面向设备维修的备件库存控制研究

发布时间：2018-06-30 04:53

本文选题：设备维修 + 备件　；参考：《沈阳工业大学》2016年硕士论文

【摘要】：随着经济的迅猛发展,制造型企业对生产自动化的热情迅速升温,对机器设备的依赖越来越大,对机器设备的管理要求越来越严苛。高速运转的机器设备需保养与维护,老旧零件需及时更新替换,为此企业需要储备充足的设备维修备件。但从企业整体运营的角度考虑,备件库存不仅要满足设备维修的需求,保证生产顺利进行,也要节约库存成本,降低库存数量,保证企业资金流动。因此,设备维修的备件库存控制研究已逐渐成为许多学者和企业人重要的研究方向。本文以B公司动力总成工厂发动机总装生产线设备维修的备件为研究对象,首先基于80/20法则以备件历史需求频次为分类准则,将现有备件分为确定型消耗备件和随机型消耗备件。采用泊松分布方法预测随机型消耗备件需求,求出需求量所对应的需求概率。应用(s,S)的订货策略,以随机型消耗备件库存成本最小为目标函数,服务水平为约束条件,构建随机型最优库存控制模型,利用马尔可夫状态转移矩阵求解最优订货点s和最大库存值S,并通过编程实现数学模型的求解。其次,以发动机总装生产线总装工段设备维修备件为例,求解部分备件最优订货点s和最大库存值S,与原有库存总成本对比,表明本文方法可在保证服务水平为约束条件下显著降低库存成本,在备件库存控制方面具有显著的效益提升。最后,结合设备维修模式改善设备维修备件库存管理模式,改善设备维修备件库存管理流程,提出改善后的设备维修备件管理要求,为未来设备维修备件库存控制系统化操作和在B公司内部的其他备件管理部门推广奠定基础。
[Abstract]:With the rapid development of economy, the enthusiasm of manufacturing enterprises for production automation is rising rapidly, the dependence on machinery and equipment is becoming more and more heavy, and the management requirements of machinery and equipment are becoming more and more stringent. High-speed running machinery and equipment need to be maintained, old parts need to be updated and replaced in time, enterprises need to reserve sufficient equipment maintenance spare parts. But from the point of view of the whole operation of the enterprise, spare parts inventory should not only meet the requirement of equipment maintenance and ensure the smooth production, but also save the cost of inventory, reduce the quantity of inventory, and ensure the capital flow of the enterprise. Therefore, the research of spare parts inventory control in equipment maintenance has gradually become an important research direction for many scholars and enterprises. In this paper, the spare parts of engine assembly line equipment maintenance in powertrain factory of B Company are taken as the research object. Firstly, based on the 80 / 20 rule, the frequency of spare parts' historical demand is taken as the classification criterion. The existing spare parts are divided into certain consumption spare parts and random consumption spare parts. Poisson distribution method is used to predict the demand of random consumption spare parts and the corresponding demand probability is obtained. Based on the (sans) ordering strategy, the stochastic optimal inventory control model is constructed with the objective function of minimum inventory cost of spare parts consumed by random type and the level of service as the constraint condition. The Markov state transition matrix is used to solve the optimal ordering point s and the maximum inventory value S, and the mathematical model is solved by programming. Secondly, taking the spare parts of the assembly section of the engine assembly line as an example, the optimal ordering point s and the maximum inventory value S of some spare parts are solved, which is compared with the total cost of the original inventory. The results show that the proposed method can significantly reduce the inventory cost and improve the efficiency of spare parts inventory control under the constraint of service level. Finally, combined with the equipment maintenance mode to improve the equipment maintenance spare parts inventory management mode, improve the equipment maintenance spare parts inventory management process, put forward the improved equipment maintenance spare parts management requirements, For the future equipment maintenance spare parts inventory control systematization operation and other spare parts management within company B to promote the foundation.
【学位授予单位】：沈阳工业大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TH17

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