【作者】 赵雪；

【导师】 唐国维； 刘东；

【作者基本信息】 东北石油大学 ， 计算机软件与理论， 2011， 硕士

【摘要】 在市场经济不断发展的今天,传统的ERP/MRPⅡ已无法满足企业的需求,企业的战略性计划跟不上市场的变化,采用MES来提高企业竞争力是当今流程行业研究的热点之一。MES可以实现对生产过程的监督,将生产计划更加精细化,实时采集生产数据将其传递给需要的部门,不但可以提高生产的效率,而且可以增加企业的效益,改善产品的质量,是实现企业信息集成行之有效的措施。本文对MES模型的总体方案进行设计,并研究其起核心作用的生产调度问题。主要研究内容如下：在分析了流程行业特点的基础上,结合国际上的ISA SP95标准和MESA功能模型,用一套标准的术语、一致的概念和模型,构建出适合国内流程行业的MES模型。此模型完整的分配了整个企业的信息,增强了各个模块之间的连续性。管理部门可以充分利用各个模块提供的生产数据进行各种生产分析,加强了企业的生产管理。深入研究了生产调度模块,将完整的生产调度问题根据炼油企业生产的特点分解为原油混炼调度、生产装置调度和油品调和调度。分析其生产的有关参数和约束条件,以炼油厂利润最大化为调度总目标,建立三个模型,通过这样的有效分解,减小调度模型的规模。三个模型之间既相互联系,又相互制约,实现生产全过程的优化。在基本粒子群算法的基础上,引入变异算子到动态调整惯性权重的粒子群优化算法,将其运用在原油混炼调度、生产装置调度和油品调和调度模型上,使迭代中的惯性权重ω随粒子的速度和位置的更新而变化。与基本粒子群算法相比较,提高了全局搜索能力,使目标函数逼近最优解,提高了炼油企业的利润,并通过实例验证了算法的有效性。更多还原

【Abstract】 With the continuous development of market economy, the traditional ERP/MRP II has been unable to meet the demands of enterprises whose strategic planning can not keep up with changes of market. To improve the competitiveness of enterprises, MES is one of the hottest study of modern flow process. MES can be used to supervise the production process, refine the production planning and collect production data real-time to pass it to the departments where it’s needed. In this way, it can not only improve production efficiency, but also it can increase benefit and improve product quality. MES is an effective measure to integrate enterprise information.The overall scheme of MES model is designed in this paper. In addition, production scheduling, which plays a central role in the MES is discussed. The important contents included are as follows:Based on analyzing characteristics of flow process industry, MES model, combined with international ISA SP95 standards and function model of MESA is built with a standard set of terminology and unified concepts. This model completes distribution of the whole business information to enhance the continuity of each module. Management department can make full use of the production data of each module to analyze production process, as well as to strengthen the production management.By deep study of production scheduling model, complete production scheduling is decomposed into scheduling of mixed crude oil, production equipment scheduling and mediation oil according to characteristics of oil production. By analyzing relational parameters and constrains, three models are built, taking maximum benefit as the overall goal. The effective decomposition can reduce the scale of scheduling model. The three components are mutual interrelated and restraint to realize optimization of whole production process.Mutation operator is introduced to dynamic adjustment of the inertia weight PSO. The algorithm is used to crude oil mixing scheduling model, production equipment scheduling model and oil harmonic scheduling model. The inertia weight is dynamic adjusted with speed and position update of particle. Compared with the particle swarm algorithm, this algorithm improves the convergence rate, finds the optimal solution of the objective function and increases the profits of oil refining enterprises. Examples show the effectiveness of the algorithm.更多还原