Lean buffering in serial production lines with nonidentical exponential machines

被引:15
|
作者
Chiang, Shu-Yin [1 ]
Hu, Alexander [2 ]
Meerkov, Semyon M. [2 ]
机构
[1] Ming Chuan Univ, Dept Informat & Telecommun Engn, Tao Yuan 333, Taiwan
[2] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA
基金
美国国家科学基金会;
关键词
exponential machines; lean buffering; serial production lines;
D O I
10.1109/TASE.2007.893503
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Lean buffering is the smallest buffer capacity, which is necessary and sufficient to ensure the desired production rate of a manufacturing system. Literature offers methods for designing lean buffering in production systems with identical machines. The current paper extends these methods to serial production lines with nonidentical machines, assuming that they obey the exponential reliability model. For two-machine lines, exact formulas for lean buffering are derived, while for longer lines estimates are obtained. These results can be useful for production line designers and production managers to maintain the required production rate with the smallest possible inventories. Note to Practitioners-In production systems with unreliable machines, operation with no-buffers (i.e., JIT) leads to low throughput. Very large buffers lead to high throughput but undesirable quality and economics properties. So, which level of buffering is good? This is the question addressed in this paper. The good level of buffering is addressed in terms of line efficiency, i.e., the fraction of the maximum of the throughput, which is acceptable for the system. For example, assume that the desired line efficiency is 0.9 (i.e., 90% of the maximum throughput is viewed as satisfactory). Under such an assumption, this paper offers methods for calculating the smallest (i.e., lean) level of buffering, which guarantees the desired throughput, provided that uptime and downtime of the machines are distributed exponentially with arbitrary mean time to failure and mean time to repair.
引用
收藏
页码:298 / 306
页数:9
相关论文
共 50 条
  • [11] A new aggregation algorithm for performance metric calculation in serial production lines with exponential machines: design, accuracy and robustness
    Bai, Yishu
    Tu, Jiachen
    Yang, Mengzhuo
    Zhang, Liang
    Denno, Peter
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2021, 59 (13) : 4072 - 4089
  • [12] Production Lead Time in Exponential Serial Lines: Analysis and Control
    Meerkov, Semyon M.
    Yan, Chao-Bo
    2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2014, : 4887 - 4892
  • [13] Performance analysis of serial production lines with quality inspection machines
    Han, MS
    Lim, JT
    Park, DJ
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1998, 29 (09) : 939 - 951
  • [14] Transient Performance Analysis of Serial Production Lines With Geometric Machines
    Chen, Guorong
    Wang, Chuanfeng
    Zhang, Liang
    Arinez, Jorge
    Xiao, Guoxian
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2016, 61 (04) : 877 - 891
  • [15] Identifying Bottlenecks in Serial Production Lines with Geometric Machines: Indicators and Rules
    Kang, Yunyi
    Ju, Feng
    IFAC PAPERSONLINE, 2017, 50 (01): : 13952 - 13957
  • [16] Reducing energy consumption in serial production lines with Bernoulli reliability machines
    Su, Wen
    Xie, Xiaolei
    Li, Jingshan
    Zheng, Li
    Feng, Shaw C.
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2017, 55 (24) : 7356 - 7379
  • [17] Optimal buffer allocation of serial production lines with quality inspection machines
    Han, MS
    Park, DJ
    COMPUTERS & INDUSTRIAL ENGINEERING, 2002, 42 (01) : 75 - 89
  • [18] THE OUTPUT PROCESSES OF SERIAL PRODUCTION LINES OF GENERAL MACHINES WITH FINITE BUFFERS
    HENDRICKS, KB
    MCCLAIN, JO
    MANAGEMENT SCIENCE, 1993, 39 (10) : 1194 - 1201
  • [19] A finite state method in improvement and design of lean Bernoulli serial production lines
    Hadzic, Neven
    Lozar, Viktor
    Opetuk, Tihomir
    Andric, Jerolim
    COMPUTERS & INDUSTRIAL ENGINEERING, 2021, 159
  • [20] Production capacity modeling of alternative, nonidentical, flexible machines
    Liberopoulos, G
    INTERNATIONAL JOURNAL OF FLEXIBLE MANUFACTURING SYSTEMS, 2002, 14 (04): : 345 - 359