设备故障条件下流水线产能评估方法研究
PDF下载 (23247)张岳君 1,方志梅 1,陆阳冰 2.设备故障条件下流水线产能评估方法研究[J].宁波大学学报(理工版),2017,30(4):1-5.DOI:
ZHANG Yue-jun 1,FANG Zhi-mei 1,LU Yang-bing 2.Production line throughput evaluation method with machine failures[J].Journal of Ningbo University(Natural Science & Engineering Edition),2017,30(4):1-5.DOI:
| Title: | Production line throughput evaluation method with machine failures |
| 作者: | 张岳君 1, 方志梅 1, 陆阳冰 2 |
| Author(s): | ZHANG Yue-jun 1, FANG Zhi-mei 1, LU Yang-bing 2 |
| 关键词: | 流水线; 预防性维护; 故障; 缓存; 仿真 |
| Keywords: | production line; preventive maintenance; failure; buffer; simulation |
| 分类号: | TH181 |
| 文献标识码: | A |
| 摘要: | 为提升流水线产能评估的有效性, 采用基于设备运作的故障发生机制生成故障节点, 并按照可用度最大化原则确立预防性维护周期, 采用抽样仿真方法评估流水线系统的产能, 同时提出一种基于故障期望次数的近似方法以提升产能的评估效率. 仿真实验表明, 流水线产出率与系统配置密切相关, 设备数量越少, 缓存空间越大, 对应的产出率就越高, 但设备数量与缓存空间的边际影响逐渐下降; 而近似方法获得的产出率估值与仿真值之间的偏差可基本控制在5%以内, 评估准确性具有一定优势. |
| Abstract: | In order to improve the effectiveness of capacity evaluation for the production line, the operation-dependent failure is adopted to model the failure distribution, and the preventive maintenance is implemented to restore machine state during the production process. Simulation approach is used to evaluate the throughput, and an approximate method based on the expected failure number is also proposed to improve the evaluation efficiency. The numerical experiment shows that the throughput is closely related to the system configuration. The less machine number and the larger buffer size, the higher throughput, but the marginal impact decreases. The test also indicates that at different initial age, the average deviation between the approximate method and the simulation is less than 5% in most cases, which suggests the acceptable accuracy. |
| 参考文献 /References: | [1] LI J, MEERKOV S M. Production Systems Engineering [M]. New York: Springer Presses, 2009:62-68. [2] 周晓军, 沈炜冰, 奚立峰, 等. 一种考虑修复非新的多设备串行系统机会维护动态决策模型[J]. 上海交通大学学报. 2007, 41(5):769-773. [3] GAN S, ZHANG Z, ZHOU Y, et al. Intermediate buffer analysis for a production system[J]. Applied Mathe- matical Modelling, 2013, 37(20/21):8785-8795. [4] LI L, QIAN Y, YANG Y M, et al. A fast algorithm for buffer allocation problem[J]. International Journal of Production Research, 2015, 54(11):3243-3255. [5] 周炳海, 蒋舒宇, 王世进, 等. 集成生产与预防性维护的流水线车间调度算法[J]. 大连海事大学学报, 2007, 33(3):32-35. [6] LI J S, MEERKOV S M, ZHANG L, et al. Production systems engineering: Problems, solutions, and applica- tions[C]. Proceeding of the 13th IFAC Symposium on Information Control Problems in Manufacturing, Moscow, Russia, 2009. [7] ALFERI A, MATTA A. Mathematical programming formulations for approximate simulation of multistage production systems[J]. European Journal of Operational Research, 2012, 219(3):773-783. [8] ABDUL-KADER W. Capacity improvement of an unre- liable production line: An analytical approach[J]. Computers & Operations Research, 2006, 33(6):1695-1712. [9] SARVAR M. Modeling of multi-stage production lines with maintenance operations[J]. International Journal of Computer Integrated Manufacturing, 2008, 21(4):396-406. |
| 备注/Memo: | 收稿日期: 2016－08－31. 宁波大学学报（理工版）网址: http://journallg.nbu.edu.cn/ 基金项目: 国家自然科学基金（60874083）; 浙江省教育厅科研项目（Y200907622）; 宁波大学科技学院预研项目（003-21021003）. 第一作者: 张岳君（1983－）, 男, 浙江宁波人, 博士, 主要研究方向: 制造系统的集成优化与控制. E-mail: zhangyuejun1@nbu.edu.cn 宁波大学学报（理工版）网址：http://journallg.nbu.edu.cn/ |
