分布式数控系统车间排产系统的设计与实现

发布时间：2018-08-11 17:37

【摘要】：信息技术的高速发展和广泛应用，使得企业的管理都逐渐由传统管理向计算机管理转变。生产调度排产是制造执行系统中的重要部分，直接关系着企业的生产和管理效率，有效的调度方案能高效的利用生产资源，降低企业的生产成本，提高企业竞争力。车间作业调度问题是一个非常复杂的问题，本论文对遗传算法和模拟退火算法进行了详细地研究，结合遗传算法（GA）和模拟退火算法（SA）的优点，提出了一种混合遗传模拟退火算法（GASA），以便高效地解决车间作业调度问题。该算法既发挥了遗传算法收敛速度快、模拟退火算法搜索面广的优点，又克服了前者收敛容易早熟而后者收敛速度较慢的问题。从而既防止了算法会陷入局部最优解的问题，，又提高了算法的收敛速度及搜索效率。在GASA算法的基础上，设计和实现了基于Java EE平台的分布式数控系统车间排产系统。其主要目的是实现作业调度，并对生产过程进行实时控制和管理。该系统是基于B/S架构的，系统结构可具体细分为如下几层：表现层、Web层、业务逻辑层、DAO层、领域对象层、数据库服务层。它综合使用Struts、Spring和Hibernate框架，具体来说，使用Struts框架实现表现层和Web层，使用Spring框架实现业务逻辑层，使用Hibernate框架实现数据库的持久化链接。
[Abstract]:With the rapid development and wide application of information technology, the management of enterprises has gradually changed from traditional management to computer management. Production scheduling and scheduling is an important part of manufacturing execution system, which is directly related to the production and management efficiency of enterprises. An effective scheduling scheme can efficiently utilize production resources, reduce production costs and improve the competitiveness of enterprises. Job shop scheduling problem is a very complex problem. In this paper, genetic algorithm and simulated annealing algorithm are studied in detail, combining the advantages of genetic algorithm (GA) and simulated annealing algorithm (SA). A hybrid genetic simulated annealing algorithm (GASA),) is proposed to efficiently solve the job shop scheduling problem. This algorithm not only brings into play the advantages of fast convergence speed of genetic algorithm and wide search range of simulated annealing algorithm, but also overcomes the problem that the former converges prematurely and the latter converges slowly. This not only prevents the algorithm from falling into the problem of local optimal solution, but also improves the convergence speed and search efficiency of the algorithm. Based on GASA algorithm, a distributed NC system workshop scheduling system based on Java EE platform is designed and implemented. The main purpose is to achieve job scheduling and real-time control and management of production process. The system is based on the B / S architecture and can be subdivided into the following layers: presentation layer, business logic layer and Dao layer, domain object layer and database service layer. It uses Struts Spring and Hibernate framework. In particular, it uses Struts framework to implement presentation layer and Web layer, Spring framework to implement business logic layer, and Hibernate framework to implement persistent link of database.
【学位授予单位】：中国科学院研究生院（沈阳计算技术研究所）
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP311.52;TB497

【参考文献】