Manufacturing System Configuration: Flexibility Analysis For automotive Mixed-Model Assembly Lines

被引:11
|
作者
Lafou, M. [1 ,2 ]
Mathicu, L. [1 ]
Pois, S. [2 ]
Alochet, M. [2 ]
机构
[1] ENS Cachan, Automated Prod Res Lab LURPA, 61 Av President Wilson, F-94235 Cachan, France
[2] Technoctr RENAULT SAS, Vehicle Prod Engn Direct, F-78288 Guyancourt, France
来源
IFAC PAPERSONLINE | 2015年 / 48卷 / 03期
关键词
Manufacturing system; Variety; Mixed-Model assembly line; Configuration; Flexibility;
D O I
10.1016/j.ifacol.2015.06.064
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Today's competitive and highly volatile markets arc redefining the way manufacturing systems arc designed. To meet the requirements of their customers, industries have to manage the wide variety that affects their entire production system in terms of processes, products and resources. Manufacturing system configuration has profound impact on the performance of the system in terms of productivity, flexibility and cost. To cope with production system configuration responsiveness, several flexibility measures were introduced. The purpose of this research work is to make an overview of the existing configuration flexibility factors and to propose a heuristic to deal with automotive mixed-model assembly line (MMAL) specificities. A short case study from the automotive industry is presented. (C) 2015, IFAC (International Federation of Antomatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:94 / 99
页数:6
相关论文
共 50 条
  • [31] Balancing mixed-model assembly lines for random sequences
    Sikora, Celso Gustavo Stall
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2024, 314 (02) : 597 - 611
  • [32] Production Orders Sequencing in Mixed-Model Assembly Lines
    Zemczak, Marcin
    [J]. ENGINEERING SOLUTIONS AND TECHNOLOGIES IN MANUFACTURING, 2014, 657 : 359 - 363
  • [33] A sequencing approach of models in mixed-model assembly lines
    Zheng Yongqian
    Wang Yunpeng
    Hu Bo
    Wang Yongsheng
    [J]. MECHANIKA, 2011, (04): : 418 - 422
  • [34] Balancing of parallel assembly lines with mixed-model product
    Ismail, N.
    Esmaeilian, G. R.
    Hamedi, M.
    Sulaiman, S.
    [J]. MANAGEMENT AND ARTIFICIAL INTELLIGENCE, 2011, 6 : 120 - 124
  • [35] A complexity model for sequence planning in mixed-model assembly lines
    Zhu, Xiaowei
    Hu, S. Jack
    Koren, Yoram
    Huang, Ningjian
    [J]. JOURNAL OF MANUFACTURING SYSTEMS, 2012, 31 (02) : 121 - 130
  • [36] Optimizing kitting cells in mixed-model assembly lines
    Schmid, Nico A.
    Bao, Wencang
    Derhami, Shahab
    Montreuil, Benoit
    Limere, Veronique
    [J]. IFAC PAPERSONLINE, 2021, 54 (01): : 163 - 168
  • [37] Scheduling Utility Workers at Mixed-Model Assembly Lines
    Gujjula, Rico
    Guenther, Hans-Otto
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS 1-4, 2009, : 1092 - 1096
  • [38] Balancing and sequencing manual mixed-model assembly lines
    Merengo, C
    Nava, F
    Pozzetti, A
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1999, 37 (12) : 2835 - 2860
  • [39] Research on Comprehensive Evaluation of Effectiveness of Automotive Mixed-model Assembly System Based on AHP
    Su Hua
    Zhang Hao
    [J]. PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON INNOVATION AND MANAGEMENT, VOLS I & II, 2017, : 1132 - 1139
  • [40] MANPOWER-PLANNING FOR MIXED-MODEL ASSEMBLY LINES IN JUST-IN-TIME MANUFACTURING SYSTEMS
    NG, WC
    MAK, KL
    [J]. ENGINEERING OPTIMIZATION, 1995, 25 (01) : 29 - 44