OPTIMIZING AUTOMOTIVE MANUFACTURING SEQUENCES USING SIMULATED ANNEALING AND GENETIC ALGORITHMS

被引：6
|
作者：
MERGENTHALER, W
STADLER, W
WILBERTZ, H
ZIMMER, N
机构：
[1] MERCEDES BENZ AG,D-71063 SINDELFINGEN,GERMANY
[2] ANTHROPOS SOFTWARETECH,D-13595 BERLIN,GERMANY
来源：
CONTROL ENGINEERING PRACTICE | 1995年 / 3卷 / 04期
关键词：
OPTIMUM SEQUENCING; SIMULATED ANNEALING; GENETIC ALGORITHMS;
D O I：
10.1016/0967-0661(95)00030-X
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Automotive manufacturing processes are characterized by a wide variety of optimization criteria, among which uniformity of workload throughout a shift and optimum flexibility with respect to the now of material are two of the most important ones. The dominant decision variables are the manufacturing sequence and the job assignment. While for most real applications job assignment remains fixed throughout a shift, sequencing strategies are sought that satisfy several criteria. Two objective functions describing uniformity of workload and flexibility with respect to the now of materials are derived in this paper. An industrial application is given.
引用
收藏
页码：569 / 573
页数：5
相关论文
共 50 条
  • [1] Genetic algorithms and simulated annealing for scheduling in agile manufacturing
    Gaafar, LK
    Masoud, SA
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2005, 43 (14) : 3069 - 3085
  • [2] An Improved Hybrid Genetic Algorithms Using Simulated Annealing
    Shi Huawang
    PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON ELECTRONIC COMMERCE AND SECURITY, VOL I, 2009, : 462 - 465
  • [3] Optimizing a discrete switching pattern using two simulated annealing algorithms
    Bina, MT
    Hamill, DC
    COMPEL 2000: 7TH WORKSHOP ON COMPUTERS IN POWER ELECTRONICS, PROCEEDINGS, 2000, : 129 - 133
  • [4] STOCHASTIC RESERVOIR MODELING USING SIMULATED ANNEALING AND GENETIC ALGORITHMS
    SEN, MK
    DATTAGUPTA, A
    STOFFA, PL
    LAKE, LW
    POPE, GA
    SPE FORMATION EVALUATION, 1995, 10 (01): : 49 - 55
  • [5] The resolution of packing problems using simulated annealing and genetic algorithms
    Gomez, A
    de la Fuente, D
    Puente, J
    Parreño, J
    STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING, 2005, 51 (05): : 234 - 239
  • [6] Stochastic reservoir modeling using simulated annealing and genetic algorithms
    Sen, Mrinal K., 1600, Society of Petroleum Engineers (SPE), Richardson, TX, United States (10):
  • [7] Application of genetic algorithms and simulated annealing technique in optimizing the aperture distributions of antenna arrays
    Ares, F
    Rengarajan, SR
    Villanueva, E
    Skochinski, E
    Moreno, E
    IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM - 1996 DIGEST, VOLS 1-3, 1996, : 806 - 809
  • [8] Optimizing simulated annealing schedules with genetic programming
    Bolte, A
    Thonemann, UW
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1996, 92 (02) : 402 - 416
  • [9] Application of Optimizing the Parameters of SVM Using Genetic Simulated Annealing Algorithm
    Cao Longhan
    Zhou Shanquan
    Li Rui
    Wu Fan
    Liu Tao
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 5381 - +
  • [10] Submarine manoeuvring controllers' optimisation using simulated annealing and genetic algorithms
    McGookin, EW
    Murray-Smith, DJ
    CONTROL ENGINEERING PRACTICE, 2006, 14 (01) : 1 - 15
12345