With the gradual increase of market demand for large ocean passenger ships, the ability to build large ocean passenger ships by ourselves is also getting mature gradually. However, in the process of production and construction, due to the long construction cycle, multi-regional and multi-level cooperation and the complexity of production material types, the actual production process is difficult to fully follow the production plan, resulting in a large number of reverse logistics needs. Therefore, according to the characteristics of reverse logistics of large ocean ships, this paper combined with the actual shipyard carried out the reverse logistics operation mode decision, network node design and logistics facility location planning. It aims to improve the management and control level of reverse logistics in the logistics integration stage of the ship industry.
KEYWORDS: Mathematical optimization, Genetic algorithms, Design and modelling, Lead, Data storage, Data modeling, Process modeling, Mathematical modeling, Instrument modeling, Engineering
In order to improve the efficiency of outfitting production order selection in shipyard, the outfitting operation in the assembly center was studied from two aspects of order batch strategy and selection path. Aiming to minimize the weighted time of order picking time and order delay time, an order batch picking model based on improved envelope batch algorithm was constructed to complete the batch work of production orders. Then, a selection path optimization model based on improved genetic algorithm was constructed to complete the selection path planning of production orders. Finally, comparative analysis is carried out by an example. The experimental results show that the optimized production order reduces the order selection time and order delay time, improves the sorting efficiency of the assembly center, and also proves the effectiveness and practicability of the algorithm.
Outfitting plays a vital role in the construction of large ocean passenger ships. The management of outfitting, especially iron outfitting, plays an important role in improving construction efficiency, saving logistics costs and storage costs, and improving the digital progressiveness level of the shipbuilding industry. This paper establishes a modular pallet stowage model to optimize the stowage mode of outfitting materials for large ocean-going passenger ships, which can help improve the utilization rate of storage space, pallet utilization rate and the timely response ability of required materials.
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