考虑产品合格率衰变的设备维修与生产决策

发布时间：2018-06-04 17:10

  本文选题：k-out-of-n系统 + 预防维修　； 参考：《工业工程与管理》2017年03期

【摘要】：研究了需求不确定条件下生产设备的维修计划与生产决策的联合优化问题。首先建立了k-out-of-n系统设备状态的多周期纯生过程模型,然后在产品需求随机、产品合格率随设备状态劣化而衰减的情况下,分析了企业的维修成本、启动成本、库存或缺货成本、生产成本、质量成本,得到了企业单位时间成本最低的决策模型,并给出了较为详细的求解方法,最后通过算例验证了本模型的鲁棒性和精度,分析了设备劣化强度与合格品率的衰减率对模型结果的影响。研究结果表明,本模型能够使制造商以较低的单位时间成本满足市场随机需求且鲁棒性良好,此外设备的劣化强度及合格品率的衰减率都会显著影响企业生产维修与生产决策,尤其是合格品率的衰减率,它会造成企业的生产浪费,大大提高了企业运行成本,因此企业应该以适当频率对设备进行更新换代。
[Abstract]:The joint optimization of maintenance plan and production decision for production equipment under uncertain demand is studied. In this paper, a multi-cycle pure process model of equipment state in k-out-of-n system is established, and then the maintenance cost, start-up cost, inventory cost or stock-out cost of the enterprise are analyzed under the condition that the product demand is random and the qualified rate of the product decreases with the deterioration of the equipment condition. A decision model with the lowest unit time cost is obtained, and a detailed solution is given. Finally, the robustness and accuracy of the model are verified by an example. The influence of equipment deterioration strength and the decay rate of qualified products on the model results is analyzed. The results show that the model can satisfy the random demand of the market with low unit time cost and has good robustness. In addition, the deterioration strength of the equipment and the attenuation rate of the qualified product rate will significantly affect the production maintenance and production decision of the enterprise. Especially the decay rate of qualified product rate will cause waste of production and greatly increase the operating cost of the enterprise. Therefore the enterprise should update the equipment with the appropriate frequency.
【作者单位】： 中山大学管理学院;
【基金】：国家自然科学基金资助项目(71372154)
【分类号】：F273.4
，

本文编号：1978160