Unequal area flexible bay facility layout using ant colony optimisation

被引:63
|
作者
Kulturel-Konak, Sadan [1 ]
Konak, Abdullah [2 ]
机构
[1] Penn State Berks, Dept Management Informat Syst, Reading, PA 19610 USA
[2] Penn State Berks, Dept Informat Sci & Technol, Reading, PA 19610 USA
关键词
facility layout; unequal area departments; flexible bay structure; ant colony optimisation; SEMICONDUCTOR FABRICATION FACILITIES; SIMULATED ANNEALING ALGORITHM; SEQUENCE-PAIR REPRESENTATION; GENETIC SEARCH; DESIGN; MODEL; SYSTEM; LOCATION; DISTANCE;
D O I
10.1080/00207541003614371
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, an ant colony optimisation approach is proposed to solve the facility layout problem with unequal area departments and flexible bays, which is one of the commonly used layout representations in industry practice. Optimal approaches to the facility layout design can only solve problems with a limited number of departments. The proposed ant colony optimisation approach is tested on 21 fairly well-known unequal area facility layout problems from the literature with up to 62 departments, and the results are compared with the previously best known solutions. Different cases of these problems are also tested. The proposed ant colony optimisation approach is shown to be very effective in finding previously known best solutions in a very short amount of CPU times and making improvements up to 17.38%.
引用
收藏
页码:1877 / 1902
页数:26
相关论文
共 50 条
  • [1] ANT COLONY OPTIMIZATION FOR THE UNEQUAL-AREA FACILITY LAYOUT PROBLEM
    Kulturel-Konak, Sadan
    Konak, Abdullah
    [J]. ECTA 2011/FCTA 2011: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION THEORY AND APPLICATIONS AND INTERNATIONAL CONFERENCE ON FUZZY COMPUTATION THEORY AND APPLICATIONS, 2011, : 273 - 277
  • [2] A simulated annealing algorithm for unequal area dynamic facility layout problems with flexible bay structure
    Hunagund, Irappa Basappa
    Pillai, V. Madhusudanan
    Kempaiah, U. N.
    [J]. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING COMPUTATIONS, 2018, 9 (03) : 307 - 330
  • [3] Applying Ant System for solving Unequal Area Facility Layout Problems
    Komarudin
    Wong, Kuan Yew
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2010, 202 (03) : 730 - 746
  • [4] Development of an optimisation model for unequal-area facility layout problems
    Bhuiyan, Tanveer Hossain
    Harun, Sarah
    Azeem, Abdullahil
    [J]. International Journal of Industrial and Systems Engineering, 2021, 37 (01) : 27 - 45
  • [5] Applying multi-objective ant colony optimization algorithm for solving the unequal area facility layout problems
    Liu, Jingfa
    Liu, Jun
    [J]. APPLIED SOFT COMPUTING, 2019, 74 : 167 - 189
  • [6] A new relaxed flexible bay structure representation and particle swarm optimization for the unequal area facility layout problem
    Kulturel-Konak, Sadan
    Konak, Abdullah
    [J]. ENGINEERING OPTIMIZATION, 2011, 43 (12) : 1263 - 1287
  • [7] Solving facility layout problems using Flexible Bay Structure representation and Ant System algorithm
    Wong, Kuan Yew
    Komarudin
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (07) : 5523 - 5527
  • [8] Ant colony optimisation for machine layout problems
    Corry, P
    Kozan, E
    [J]. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2004, 28 (03) : 287 - 310
  • [9] Design of robust layout for unequal area dynamic facility layout problems with flexible bays structure
    Hunagund, Irappa Basappa
    Pillai, V. Madhusudanan
    Kempaiah, Ujjani Nagegowda
    [J]. JOURNAL OF FACILITIES MANAGEMENT, 2020, 18 (04) : 361 - 392
  • [10] Ant Colony Optimisation for Machine Layout Problems
    Paul Corry
    Erhan Kozan
    [J]. Computational Optimization and Applications, 2004, 28 : 287 - 310