An efficient lexicographic approach to solve multi-objective multi-port fabric dyeing machine planning problem

In this study, the fabric dyeing process in a towel manufacturing factory is investigated, focusing on batching of bolts with different quantities and features belonging to orders multi-port machines. This research differs from previous studies several aspects. Firstly, it considered three objectives: total tardiness, number washes (sequence-dependent setups), machine fixed cost. These objectives have not been simultaneously optimized studies, making our approach unique. Secondly, we adopt lexicographic optimization prioritize these according company’s requirements. allows find solutions that are optimal terms one objective while satisfying constraints imposed by other objectives. Lastly, proposed novel multi-objective genetic algorithm, which extends traditional single-objective effectively solve large-sized problems. Overall, study only addresses real-life problem textile industry but also introduces innovative techniques approaches for optimizing multiple scheduling context.