A Research on Optimal Allocation of Manufacturing Resources for Cloud Manufacturing Services

doi:10.3969/j.issn.1007-7375.2019.03.006

Abstract

Abstract: In order to reduce the cost of manufacturing and service for cloud clients, solve the problem of resources optimization deployment for no need preference under the circumstance of cloud manufacturing, take into full consideration the interests of enterprises which need manufacturing resources and cloud platform operators, together with QoS and flexibility of both sides in the process of manufacturing resources configuration service, a multi-objective optimization model is built for resource allocation. This model represents interests of the above-mentioned two parties. In addition, the model examples are solved by modifying NSGA-Ⅱ algorithm. Results prove that the model and the algorithm are feasible, effective and stable.

Key words: cloud manufacturing, optimal allocation of manufacturing resources, multiobjective optimization, improved NSGA-Ⅱ algorith

CLC Number:

TP391

XU Chun'an, LI Fang. A Research on Optimal Allocation of Manufacturing Resources for Cloud Manufacturing Services[J]. Industrial Engineering Journal , 2019, 22(3): 44-51,109.

References

[1] 李伯虎, 张霖, 王时龙, 等. 云制造-面向服务的网络化制造新模式[J]. 计算机集成制造系统, 2010, 16(1):1-7 LI Bohu, ZHANG Lin, WANG Shilong, et al. Cloud manufacturing:a computing and service-oriented manufacturing model[J]. Computer Integrated Manufacturing Systems, 2010, 16(1):1-7
[2] TAO F, ZHANG L, VENKATESH V C. Cloud manufacturing:a computing and service-oriented manufacturing model[C/OL]. (2011-08-22). https://journals.sagepub.com/doi/abs/10.1177/0954405411405575
[3] 李伯虎, 张霖, 任磊. 云制造典型特征、关键技术与运用[J]. 计算机集成制造系统, 2012, 18(7):1345-1356 LI Bohu, ZHANG Lin, REN Lei, et al. Typical characteristic, technologies and applications of cloud manufacturing[J]. Computer Integrated Manufacturing Systems, 2012, 18(7):1345-1356
[4] 陶飞, 张霖, 郭华, 等. 云制造特征及云服务组合关键问题研究[J]. 计算机集成制造系统, 2011, 17(3):477-486 TAO Fei, ZHANG Lin, GOU Hua, et al. Typical characteristic of cloud manufacturing and several key issues of cloud services composition[J]. Computer Integrated Manufacturing Systems, 2011, 17(3):477-486
[5] LIU N, LI X.A resource virtualization mechanism for cloud manufacturing systems[C/OL]. (2012-11-07). https://link.springer.com/book/10.1007/978-3-642-33068-1#about.
[6] LIU N, LI X.A resource & capability virtualization method for cloud manufacturing systems[C/OL]. (2012-11-21).https://ieeexplore.ieee.org/document/6083800.
[7] WU D, THAMES J L, ROSEN D W. Towards a cloud-based design and manufacturing paradigm:looking backward, looking forward[C/OL]. (2012-10-12).http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=1736119.
[8] 王时龙, 宋文艳. 云制造环境下制造资源优化配置研究[J]. 计算机集成制造系统, 2012, 18(7):1396-1405 WANG Shilong, SONG Wenyan. Manufacturing resources allocation based on cloud manufacturing[J]. Computer Integrated Manufacturing Systems, 2012, 18(7):1396-1405
[9] 李慧芳, 董训. 制造云服务智能搜索与匹配方法[J]. 计算机集成制造系统, 2012, 18(7):1485-1493 LI Huifang, DONG Xun. Intelligent searching and matching approach for cloud manufacturing service[J]. Computer Integrated Manufacturing Systems, 2012, 18(7):1485-1493
[10] 高一聪, 冯毅雄, 谭建荣, 等. 制造资源耦合映射与模糊匹配技术研究[J]. 计算机辅助设计与图形学学报, 2012, 24(3):290-298 GAO Yicong, FENG Yixiong, TAN Jianrong, et al. Research on coupled mapping and service matching technology of cloud manufacturing based on fuzzy integral[J]. Journal of Computer-Aided Design and Computer Graphics, 2012, 24(3):290-298
[11] 邰丽君, 胡如夫, 赵韩, 等. 面向云制造服务的制造资源的多目标动态优化调度[J]. 中国机械工程, 2013, 24(012):1616-1622 TAI Lijun, HU Rufu, ZHAO Han, et al. Multi-objective dynamic scheduling of manufacturing resources to cloud manufacturing services[J]. China Mechanical Engineering, 2013, 24(012):1616-1622
[12] LIN Y K, CHONG C S. Fast GA-based project scheduling for computing resources allocation in a cloud manufacturing system[C/OL]. (2017-04-08).https://link-springer-com-443.webvpn.usst.edu.cn/article/10.1007/s10845-015-1074-0.
[13] LI Yuan, TAO F. A study of optimal allocation of computing resources in cloud manufacturing systems[C/OL]. (2012-02-15).https://link-springer-com-443.webvpn.usst.edu.cn/article/10.1007/s00170-012-3939-0.
[14] 赵道致, 杜其光. 物联网平台下企业之间制造资源转移策略[J]. 系统工程, 2015, 33(1):87-93 ZHAO Daozhi, DU Qiguang. Manufacturing resources transshipment based on internet of things platform[J]. Systems engineering, 2015, 33(1):87-93
[15] SEOK H, NOF S Y. Dynamic coalition reformation for adaptive demand and capacity sharing[C/OL]. (2013-09-19).https://doi.org/10.1016/j.ijpe.2013.09.003.
[16] 苏凯凯, 徐文胜, 李建勇. 云制造环境下基于非合作博弈的资源优化配置方法[J]. 计算机集成制造系统, 2015, 21(8):2228-2239 SU Kaikai, XU Wensheng, LI Jianyong. Manufcacturing resource allocation method based on non-cooperative game in cloud manufacturing[J]. Computer Integrated Manufacturing Systems, 2015, 21(8):2228-2239
[17] 夏世洪, 石宇强, 吴双, 等.云制造环境下面向多目标优化的虚拟资源调度研究[J/OL]. (2018-04-08).http://kns.cnki.net/kcms/detail/51.1196.TP.20180408.1050.056.html.
[18] 李芳, 武超然. 云制造环境下供应链节点企业的优化组合[J]. 计算机应用研究, 2014, 31(6):1644-1647 LI Fang, WU Chaoran. Optimal composition of supply chain node enterprise in cloud manufacturing[J]. Application Research of Computers, 2014, 31(6):1644-1647
[19] KALYANMOY D, AMRIT P, SAMEER A. A fast and elitist multiobjective genntic algorithm:NSGA-Ⅱ[J/OL]. (2002-08-07).https://ieeexplore.ieee.org/document/996017.