Modeling impact of choice complexity on production rate in mixed-model assembly system

被引：2
|
作者：
Wang, Kunpeng [1 ]
Rao, Yunqing [1 ]
Wang, Mengchang [1 ]
机构：
[1] Huazhong Univ Sci & Technol, State Key Lab Digital Mfg Equipment & Technol, Wuhan 430074, Hubei, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 2012年 / 59卷 / 9-12期
基金：
中国国家自然科学基金;
关键词：
Choice complexity; Error rate; Meta-model; Artificial neural network; MANUFACTURING SYSTEMS; NEURAL-NETWORKS; INFORMATION; OPERATIONS; VARIETY; DESIGN;
D O I：
10.1007/s00170-011-3530-0
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The increasing variety of products complicates the mixed-model assembly process and affected the mixed-model assembly system in terms of product quality and productivity. Choice complexity comes from the process of making choices for various assembly operations due to the product variety and impacts production rate which is the performance measure of the system. The choice complexity is measured with information entropy, and the relational expression between choice complexity and error rate is analyzed by means of those research finds on average reaction time and speed-accuracy trade-off. The main achievement of our study is establishing an artificial neural network meta-model for the impact of choice complexity on production rate. The meta-model performs better than a multiple linear regression meta-model in terms of experiment results and appears to be the optimal model of the impact of choice complexity on production rate in the mixed-model assembly system.
引用
收藏
页码：1181 / 1189
页数：9
相关论文
共 50 条
  • [1] Modeling impact of choice complexity on production rate in mixed-model assembly system
    Kunpeng Wang
    Yunqing Rao
    Mengchang Wang
    The International Journal of Advanced Manufacturing Technology, 2012, 59 : 1181 - 1189
  • [2] Modeling of Manufacturing Complexity in Mixed-Model Assembly Lines
    Zhu, Xiaowei
    Hu, S. Jack
    Karen, Yoram
    Marin, Samue P.
    JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2008, 130 (05): : 0510131 - 05101310
  • [3] MIXED-MODEL ASSEMBLY LINE BALANCING CONCERNING CHOICE COMPLEXITY
    Wang, Kunpeng
    Rao, Yunqing
    Zhou, Wei
    2011 INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND TECHNOLOGY (ICMET 2011), 2011, : 417 - 420
  • [4] Computational modelling of manufacturing choice complexity in a mixed-model assembly line
    Busogi, Moise
    Ransikarbum, Kasin
    Oh, Yeong Gwang
    Kim, Namhun
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2017, 55 (20) : 5976 - 5990
  • [5] Measuring complexity in mixed-model assembly workstations
    Zeltzer, Luiza
    Limere, Veronique
    Van Landeghem, Hendrik
    Aghezzaf, El-Houssaine
    Stahre, Johan
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2013, 51 (15) : 4630 - 4643
  • [6] A complexity model for sequence planning in mixed-model assembly lines
    Zhu, Xiaowei
    Hu, S. Jack
    Koren, Yoram
    Huang, Ningjian
    JOURNAL OF MANUFACTURING SYSTEMS, 2012, 31 (02) : 121 - 130
  • [7] Production planning to support mixed-model assembly
    Ding, FY
    Tolani, R
    COMPUTERS & INDUSTRIAL ENGINEERING, 2003, 45 (03) : 375 - 392
  • [8] Sequencing problem for a mixed-model assembly line in the Toyota production system
    Kotani, S
    Ito, T
    Ohno, K
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2004, 42 (23) : 4955 - 4974
  • [9] Sequence planning to minimize complexity in mixed-model assembly lines
    Zhu, Xiaowei
    Hu, S. Jack
    Koren, Yoram
    Marin, Samuel P.
    Huang, Ningjian
    2007 IEEE INTERNATIONAL SYMPOSIUM ON ASSEMBLY AND MANUFACTURING, 2007, : 251 - +
  • [10] A SEQUENCING PROBLEM FOR A MIXED-MODEL ASSEMBLY-LINE IN A JIT PRODUCTION SYSTEM
    ZHAO, XB
    OHNO, K
    COMPUTERS & INDUSTRIAL ENGINEERING, 1994, 27 (1-4) : 71 - 74
12345