Performance analysis of bernoulli serial production line with double-rework line

被引:0
作者
Pei Z. [1 ]
Zhao L. [1 ]
Yuan Y. [1 ]
Lu J. [1 ]
机构
[1] Institute of Industrial Engineering, Zhejiang University of Technology, Hangzhou
来源
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2019年 / 25卷 / 03期
基金
中国国家自然科学基金;
关键词
Bernoulli machine; Bottleneck analysis; Break even analysis; Overlapping decomposition; Rework line;
D O I
10.13196/j.cims.2019.03.004
中图分类号
学科分类号
摘要
Aiming at the performance analysis of a serial Bernoulli production line model with double-rework line, a line-changing policy was proposed to improve the overall system production efficiency while keeping a minimum total cost. Meanwhile, the bottleneck workstation was identified with the overlapping decomposition method within the aggregation framework. The validity of the algorithm was verified by simulations. To compare the line-changing policy with the bottleneck improvement approach, an economic analysis was performed with multiple controllable variables, which shed lights on the efficient management of factory floor. In addition, a byproduct was obtained with respect to the production system deadlock phenomenon, which was heavily dependent on the parameter tuning of the production system. Through analyzing the advantages and disadvantages of these two strategies, some scientific decision-making for factory were provided. Deadlock production phenomenon and the parameters to impact deadlock rate were also found. © 2019, Editorial Department of CIMS. All right reserved.
引用
收藏
页码:566 / 575
页数:9
相关论文
共 17 条
  • [1] Zhou B., Su Y., Energy-saving analysis of serial production linesbased on the changeable buffers' storage, Journal of Harbin Engineering University, 37, 6, pp. 832-836, (2016)
  • [2] Yu J., Zhou B., Preventive maintenance policy for series production systems with intermediate buffers, Journal of Shanghai Jiao Tong University, 48, 12, pp. 1694-1699, (2014)
  • [3] You J., Wang Z., Integrated optimization of optimal production control and capacity planning for serial production line, Industrial Control Computer, 27, 10, pp. 114-115, (2014)
  • [4] Li J., Blumenfeld D.E., Marin S.P., Production system design for quality robustness, IIE Transactions, 40, 3, pp. 162-176, (2008)
  • [5] Li N., Jiang Z., Zheng L., Et al., Performance analysis of a two-loop closed queue network model in semiconductor assembly system, Journal of Shanghai Jiao Tong University, 44, 7, pp. 1014-1018, (2010)
  • [6] Guo C., Wang N., Optimal control of production rates in a serial production line, Mechanical Science and Technology, 24, 4, pp. 408-411, (2005)
  • [7] Wang L., Lu Z., Zhang Y., Joint optimization of preventive maintenance and buffer allocation for serial production systems, Computer Integrated Manufacturing Systems, 22, 5, pp. 1297-1305, (2016)
  • [8] Li J., Blumenfeld D.E., Huang N.J., Et al., Throughput analysis of production systems: recent advances and future topics, International Journal of Production Research, 47, 14, pp. 3823-3851, (2009)
  • [9] Biller S., Li J., Marin S.P., Meerkov S.M., Et al., Bottlenecks in Bernoulli serial lines with rework, IEEE Transaction on Automation Science and Engineering, 7, 2, pp. 208-217, (2010)
  • [10] Li J., Blumenfeld D.E., Marin S.P., Production system design for quality robustness, IEEE Transactions, 40, 3, pp. 162-176, (2008)