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This study proposes a scheduling method for platen allocation in the grand assembly stage of shipbuilding that considers both time and space constraints, including facility-related restrictions. The p...laten is divided into grid units, and the original two-dimensional allocation problem is redefined as a grid-group selection problem. An objective function integrating space and time constraints is developed, in which constraint violations are evaluated as penalty terms. A genetic algorithm is adopted to minimize these penalties and generate practical schedules. The proposed method was validated using real data from a shipyard, involving 120 grand assembly blocks scheduled over six months. The results showed that all blocks could be allocated without spatial conflicts while maintaining schedule consistency through flexible time adjustments. Furthermore, the penalty-based framework can generate practical scheduling solutions even when no strictly feasible solution exists. The proposed method is an effective decision-support tool for grand assembly planning in shipbuilding.続きを見る
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