A goal programming mixed-model line balancing for processing time and physical workload

被引:42
|
作者
Choi, Gyunghyun [1 ]
机构
[1] Hanyang Univ, Dept Ind Engn, Seoul 133791, South Korea
关键词
Mixed-model line balancing; Overload; Processing time; Physical workload; Goal programming; PERFORMANCE; DEMAND;
D O I
10.1016/j.cie.2009.01.001
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
in this paper, we present a new mathematical model of line balancing for processing time and physical workload at the same time. Line balancing is the problem to assign tasks to stations while satisfying some managerial viewpoints. Most researches about the line balancing problems are focused on the conventional industrial measures that minimizing total processing time and/or number of workstations. Also, independently, some research reports insist some industrial ergonomic issues to be considered for balancing. So. we propose a zero-one integer program model that combines the overload of processing time and physical workload with various risk elements. For the solution techniques, we adopt the goal programming approach and design an appropriate algorithm process. Various computational test runs are performed on the processing time only model, the physical workload only model, and the integrated model. Comparing the pay-offs between the two overloads, test results show us that well balanced job allocation is able to be obtained through the proposed model. And we conclude that the model may be very useful for the operation managers to make decisions on their job scheduling efforts. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:395 / 400
页数:6
相关论文
共 50 条
  • [21] Solving a multi-objective mixed-model assembly line sequencing problem by a fuzzy goal programming approach
    Babak Javadi
    Alireza Rahimi-Vahed
    Masoud Rabbani
    Mostafa Dangchi
    [J]. The International Journal of Advanced Manufacturing Technology, 2008, 39 : 975 - 982
  • [22] A hybrid genetic algorithm approach to mixed-model assembly line balancing
    Haq, A. Noorul
    Rengarajan, K.
    Jayaprakash, J.
    [J]. International Journal of Advanced Manufacturing Technology, 2006, 28 (3-4): : 337 - 341
  • [23] A Balancing Method of Mixed-model Disassembly Line in Random Working Environment
    Xia, Xuhui
    Liu, Wei
    Zhang, Zelin
    Wang, Lei
    Cao, Jianhua
    Liu, Xiang
    [J]. SUSTAINABILITY, 2019, 11 (08):
  • [24] Mixed-model Assembly Line Balancing Using the Hybrid Genetic Algorithm
    Bai Ying
    Zhao Hongshun
    Zhu Liao
    [J]. 2009 INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, VOL III, 2009, : 242 - +
  • [25] Assembly line balancing in a mixed-model sequencing environment with synchronous transfers
    Karabati, S
    Sayin, S
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2003, 149 (02) : 417 - 429
  • [26] Application of fuzzy genetic algorithm for sequencing in mixed-model assembly line with processing time
    Chutima, P
    Nimmano, W
    Yiangkamolsing, C
    [J]. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, 2003, 10 (04): : 325 - 331
  • [27] A parallel station heuristic for the mixed-model production line balancing problem
    Askin, RG
    Zhou, M
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1997, 35 (11) : 3095 - 3105
  • [28] A hybrid genetic algorithm approach to mixed-model assembly line balancing
    Haq, AN
    Rengarajan, K
    Jayaprakash, J
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2006, 28 (3-4): : 337 - 341
  • [29] Binary integer formulation for mixed-model assembly line balancing problem
    Gokcen, H
    Erel, E
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 1998, 34 (02) : 451 - 461
  • [30] Optimization of mixed-model assembly line balancing problem with resource constraints
    Razali, M. M.
    Ab Rashid, M. F. F.
    Make, M. R. A.
    [J]. PROCEEDINGS OF MECHANICAL ENGINEERING RESEARCH DAY 2017 (MERD), 2017, : 115 - 117