基于选择性维修的船舶备件库存研究

Bin Zhou, Shi-dong Fan, Da Li
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引用次数: 1

摘要

本文试图根据选择性维修理论,在船舶安全运行的前提下,探讨基于不同维修模式的船舶备件库存问题,以使备件成本最小化。对于采用纠错维修的设备,采用多周期随机存储模型策略求解最优库存问题。然后,考虑一定的时间、周期间隔和交货期,得到周期维修设备的最佳库存。最后,将灰色预测方法应用到状态维修设备中,求解出最优库存。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Ship Spare Parts Inventory Based on Selective Maintenance
According to selective maintenance theory, this paper attempts to discuss the ship spare parts inventory based on different maintenance models to minimize cost of the spare parts in the context of safe operation of the ship. For the equipment which adopts corrective maintenance, a multi-period stochastic storage model strategy is applied to solve the optimal inventory. Then, this paper take a certain time, periodic interval and lead time into account to obtain the best inventory for the equipments of periodical maintenance. The last, the grey prediction method is utilized to the equipment of condition-based maintenance in order to solve the best inventory.
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