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What is Overtime Optimization in Linear Programming about?

When planning overtime in linear programming, it is important to consider the specific needs and constraints of the company. The document outlines 5 steps to include overtime on all machines in a linear programming model: 1) identify the objective, 2) define decision variables, 3) formulate constraints, 4) develop an objective function, and 5) create a mathematical model to determine the optimal overtime allocation across machines. The model would need to be updated to introduce overtime decision variables

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