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OPS 910 Supply Chain Analytics: - This academic unit gives an introduction to mathematical modelling as a device to address difficulties in making of supply chains and logistics, Issue formulation and choice of modelling, Flow and network modeling, Some analytical results and use of discrete event simulation, Stochastic inventory models, Statistical process control, Synchronization of maintenance and production activities, Statistical techniques for estimation of model parameters, Models and visualization of cyber-physical systems in real time, Expected Utility theory, Linear, dynamic, non-linear and stochastic programming, Queuing models and Markov chains, Monte Carlo simulation, Forecasting, Reliability and maintenance of the production line, Multivariate regression analysis for analysis of performance data, Machine learning and Big Data, and Decision trees.

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