[1] 高亮,李新宇.工艺规划与车间调度集成研究现状及进展[J].中国机械工程,2011,22(8):1001-1007. (GAO L, LI X Y. Current research on integrated process planning and scheduling[J]. China Mechanical Engineering, 2011, 22(8):1001-1007.). [2] 宋栓军,杨佩莉,石雯丽.考虑多目标的柔性工艺与调度集成优化算法[J/OL]. 计算机应用研究,2017[2016-08-05]. http://www.arocmag.com/getarticle?aid=912497cbe6174f12. (SONG S J, YANG P L, SHI W L. Integrated optimization algorithm of flexible process planning and shop scheduling with consideration of multi-objectives[J/OL]. Application Research of Computers, 2017[2016-08-05]. http://www.arocmag.com/getarticle?aid=912497cbe6174f12. [3] 巴黎,李言,杨明顺,等.考虑不确定加工时间的工艺规划与调度集成问题研究[J]. 中国机械工程,2015,26(24):3348-3355. (BA L, LI Y, YANG M S, et al. Research on integrated process planning and scheduling problem with consideration of uncertain processing time[J]. China Mechanical Engineering, 2015, 26(24):3348-3355.). [4] CHRYSSOLOURIS G, CHAN S, SUH N P. An integrated approach to process planning and scheduling[J]. CIRP Annals-Manufacturing Technology, 1985, 34(1):413-417. [5] BECKENDORFF U, KREUTZFELDT J. Reactive workshop scheduling based on alternative routings[C]//Proceedings of a Conference on Factory Automation and Information Management. Bocaraton, Florida:CRC Press, 1991:875-885. [6] 刘倩雯.人工蜂群算法及其在调度问题中的应用研究[D]. 北京:北京交通大学,2014:5-61. (LIU Q W. Research on artificial bee colony and its application in scheduling problems[D]. Beijing:Beijing Jiaotong University, 2014:5-61.). [7] 瞿璨.面向绿色制造的工艺规划决策研究[D].武汉:华中科技大学,2013:2-54. (QU C. Study on the process planning for green manufacturing[D]. Wuhan:Huazhong University of Science and Technology, 2013:2-54.). [8] 吕盛坪,乔立红.工艺规划与车间调度及两者集成的研究现状和发展趋势[J]. 计算机集成制造系统,2014,20(2):290-300. (LYU S P, QIAO L H. Current status and developing trend of process planning and job shop scheduling[J]. Computer Integrated Manufacturing Systems, 2014, 20(2):290-300.). [9] 吕盛坪,乔立红.工艺规划与车间调度复合式集成模型[J]. 计算机集成制造系统,2014,20(1):111-120. (LYU S P, QIAO L H. Hybrid integration model for process planning and scheduling[J]. Computer Integrated Manufacturing Systems, 2014, 20(1):111-120.). [10] 崔晓康,肖艳秋,王磊,等.面向工艺规划与车间调度的集成方法研究[J].机床与液压,2015,43(3):134-137. (CUI X K, XIAO Y Q, WANG L, et al. Research on integrated method of process planning and job-shop scheduling[J]. Machine Tool & Hydraulics, 2015, 43(3):134-137.). [11] 王进峰,阴国富,雷前召,等.蚁群算法在工艺规划与车间调度集成优化中的应用[J]. 东南大学学报(自然科学版),2012,42(S1):173-177. (WANG J F, YIN G F, LEI Q Z, et al. Integrated process planning and scheduling based on an ant colony algorithm[J]. Journal of Southeast Universit (Natural Science Edition), 2012, 42(S1):173-177.). [12] LIU Z, MA S, SHI Y, et al. Solving multi-objective flexible job shop scheduling with transportation constraints using a micro artificial bee colony algorithm[C]//Proceedings of the 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design. Piscataway, NJ:IEEE, 2013:427-432. [13] 文笑雨.多目标集成式工艺规划与车间调度问题的求解方法研究[D]. 武汉:华中科技大学,2014:5-61. (WEN X Y. Research on the solution methods for multi-objective integrated process planning and scheduling problem[D]. Wuhan:Huazhong University of Science and Technology, 2014:5-61.). [14] 江铭炎,袁东风.人工蜂群算法及其应用[M]. 北京:科学出版,2014:16-264. (JIANG M Y, YUAN D F. Artificial Bee Colony Algorithm and Its Application[M]. Beijing:Science Press, 2014:16-264.). [15] 吴正佳,罗月胜,周玉琼,等.一种求解典型JSP的改进离散粒子群优化算法[J].计算机应用研究,2013,30(8):2405-2409. (WU Z J, LUO Y S, ZHOU Y Q, et al. Improved discrete particle swarm optimization algorithm for typical Job-Shop scheduling problem[J]. Application Research of Computers, 2013, 30(8):2405-2409.). [16] 张国辉,张凌杰,吴立辉,等. 精英进化策略求解柔性作业车间调度问题[J].计算机应用研究,2016,33(12):1-5. (ZHANG G H, ZHANG L J, WU L H, et al. Solving flexible Job-Shop scheduling with elite evolution strategy[J]. Application Research of Computers, 2016, 33(12):1-5.). [17] 李新宇.工艺规划与车间调度集成问题的求解方法研究[D].武汉:华中科技大学,2009:58. (LI X Y. Research on the solution methods of integrated process planning and scheduling[D]. Wuhan:Huazhong University of Science and Technology, 2009:58.). [18] FANG H-L, ROSS P, CORNE D. A promising genetic algorithm approach to job-shop scheduling, re-scheduling and open-shop scheduling problems[C]//Proceedings of the 5th International Conference on Genetic Algorithms. San Mateo, CA:Morgan Kaufmann Publishers, 1993:375-382. [19] MORAD N, ZALZALA A M S. Genetic algorithms in integrated process planning and scheduling[J]. Journal of Intelligent Manufacturing, 1999, 10(2):169-179. [20] FUJI N, INOUE R, UEDA K. Integration of process planning and scheduling using multi-Agent learning[C]//Proceedings of the 41st CIRP Conference on Manufacturing Systems. Berlin:Springer-Verlag, 2008:297-300. |