Current status and developing trend of process planning and Job Shop scheduling

被引:0
作者
Lyu, Sheng-Ping [1 ]
Qiao, Li-Hong [2 ]
机构
[1] Key Laboratory of Key Technology on Agricultural Machine and Equipment, School of Engineering, South China Agricultural University
[2] Advanced Manufacturing Technology and Systems Research Center, School of Manufacturing Engineering and Automation, Beihang University
来源
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2014年 / 20卷 / 02期
关键词
Integrated process planning and scheduling; Job Shop scheduling; Process planning;
D O I
10.13196/j.cims.2014.02.lyushengping.0290.11.2014028
中图分类号
学科分类号
摘要
Process planning and Job Shop scheduling in product design and manufacturing process are two important steps to link product design and manufacturing, the main task of process planning and Job Shop scheduling as well as the association relationship between the two was introduced. The technique development of Computer Aided Process Planning (CAPP) was presented, the research methods for CAPP were summarized and the major issues were identified. The current researches on Job Shop scheduling were summarized from the manipulation approaches of static scheduling and dynamic scheduling. Meanwhile, the main problem of separated process planning and scheduling was analyzed, and the necessity of integrating the two was pointed out. On this basis, the models for Integrated Process Planning and Scheduling (IPPS) were classified and summarized from the interface-oriented integration and function-oriented integration; the researches on the optimization implementation approaches for static and dynamic IPPS were reviewed and analyzed. Based on the above summarization and analysis, the future research trends for process planning, Job Shop scheduling and IPPS were presented.
引用
收藏
页码:290 / 300
页数:10
相关论文
共 107 条
[1]  
Steudel H.J., Computer-aided process planning: past, present and future, International Journal of Production Research, 22, 2, pp. 253-266, (1984)
[2]  
Kiritsis D., A review of knowledge-based expert systems for process planning: methods and problems, International Journal of Advanced Manufacturing Technology, 10, 4, pp. 240-262, (1995)
[3]  
Leung H.C., Annotated bibliography on computer aided process planning, International Journal of Advanced Manufacturing Technology, 12, 5, pp. 309-329, (1996)
[4]  
Xu X., Wang L.H., Newman S.T., Computer-aided process planning-a critical review of recent developments and future trends, International Journal of Computer Integrated Manufacturing, 24, 1, pp. 1-31, (2011)
[5]  
Babic B., Nesic N., Miljkovic Z., A review of automated feature recognition with rule-based pattern recognition, Computers in Industry, 59, 4, pp. 321-337, (2008)
[6]  
Zhao Y.F., Habeeb S., Xu X., Research into integrated design and manufacturing based on STEP, International Journal of Advanced Manufacturing Technology, 44, 5-6, pp. 606-624, (2009)
[7]  
Cay F., Chassapis C., An IT view on perspectives of computer aided process planning research, Computers in Industry, 34, 3, pp. 307-337, (1997)
[8]  
Yue Y., Lian D., Kemal A., Et al., Study of neural network techniques for computer integrated manufacturing, Engineering Computations, 19, 1-2, pp. 136-157, (2002)
[9]  
Agrawal R., Shukla S., Kumar M.K., Et al., Multi-agent system for distributed computer-aided process planning problem in e-manufacturing environment, International Journal of Advanced Manufacturing Technology, 44, 5-6, (2009)
[10]  
Shen W., Hao Q., Yoon H.J., Et al., Applications of agent-based systems in intelligent manufacturing: an updated review, Advanced Engineering Informatics, 20, 4, pp. 415-431, (2006)