Abstract:

Production Scheduling plays a crucial role in the success of production planning and control departments of businesses. Scheduling optimization is one of the difficult and time-consuming optimization problems to solve due to the solution space. It has become the focus of researchers' interest due to its combination-based difficulty. While the first researchers tried to solve the problems with classical mathematical methods, these solutions were found not to work appropriately as the problems became more complicated. For this reason, researchers have developed heuristic and meta-heuristic methods to solve scheduling problems. In this study, the optimization problem of production line consists of a multifunctional machine operating in the industrial goods manufacturing field. First, the production model was created, and then the scheduling problem was tried to be solved by the optimization model created by using genetic algorithm.

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