Industrial optimisation and operations research

Under the industrial optimisation and operations research theme, we use advanced mathematical models to address problems of interest to business and industry. Through the use of both deterministic and stochastic models, we can gain insights that are relevant to business and industry, as well as the academic research community.

Our team carries out research in a range of application areas including reliability, warranty analysis, scheduling, as well as devising optimal and model predictive controllers.

Expertise and research interests include

• Linear, nonlinear, and mixed integer programming
• Large-scale optimisation models, large-scale data handling
• Inventory modelling
• Stochastic processes (Poisson, renewal and geometric processes)
• Queueing theory
• Decision analysis models (Markov decision processes)
• Factory-wide scheduling and operations planning
• Building and validating industrial models
• Industrial controllers, controller tuning, statistical process control
• Exploiting image processing and deep learning strategies for non-traditional control and optimisation