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设备带有恶化特性的作业车间调度模型与算法

黄敏 付亚平 王洪峰 朱兵虎 王兴伟

黄敏, 付亚平, 王洪峰, 朱兵虎, 王兴伟. 设备带有恶化特性的作业车间调度模型与算法. 自动化学报, 2015, 41(3): 551-558. doi: 10.16383/j.aas.2015.c131067
引用本文: 黄敏, 付亚平, 王洪峰, 朱兵虎, 王兴伟. 设备带有恶化特性的作业车间调度模型与算法. 自动化学报, 2015, 41(3): 551-558. doi: 10.16383/j.aas.2015.c131067
HUANG Min, FU Ya-Ping, WANG Hong-Feng, ZHU Bing-Hu, WANG Xing-Wei. Job-shop Scheduling Model and Algorithm with Machine Deterioration. ACTA AUTOMATICA SINICA, 2015, 41(3): 551-558. doi: 10.16383/j.aas.2015.c131067
Citation: HUANG Min, FU Ya-Ping, WANG Hong-Feng, ZHU Bing-Hu, WANG Xing-Wei. Job-shop Scheduling Model and Algorithm with Machine Deterioration. ACTA AUTOMATICA SINICA, 2015, 41(3): 551-558. doi: 10.16383/j.aas.2015.c131067

设备带有恶化特性的作业车间调度模型与算法

doi: 10.16383/j.aas.2015.c131067
基金项目: 

国家杰出青年科学基金(71325002, 61225012), 国家自然科学基金(71071028, 71001018), 流程工业综合自动化国家重点实验室基础科研业务费(2013ZCX11), 中央高校基本科研业务费专项基金(N1304040 17)资助

详细信息
    作者简介:

    黄敏 东北大学信息科学与工程学院教授.主要研究方向为生产计划、调度与存储控制, 物流与供应链管理, 行为运筹, 风险管理和软计算. E-mail: mhuang@mail.neu.edu.cn

    通讯作者:

    付亚平 东北大学信息科学与工程学院系统工程研究所博士研究生.主要研究方向为生产计划与调度, 智能优化算法.本文通信作者. E-mail: fuyaping0432@163.com

Job-shop Scheduling Model and Algorithm with Machine Deterioration

Funds: 

Supported by National Science Foundation for Distinguished Young Scholars of China (71325002, 61225012), National Natural Science Foundation of China (71071028, 71001018), Fundamental Research Funds for State Key Laboratory of Synthetical Automation for Process Industries (2013ZCX11), and Fundamental Research Funds for the Central Universities (N130404017)

  • 摘要: 考虑到现实作业车间调度中设备具有恶化特性,针对作业的处理时间是开始时间的线性递增函数的作业车间调度问题, 建立了以最小化最迟完成时间为目标的优化模型,进而设计了嵌套分割算法进行求解.该算法在抽样阶段嵌入单亲遗传算法以提高抽样的多样性和质量. 实例结果表明,所提出的算法在解决该问题上可以获得较高质量的解,并且具有很好的鲁棒性.
  • [1] Brucker P. Scheduling Algorithms. Berlin: Springer-Verlag, 2007. 69-83
    [2] [2] Blazewicz J, Domschke W, Pesch E. The job shop scheduling problem: conventional and new solution techniques. European Journal of Operational Research, 1996, 93(1): 1-33
    [3] [3] Wang L, Tang D B. An improved adaptive genetic algorithm based on hormone modulation mechanism for job-shop scheduling problem. Expert Systems with Applications, 2011, 38(6): 7243-7250
    [4] Qiao Wei, Wang Bing, Sun Jie. Uncertain job shop scheduling problems solved by genetic algorithm. Computer Integrated Manufacturing Systems, 2007, 13(12): 2452-2455(乔威, 王冰, 孙洁. 用遗传算法求解一类不确定性作业车间调度问题. 计算机集成制造系统, 2007, 13(12): 2452-2455)
    [5] Li Fu-Ming, Zhu Yun-Long, Yin Chao-Wan, Song Xiao-Yu. Research on fuzzy job shop scheduling with alternative machines. Computer Integrated Manufacturing Systems, 2006, 12(2): 169-173(李富明, 朱云龙, 尹朝万, 宋晓宇. 可变机器约束的模糊作业车间调度问题研究. 计算机集成制造系统, 2006, 12(2): 169-173)
    [6] Yan Li-Jun, Li Zong-Bin, Wei Jun-Hu, Du Xuan. A new hybrid optimization algorithm and its application in job shop scheduling. Acta Automatica Sinica, 2008, 34(5): 604-608(闫利军, 李宗斌, 卫军胡, 杜轩. 一种新的混合优化算法及其在车间调度中的应用. 自动化学报, 2008, 34(5): 604-608)
    [7] [7] Gupta J N D, Gupta S K. Single facility scheduling with nonlinear processing times. Computers and Industrial Engineering, 1988, 14(4): 387-393
    [8] [8] Wu H P, Huang M. Improved estimation of distribution algorithm for the problem of single-machine scheduling with deteriorating jobs and different due dates. Computational and Applied Mathematics, 2014, 33(3): 557-573
    [9] [9] Mosheiov G. Scheduling jobs under simple linear deterioration. Computers and Operations Research, 1994, 21(6): 653 -659
    [10] Wu C C, Wu W H, Wu W H, Hsu P H, Yin Y Q, Xu J Y. A single-machine scheduling with a truncated linear deterioration and ready times. Information Sciences, 2014, 256: 109-125
    [11] Cheng M B, Tadikamalla P R, Shang J, Zhang S Q. Bicriteria hierarchical optimization of two-machine flow shop scheduling problem with time-dependent deteriorating jobs. European Journal of Operational Research, 2014, 234(3): 650-657
    [12] Wang J B, Wang M Z. Solution algorithms for the total weighted completion time minimization flow shop scheduling with decreasing linear deterioration. The International Journal of Advanced Manufacturing Technology, 2013, 67(1-4): 243-253
    [13] Liu C H, Chen L S, Lin P S. Lot streaming multiple jobs with values exponentially deteriorating over time in a job-shop environment. International Journal of Production Research, 2013, 51(1): 202-214
    [14] Mosheiov G. Complexity analysis of job-shop scheduling with deteriorating jobs. Discrete Applied Mathematics, 2002, 117(1-3): 195-209
    [15] Liu C H. Scheduling jobs with values exponentially deteriorating over time in a job shop environment. In: Proceedings of the 2011 International MultiConference of Engineers and Computer Scientists. Hong Kong, China: Newswood Limited, 2011. 1113-1118
    [16] Araghi M E T, Jolai F, Rabiee M. Incorporating learning effect and deterioration for solving a SDST flexible job-shop scheduling problem with a hybrid meta-heuristic approach. International Journal of Computer Integrated Manufacturing, 2013, 27(8): 733-746
    [17] Garey M R, Johnson D S, Sethi R. The complexity of flow shop and job shop scheduling. Mathematics of Operations Research, 1976, 1(2): 117-129
    [18] Shi L, lafsson S. Nested Partitions Method, Theory and Applications. New York: Springer-Verlag, 2008. 131-226
    [19] Shi L, lafsson S. Nested partitions method for global optimization. Operations Research, 2000, 48(3): 390-407
    [20] Wang Y M, Yin H L, Qin K D. A novel genetic algorithm for flexible job shop scheduling problems with machine disruptions. The International Journal of Advanced Manufacturing Technology, 2013, 68(5-8): 1317-1326
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出版历程
  • 收稿日期:  2013-11-19
  • 修回日期:  2014-10-27
  • 刊出日期:  2015-03-20

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