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面向单件小批MES的车间作业调度问题研究
Reserch on Job-shop Scheduling Algorithm of Single Piece and Small Batch MES
【作者】 黄韬;
【导师】 刘胜辉;
【作者基本信息】 哈尔滨理工大学 , 计算机软件与理论, 2011, 硕士
【摘要】 制造执行系统(Manufacturing Execution System,MES)是面向车间生产的管理信息系统,也是实现快捷制造、节约企业成本的基础。随着经济形势的转变,单件小批生产已成为现有中小型企业的主要生产方式,如何将MES系统应用到单件小批生产中,已是最具吸引力的研究热点之一。车间作业调度问题是MES的核心模块,其实质是一种资源约束、时间约束和工序约束等组合优化问题,研究及应用车间作业调度问题对于我国制造业提高管理水平,生产效率,以及实施先进制造战略等均有重要的意义。但是由于实际车间作业调度的动态不确定性和复杂性,给实际的研究及应用带来了很大挑战。首先,在研究分析传统MES体系结构的基础上,根据单件小批车间作业调度实际生产所面临的压力及困难,构建了单件小批制造执行系统的功能模型,对单件小批MES体系结构的功能模块进行了详细阐述。同时,从单件小批企业实际需求出发,研究了单件小批MES与企业资源计划、车间现场控制的信息集成。然后,在分析传统的车间作业调度问题的基础上,结合单件小批调度的约束条件,针对GA算法会发生进化缓慢或者早熟现象,将SA算法引入到交叉和变异操作,提出了遗传模拟退火调度算法——GASA混合调度算法,并给出算法数学模型、算法模型、算法流程。GA的并行抽样性可以将算法时间优化性能提高,而SA的控制准则可以控制结合后算法的收敛性,避免出现早熟现象。利用经典调度问题FT06,验证了GASA算法的正确性,并与传统GA算法进行比较,验证了GASA算法的高效性。最后,论文采用Java编程语言、JBuilder开发环境、B/S模式开发MES中的车间作业调度原型系统。在充分调研的基础上,构建了车间作业调度系统的数据库,并结合作业计划与调度的实际问题,对单件小批MES作业计划与调度优化方法进行了实例研究。
【Abstract】 Manufacturing execution system MES is a workshop for the production of management information systems, but also to achieve efficient production, saving companies the cost basis. With the economic situation changes, single and small batch production of existing small and medium enterprises have become the main mode of production, how to MES system applied to the single and small batch production, is one of the most attractive research focus. MES job shop scheduling problem is the core module, and its essence is a kind of resource constraints, time constraints and process constraints such as combinatorial optimization problems, research and application of job shop scheduling problem for China’s manufacturing sector improve management, productivity, and the implementation of advanced manufacturing strategies are important, therefore, job shop scheduling research has theoretical and practical significance. However, due to the dynamic job shop scheduling real uncertainty and complexity, to the actual research and applications is a big challenge.In the study analyzed characteristics of single and small batch production and the MES architecture based on this small group of single function modules MES architecture elaborate. According to a single small-batch job shop scheduling Shiji production of the pressures and difficulties, from needs analysis to start research on the system use case model analysis, and on this basis, build a single-piece and small batch job shop scheduling system functional model , the corresponding module in detail. In this paper, the slow evolution of GA algorithm will occur, or premature, and the SA algorithm is introduced to the crossover and mutation, genetic simulated annealing algorithm is proposed - GASA algorithm, mathematical model is given algorithm, the algorithm model, the algorithm process. GA parallel sampling of the time optimization algorithm performance can be improved, and the control of SA binding guidelines to control the convergence of the algorithm to avoid prematurity. The classical scheduling problem FT06, GASA correctness of the algorithm is verified and compared with the traditional GA algorithm is verified GASA efficiency of the algorithm.Finally, the paper uses Java programming language, JBuilder development environment, B/S mode MES in the development of a prototype job shop scheduling system. On the basis of thorough investigation to build a database of job shop scheduling system, and typically through practical shop scheduling problem solving, demonstrate the effectiveness of the system and the scheduling algorithm, the actual project has a strong reference value.
【Key words】 manufacturing execution system; shop scheduling; genetic algorithms; simulated annealing algorithm;