基于MES架构的轮胎成型与硫化工序优化排产系统研究
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摘要
轮胎制造行业是传统的劳动密集型制造行业,在轮胎行业推广、应用信息化技术对提升轮胎制造企业的生产效率和产品质量有极其重要的作用。
     制造执行系统(Manufacturing Execution System,MES)作为计划管理层和底层控制层之间的桥梁,起着承上启下的关键作用,是解决二者之间信息断层的重要措施,是实现企业信息化集成的关键,对提升我国工业信息化建设水平有着重要而深远的意义。优化排产系统作为MES的核心组成部分,主要承担企业生产计划的调度和管理,以及底层生产信息和库存信息的统计管理方面的工作;该系统能有效地管理企业生产资源和生产信息,并作出最优的调度和管理策略。如何在轮胎生产企业中建立优化排产系统,提升企业的生产效益和管理水平,是当前轮胎工业信息化过程中正在探索的难题,也是本文研究的出发点和根本点。
     本文首先立足于企业制造执行系统框架介绍了轮胎企业优化排产系统的功能和设计框架,结合轮胎企业生产现状和国内某大型轮胎生产企业的实际需求,设计了硫化和成型工序优化排产系统的功能、逻辑结构模型,并对其中的信息采集、数据库技术、生产调度、统计报表等方面的关键技术进行了研究设计。
     其次,结合该大型轮胎生产企业生产实际,对轮胎生产行业成型和硫化工序进行建模分析,详细论述了基于订单划分组批策略下的生产模型,设计了优化排产系统的生产调度子系统。为解决人工经验编排成型和硫化任务的低效和精度不高等缺点,针对成型和硫化工序的特点,建立了相应的多目标优化模型,并采用遗传算法求解批次调度问题,通过一系列的仿真研究,证实可以有效地改善当前人工排产调度的效率低、精度差、个体依赖度高的弊端。
     再次,采用Delphi2007和SQL Server2005为平台开发设计了成型和硫化工序优化排产系统,并且在国内某大型轮胎生产企业进行现场实施,有效地提高了企业的生产调度水平,提高了生产效率和轮胎产量,减少成型和硫化工序的脱节时间,获得厂家的好评。
     现场应用表明,本文设计的轮胎企业成型和硫化优化排产系统能满足企业的实际生产需要,解决计划和执行之间的隔断,对于提升轮胎行业企业信息化水平有重要的意义。
The manufacture of tire & rubber products is a traditional labor-intensive industry. Thus, the utilizing and application of information technology would be very important to improve the quality and efficiency of tire productions.
     As a connection between ERP and PCS, manufacturing execution system (MES) plays a key role in solving the information gap and achieving enterprise informatization constructions. MES is very important and significant in improving the informatization construction in our country. The subsystem, the planning optimization system, which serves as the key part of MES, is used to schedule and manage the production plan and responsible for the statistics of the production and storage information. This subsystem can handle the production resource and market information, and make a best decision of optimized scheduling. However, how to estimate such a planning optimization system to improve the production efficiency and economic benefit, is still a difficult topic in the current tire industry. Also, that's why we research and propose my methods in this work.
     In this work, based on the requirement and the basic design framework of manufacturing execution systems, a functional and logical structural model was designed to meet the needs of the current situation of the whole tire production and a large manufactory in China. Our design included some key work in information collection, database, scheduling and statistical reporting etc.
     Secondly, according to the production requirement of the mentioned manufactory, a model for the tire modeling and vulcanization processes was analyzed and established. In the proposed model, the group strategy based on order was discussed in detail. a production scheduling system was designed to optimize the production plan. What's more, to address the disadvantages such as the poor efficiency and inaccuracy in tire modeling and vulcanization process due to the traditional working schedule based on individual's experience, a multi-object optimized model with genetic algorithm was built. Through the experiments of simulation, the efficiency, accuracy and the dependence on individual are all improved.
     Finally, a planning optimization system for tire modeling and vulcanization process is set up based on Delphi 2007 and SQL Server 2005, which is also adopted in the real industry. It is shown that our system can improve the production scheduling effect, the quality and quantity of the tire production, and deduce the time gap between tire modeling and vulcanization processes, compared to the former strategy based on personal experience.
     As shown in practice, the designed optimization system can meet the actual requirement of the tire manufacturing, and bridge the gap between the plan and execution. In conclusion, this work plays a significant role to improve the enterprise informatization for the tire and rubber products.
引文
[1]MESA International. The benefits of MES:a report from the field[EB/OL]. [2003-9-7]. http://www.mesa.org/whitepapers/pap1.pdf.
    [2]戴勇,曹江辉.MES,让制造与计划相统一.中国计算机用户,2003(27):48-49
    [3]AMR Consulting. Next generation plant systems:the key to competitive plant operation [EB/OL]. [2005-4-16]. http://www.amrconsulting.com/PlantSystems.pdf.
    [4]李清.制造执行系统[M].北京:中国电力出版社,2007
    [5]中国工控网.国际制造执行系统(MES)的应用与发展[EB/OL]. [2011-2-10] http://www.gongkong.com/webpage/paper/200906/2009060815400600004.htm
    [6]黄学文,制造执行系统(MES)的研究和应用[D].大连:大连理工大学,2003
    [7]MESA International.MES explained:A high level vision. American:MESA International White Paper Number 6,1997
    [8]Amber Computer System Inc. Integratable MES the challenge and the opportunity advanced manufacturing research consulting[EB/OL]. http://www.amrc.com
    [9]王志新、金寿松制造执行系统MES及应用[M].北京:中国电力出版社,2006
    [10]柴天佑,郑秉霖,胡毅等.制造执行系统的研究现状和发展趋势[J].控制工程,2005,12(6):505-510.
    [11]胡春,李平,宋执环.制造执行系统体系结构中功能模型的研究[J].信息与控制,2002,31(6):561-566.
    [12]胡春,李平.连续工业生产与离散工业生产MES的比较[J].化工自动化与仪表,2003,30(5):1-4.
    [13]夏敬华,陆宝春,张世琪.批流程制造执行系统及其过程建模研究[J].计算机集成制造系统CIMS,1999,5(6):26-29.
    [14]朱传军,饶运清,张超勇等.基于CORBA的可重构制造执行系统研究[J].中国机械工程,2004,15(23):2097-2101.
    [15]张新聚,岳彦芳,檀润华.制造执行系统中工具管理的研究[J].江苏机械制造与自动化,2001(4):48-50.
    [16]刘威,初延刚,柴天佑.基于MES的动态成本控制系统设计及其应用[J].东北大学学报,2003,24(8):719-722.
    [17]李铁克,孙林,杜景红等.炼钢车间MES中的生产调度系统[J].冶金自动化,2003(5): 22-25.
    [18]GE FANUC. GE FAUNC Intelligent Platforms[EB/OL]. [2011-1-3]. http://www.ge-ip.com/industries/oil-and-gas.
    [19]ASPENTECH. Introducing aspenONE V7[EB/OL]. [2011-1-3]. http://www.aspentech.com/v7/.
    [20]ROCKWELL AUTOMATION. FactoryTalk:Integrated Production and Performance Suite[EB/OL]. [2010-3-3]. http://www.rockwellautomation.com/rockwellsoftware/products/.
    [21]西门子中国SIMATIC IT Products[EB/OL]. [2011-1-3]. http://www.ad.siemens.com.cn/products/as/simatic_it/products/simatic_it/simatic_it.asp.
    [22]计世资讯.金融危机加速中国MES市场整合的步伐[EB/OL]. [2011-1-2]. http://www.ccwresearch.com.cn/store/detail/200831117403711content.asp?ColumnId=1472& ArticleId=35752.
    [23]徐智,陈芳,席裕庚等.基于ODBC的车间生产调度系统的研究与开发[J].计算机工程,2001,27(6):39-45
    [24]徐智,席裕庚,韩兵.动态环境下混合生产的Makespan调度方法[J].应用科学学报,2002,20(1):70-76
    [25]邹峥,韩兵,席裕庚.橡胶轮胎混合生产过程分布式调度系统结构[J].计算机工程,2000,26(5):74-75
    [26]韩兵,张颖川,席裕庚.橡胶轮胎混合生产过程建模与调度[J].化工自动化及仪表,1999,26(6):8-11
    [27]蒋元凯,韩兵,席裕庚.橡胶轮胎过程实时数据监控系统[J].微型电脑应用,2001,17(2):13-15
    [28]张海燕.橡胶轮胎制造执行系统(MES)的研究与应用[D].青岛:青岛科技大学,2006
    [29]赵振.橡胶行业硫化工序制造执行系统(MES)的研究与应用[D].青岛:青岛科技大学,2007
    [30]王辉.橡胶行业硫化工序制造执行系统的研究与设计[D].青岛:青岛科技大学,2009
    [31]宋世芳,粒子群算法及其在橡胶硫化车间生产调度中的应用[D],青岛:青岛科技大学,2008
    [32]高彦臣,面向轮胎企业的制造执行系统关键技术研究与应用[D],杭州:浙江大学,2010
    [33]Dempster M., Lensga J.,and Kan R., Deterministic and stochastic scheduling:introduction.Proceedings of the NATO Advanced Study and Research Institute on Theoretical Approaches to Scheduling Problems,D.Reidel Publishing Company,1981:3-14.
    [34]王凌.车间调度及其遗传算法[M].北京,清华大学出版社,2003
    [35]王万良,吴启迪.生产调度智能算法及其应用[M].北京:科学出版社,2007
    [36]Dialier D., Henri P. Fuzzy constraints in job shop scheduling[J]. Journal of Intelligent Manufacturing 1995,6:215-234
    [37]顾幸生.不确定性条件下的生产调度[J].华东理工大学学报,2000,26(5):441-446
    [38]Park M.W, Kim Y.D., A branch and bound algorithm for a production scheduling problem in an assembly system under due date constraints[J].European Journal of Operational Research,2000,123(3):504-518
    [39]Tang L.X., Peter B.L, Liu J.Y. et.al. Steel-making process scheduling using Langrangian relaxation[J].International Journal of Production Research,2002,40(1):55-70
    [40]李宵峰,徐立云,邵惠鹤等.炼钢-连铸系统的动态调度模型和启发式调度算法[J].上海交通大学学报,2001,35(11):1658-1662
    [41]何腊梅.炼钢生产物流的细胞自动机仿真模型研究[D].重庆:重庆大学,2003
    [42]曹承志,王楠.智能技术[M].北京:清华大学出版社,2004
    [43]Holland J.H.. Adaptation in natural and artificial system[M].Michigan University Press, 1995
    [44]姚志红,赵国文,韩兵.多种群变换遗传算法及其在优化调度中的应用[J].控制理论与应用,2001,18(6):882-886.
    [45]孙积刚.炼钢-连铸调度计划编制优化方法的研究[D].青岛:青岛科技大学,2010.
    [46]Colorni A., Dorigo M., Maniezzo V.. Distributed optimization by ant colonies.Proceedings of ECAL91-European Conf. on Artificial Life.Paris, France:F.Varela and F.Bourgine, Eds. Elsevier[C],1991,134-142.
    [47]王笑蓉.蚁群优化的理论模型及在生产调度中的应用研究[D].杭州:浙江大学博士论文,2003.
    [48]宁树实,王伟,潘学军.一种炼钢-连铸生产计划一体化编制方法[J].控制理论与应用,2007,24(3):374-379.
    [49]周驰,高海兵,高亮等.粒子群优化算法[J].计算机应用研究,2003,20(12):7-11
    [50]张亚妮.多种群协同进化的微粒群优化算法及其在橡胶硫化车间生产调度中的应用[D].青岛:青岛科技大学硕士论文,2009
    [51]曾齐红.基于遗传算法求解炼钢-连铸浇次排序问题[J].鞍山师范学院学报,2004,12(6):70-73
    [52]崔志华,高慧敏,曾建潮.一种求解连续连铸生产调度问题的非线性遗传算法[J].计算机工程与应用,2004,35:205-207
    [53]中商情报网.2010年中国橡胶轮胎生产供给分析.[EB/OL]. [2011-3-7] http://www.askci.com/freereports/2011-02/2011226201425.html
    [54]百度百科.子午胎.[EB/OL]. [2011-3-7] http://baike.baidu.com/view/136661.htm
    [55]河北耐磨拉轮胎制造有限公司.全钢丝载重子午线轮胎剖面图.[EB/OL]. [2011-3-7] http://www.naimola.com/cp/cp20.htm
    [56]河北耐磨拉轮胎制造有限公司.半钢丝载重子午线轮胎剖面图.[EB/OL]. [2011-3-7] http://www.naimola.com/cp/cp21.htm
    [57]百度文库.全钢子午线轮胎培训教材.[EB/OL]. [2011-3-8] http://wenku.baidu.com/view/c04bb7ccda38376baflfae29.html
    [58]轮胎产业网.轮胎设备嫁动率分析和改善初探.[EB/OL]. [2011-1-1] http://www.ltcy.ibicn.com/technology/archive/201002/034862230269667924353.html
    [59]VERMA R. Management science, theory of constraints/optimized production technology and local optimization[J]. Omega,1997,25(2):189-200.
    [60]杭州中策橡胶有限公司.杭州中策橡胶简介[EB/OL]. [2011-1-20], http://www.chaoyang.com/zoujinzc.asp
    [61]网易博客.生产统计报表的编制[EB/OL].[2011-1-20], http://89921011.blog.163.com/blog/static/765160852009311115537999/
    [62]俞燎宏.Delphi三层C/S数据库应用系统开发方法[J].电脑学习,2008,12(6):7-8
    [63]百度空间.数据库中的C/S和B/S结构[EB/OL]. [2011-1-20], http://hi.baidu.com/%D6%EC%CC%C0%F6%A9/blog/item/c321c5fb04bc908658ee9006.ht ml
    [64]樊胜.C/S与B/S的结构比较及web数据库的访问方式[J].情报科学,2001,19(4),443-445
    [65]王定乾,施建勇,白亚兰Delphi开发B/S数据库应用系统教程[M].甘肃科学技术出版社,2008
    [66]韩敏.企业生产报表系统的设计与实现[D],北京:北京化工大学,2008
    [67]周一,王世耕,黄忠全,张颖,徐志涛.基于FastReport的通用报表系统的设计与实现[J],计算机应用与软件,25(2):284-285
    [68]宋晓峰,亢金龙,王宏.进化算法的发展与应用[J].现代电子技术,2006,29(20)
    [69]刘民,吴澄,蒋新松.用遗传算法解决并行多机调度问题[J].系统工程理论与实践,1998(1):14-17,103
    [70]Bulkan S.A genetic algorithm approach to job shop scheduling[D]. Cleveland State University,1999.
    [71]Jeong Hanil,Park Jinwoo,Leachman R C.A batch splitting method for a job shop scheduling problem in all MRP environment[J]. International Journal of Production Research,1999, 37(15):3583-3598
    [72]Candido M A B,Khator S K,Barcia M A B.A genetic algorithm based procedure for more realistic job shop[J].International Journal of Production Research,1998,36(12):3437-3457
    [73]Fonseca C.M., Fleming P.J.. An Overview of Evolutionary Algorithm in Multiobjective Optimization[J]. Evolutionary Computation,1995,3(1):1-16
    [74]Hajela P., Lin C.L. Genetic Search Strategies in Multicriterion Optimal Design.Struct Optimization.1992,4:99-107

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