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.
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