Real-time scheduling of multi-stage flexible job shop floor

被引:24
|
作者
Ham, Myoungsoo [1 ]
Lee, Young Hoon [2 ]
Kim, Sun Hoon [2 ]
机构
[1] Samsung Austin Semicond, Syst Engn, Austin, TX USA
[2] Yonsei Univ, Dept Informat & Ind Engn, Seoul 120749, South Korea
关键词
job shop; integer programming; multi-stage; optimisation; real-time; scheduling; BATCH PLANTS; FORMULATION; ALGORITHMS; MACHINES; MODELS; SYSTEM;
D O I
10.1080/00207543.2010.492797
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper first formulates a binary integer programming (BIP) model that minimises Cmax for a multi-stage flexible job shop floor with machine compatibility. Due to a computational limitation, the exact optimal model is then relaxed as a linear programming model. The output from the relaxation model then turns into the objective of the BIP-based real-time scheduling (RTS) heuristic model. The RTS heuristic requires an iteration to calculate the final Cmax. At each iteration, the RTS heuristic assigns just one job to the earliest available machines. Since the set of jobs and machines included in the RTS model is relatively small, RTS can be solved in a very short computational time. We evaluate an overall effectiveness (in terms of solution quality and run time) of the RTS heuristic by way of computer experiments.
引用
收藏
页码:3715 / 3730
页数:16
相关论文
共 50 条
  • [41] Multiagent and Bargaining-Game-Based Real-Time Scheduling for Internet of Things-Enabled Flexible Job Shop
    Wang, Jin
    Zhang, Yingfeng
    Liu, Yang
    Wu, Naiqi
    IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (02): : 2518 - 2531
  • [42] INTEGRATION OF DEEP REINFORCEMENT LEARNING AND DISCRETE-EVENT SIMULATION FOR REAL-TIME SCHEDULING OF A FLEXIBLE JOB SHOP PRODUCTION
    Lang, Sebastian
    Behrendt, Fabian
    Lanzerath, Nico
    Reggelin, Tobias
    Mueller, Marcel
    2020 WINTER SIMULATION CONFERENCE (WSC), 2020, : 3057 - 3068
  • [43] Machine learning algorithms benchmarking for real-time fault predictable scheduling on a shop floor
    Wu, Wenda
    Ji, Wei
    Wang, Lihui
    Gao, Liang
    INTERNATIONAL JOURNAL OF MANUFACTURING RESEARCH, 2021, 16 (01) : 1 - 20
  • [44] Approach for Multi-objective Flexible Job shop scheduling
    Hui, Hongjie
    AUTOMATIC MANUFACTURING SYSTEMS II, PTS 1 AND 2, 2012, 542-543 : 407 - 410
  • [45] Complexity of the job insertion problem in multi-stage scheduling
    Vestjens, Arjen P. A.
    Wennink, Marc
    Woeginger, Gerhard J.
    OPERATIONS RESEARCH LETTERS, 2007, 35 (06) : 754 - 758
  • [46] Dynamic scheduling on multi-objective flexible Job Shop
    Liu, Ai-Jun
    Yang, Yu
    Xing, Qing-Song
    Lu, Hui
    Zhang, Yu-Dong
    Zhou, Zhen-Yu
    Wu, Guang-Hui
    Zhao, Xiao-Hua
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2011, 17 (12): : 2629 - 2637
  • [47] A new algorithm for real-time multi-stage image thresholding
    Lin, SM
    Giesen, R
    Nair, D
    MACHINE VISION APPLICATIONS IN INDUSTRIAL INSPECTION XIV, 2006, 6070
  • [48] Flexible job shop scheduling strategy with uncertain processing time
    Bao, Bo
    Li, Tifang
    Zhang, Bo
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON MECHATRONICS ENGINEERING AND INFORMATION TECHNOLOGY (ICMEIT 2017), 2017, 70 : 672 - 679
  • [49] Distributed Flexible Job Shop Green Scheduling with Transportation Time
    Zhang H.
    Xu G.
    Bao Q.
    Pan R.
    Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2022, 33 (21): : 2554 - 2563
  • [50] An Improved Simulated Annealing Algorithm for Real-Time Dynamic Job-Shop Scheduling
    Cao, Yan
    Du, Jiang
    NEW TRENDS AND APPLICATIONS OF COMPUTER-AIDED MATERIAL AND ENGINEERING, 2011, 186 : 636 - 639