Correct predictions are in blue. If we detect only a subset of a labelled sentence, we highlight the caught part as blue, the missing part light blue. False positives are in green and false negatives are in red.

Problem Product_Deployment — Constraint detection

This model plans multi-product deployment processes in a single period . The objective is to minimize the sum of transportation costs and storage costs . The transportation costs include the regular costs for all flows and extra costs for the amount of flows that are in excess of the capacities of the links . The storage costs are charged only for the amount of goods over the site capacity . For each article , the program computes the flow of goods on each link in order to cover the demand and minimize the total cost . It also provides the optimal acquisition plan for extra storage and link capacities .

Problem Product_Deployment — Detection of the decisions and objects to be modeled

This model plans multi-product deployment processes in a single period . The objective is to minimize the sum of transportation costs and storage costs . The transportation costs include the regular costs for all flows and extra costs for the amount of flows that are in excess of the capacities of the links . The storage costs are charged only for the amount of goods over the site capacity . For each article , the program computes the flow of goods on each link in order to cover the demand and minimize the total cost . It also provides the optimal acquisition plan for extra storage and link capacities .

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