The video discusses the application of prescriptive analytics in solving transshipment problems as part of network models. It gives an example of a customer who manufactures sand in a specific location and exports it to various locations within Hyderabad, India. The sand is transported to two key locations, from where it is distributed to other locations. The objective is to determine the optimal flow for each arc, which represents the decision variables, and the optimal amount of sand to transport from one location to another. The cost of transporting per unit is 50 Indian rupees, and the supply of sand and demand at different locations is given. The video also explains the different types of nodes in the network model, including supply nodes, demand nodes, and transshipment nodes, and how to identify them. The objective function is the number of tons transported multiplied by the cost of transporting those tons. The video explains that prescriptive analytics can be used to solve such optimization problems by identifying the three key characteristics of the business problem and using solver to solve the formulated problem.

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