ML-AI Integrated Supply Chain Design


ML-AI Integrated Supply Chain Design helps global enterprises achieve business agility needed for today's uncertain times

Research Topics

  • ML-AI Enabled Demand Forecasting, Scheduling, and Ensemble Methods for FMCG Products
  • Supply Chain Flexibility and Resilience Modeling for Manufacturing Industry
  • IoT Applications in Shop Floor Process Management
  • IoT in Humanitarian Relief Operations Planning and Monitoring for Disaster Management

Publications

  • Kundu, SG., Ghosh, A., Kundu, A., Girish, G.P. (2022). "A ML-AI Enabled Ensemble Model for Predicting Agricultural Yield", Cogent Food and Agriculture, vol 8, issue 1, DOI: 10.1080/23311932.2022.2085717
  • Mathirajan, M, Sujan Reddy, Vimala Rani, M, and Dhaval, P. (2022). A Machine Learning Algorithm for Scheduling a Burn-in Oven Problem. International Journal of Industrial and System Engineering, DOI: 10.1504/IJISE.2021.10042607

Lead Researchers

  • Prof. Anupam Ghosh
  • Prof. M Vimala Rani