An analysis of shipyard spatial arrangement planning problems and a spatial arrangement algorithm considering free space and unplaced block

摘要

The components of shipyard production systems can be classified into products, processes, facilities, space, humans, and schedules. The production capacity of a shipyard may vary depending on how they are operated. Particularly in the case of ships, it is important to efficiently utilize the limited space because they have large blocks, which are semi-finished products made during the shipbuilding process. To efficiently utilize the space, the locations of blocks must be determined taking various factors into consideration when arranging them in the workshop or stock area. This problem can be described as a spatial arrangement problem. However, as the items with fixed arrival dates and departure dates occupy the space for certain periods before being released from shipyards, this problem must be approached from the perspective of a spatial arrangement planning problem for certain periods and not as a simple spatial arrangement problem. In this study, various shipyard spatial arrangement planning problems are classified and defined based on arrangement areas, arrangement items, algorithms, and evaluation factors. In addition, taking the increasing sizes of shipyard blocks into consideration, evaluation factors and algorithms are proposed so that the shape of the free space and the characteristics of unplaced blocks can be considered in the spatial arrangement planning problems of large blocks. The performances of the proposed evaluation factors and algorithms were verified using block data generated by analyzing existing shipyard data product information. The proposed algorithm performed better than the existing algorithm for spatial arrangement planning problems of large blocks. However, the performance of the proposed algorithm was not significantly different from the existing algorithm when the size of the arrangement item was relatively small compared with the arrangement area.