stay tuned for our next issue where we will cover:
CTMTDS Newsletter 22 - November 2023
This month's newsletter focuses on the activities in November and includes an update on the travels of Hoa and Eden
IN THE SPOTLIGHT
Congratulations to Research Fellow Eden Li on being named a finalist in the 2023 Research and Engagement Awards. It is a significant achievement and recognition of her highly valued contribution to research at Curtin.
These awards recognise the achievements of Curtin researchers across all disciplines and stages of their career and acknowledges those who are making a positive contribution to raising the University’s research profile
TEAM NEWS
INTERNATIONAL COLLABORATIONS
Hoa Bui was an invited speaker of the Continuous Optimisation cluster at the XL National Congress of Statistics and Operations Research and the XIV Conference on Public Statistics from 7 to 10 November 2023 in Elche, Spain. She shared her recent research on "Single-projection procedure for solving convex optimisation problems in Hilbert space." She also gave two seminal talks at the Universität der Bundeswehr München (Munich, Germany) and the University of Alicante (Alicante, Spain).
The AustMS WIMSIG Cheryl E. Praeger Travel Award funded her visit to the University of Alicante to collaborate with Professor Marco Lopez and Professor Abderrahim Hantoute, world-renowned experts in semi-infinite optimisation. They are collaborating to extend Hoa's recent results on single projection procedure to semi-infinite programming.
Hoa at the conference: XL National Congress of Statistics and Operations Research and the XIV Conference on Public Statistics
Events
Researchers Catch-Up
Michael Stewart Large Language Models for Failure Mode Classification: An Investigation
Large Language Models (LLMs) have received a surge of interest recently due to their ability to encapsulate knowledge from a variety of domains. However, research has yet to explore the applicability of LLMs to maintenance. In this presentation, Michael provided details on his investigation into using LLMs to perform Failure Mode Classification (FMC), a critical maintenance task that reduces the need for reliability engineers to spend their time manually analysing work orders.
Michael demonstrated his prompt engineering approach that enables fine-tuning an LLM (GPT-3.5) to predict a nominal failure mode code from a given observation. He illustrated that the LLM-based model outperforms a state-of-the-art text classification model, but only when the LLM is fine-tuned. Michael's investigation reinforces the need for high quality fine-tuning datasets for maintenance-specific tasks using LLMs.
Yingying Yang - Long-term Integrated Maintenance Scheduling Optimization
An integrated mining site is a complex production system comprising many processing assets, intermediate buffer storages and linking facilities. Disruption of any unit may impact upstream/downstream product flow, stock levels, throughput, and the ability to satisfy customer demands. Thus, efficient coordination and strategic maintenance scheduling are essential to ensure a smooth flow of products and maximize the throughput.
Yingying presented a case study that explores the optimization of the interplay between maintenance timings and the whole system's performance over a long-term horizon. She also gave a sensitivity analysis, adjusting parameters to gain more practical insights, such as how gaps between major shutdowns affect throughput and the key factors affecting overstock.
Stay tuned for our next issue where we will cover:
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