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The Chief Data Scientist at InfoReady, Dr Maksud Ibrahimov, is speaking at this seminar about the use of artificial intelligence “evolutionaryâ€� algorithms in optimising supply chain efficiencies.
In the last decade companies have been facing an increasing pressure to maintain profitability. Due to the high level of complexity at all levels of operations in the supply chain it becomes almost impossible for even highly experienced and professional teams of experts to continuously run the operations optimally without using decision support systems.
This presentation shows several supply chain case studies from leading Australian mining and manufacturing companies. It will show some approaches to avoid suboptimal silo based optimisation and use global optimisation to find better solutions for the supply chain as a whole, using evolutionary computation techniques.
The presentation concludes with some of the problems of applying artificial intelligence algorithms in practice and ideas of running evolutionary computation methods in the distributed computing environment.
Dr Maksud Ibrahimov
Dr Maksud Ibrahimov is a Chief Data Scientist at InfoReady, leading Australian data and analytics consultancy. Maksud got his PhD from the University of Adelaide in the application of evolutionary computation methods to real world supply chain problems. In the past, Maksud has developed state of the art decision support, optimization and machine learning systems with SolveIT Software, Schneider Electric and ABB. He has consulted for the largest Australian mining, telecommunication, retail and manufacturing companies. He is a founder of Adaptic Solutions, a boutique data science consultancy, which has been acquired by InfoReady.
If you are interested in giving a presentation in this seminar series, or to make suggestions for speakers, please contact Tao Gu, the seminar co-ordinator at email@example.com.
Registration and bookings
This seminar is free and open to the general public. No booking is necessary.