Modelling Supply Chain Optimisation with Artificial Neural Networks
Deepak Karim
Corresponding
University of New South Wales
Xiaoming Khan
Imperial College London
Mahmudul Karim
National University of Sciences and Technology
Abstract
The economic viability of autonomous vehicles hinges on managing the uncertainties inherent in supply chain optimisation. A comprehensive framework based on artificial neural networks is developed and applied to representative cases drawn from autonomous vehicles. Over a period of 4 months, the monitored system exhibited stable and predictable behaviour. Further validation across a broader range of conditions is recommended before large-scale deployment.
Keywords:
supply chain optimisationartificial neural networksenergy managementheat transfersupply chain
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