石化企业生产计划系统建模与优化研究

发布时间：2018-11-11 00:06

【摘要】：石油工业是我国国民经济的支柱产业,它的发展直接影响着我国经济的未来。21世纪以来,随着我国经济的快速发展以及我国加入WT0,我国国民经济进入了一个新的时代。经济全球化、一体化给我国企业带来新的机遇的同时也带来了巨大的压力和挑战。同国外石化企业相比,我国企业在技术和计划管理方面都相对落后。为了提高我国石化企业的国际竞争力,就必须提高生产计划管理方面的不足。论文针对目前我国石化企业生产计划的特点进行了建模与优化研究。论文首先总结了目前我国石化行业的特点,以及在生产计划编制方面存在的问题。介绍了目前国内外生产计划编制的现状,以及石化行业生产计划相关的专业知识和概念,为论文对石化企业生产计划系统的建模和优化研究奠定了基础。然后,针对传统生产计划编制中对装置产品收率处理方式的不足,对装置进行了产品收率建模。在分析了影响装置产品收率的因素的基础上,应用BP神经网络方法对常减压装置和催化裂化装置进行了建模。另外,研究了石化企业生产加工流程的特点,并应用线性规划技术建立了以企业利润最大为目标的LP优化模型,为后面生产计划排产优化系统的优化模块奠定基础。最后,论文基于常减压装置产品收率模型和生产计划LP优化模型,以Z石化企业为研究对象,设计并实现了生产计划排产优化系统。分别对系统设计目的、系统结构、数据库设计以及各模块的功能界面设计做了详细介绍。并针对Z石化企业某月份的原油采购计划,应用该系统做了生产计划编制与优化,得到了预期的结果,验证了该系统的实用性。
[Abstract]:Petroleum industry is the pillar industry of our national economy, and its development directly affects the future of our economy. Since the 21st century, with the rapid development of China's economy and China's entry into WT0, our national economy has entered a new era. Economic globalization and integration bring new opportunities to Chinese enterprises, but also great pressure and challenges. Compared with foreign petrochemical enterprises, Chinese enterprises are relatively backward in technology and planning management. In order to improve the international competitiveness of petrochemical enterprises in our country, we must improve the shortage of production planning management. According to the characteristics of production planning of petrochemical enterprises in China, the modeling and optimization are studied in this paper. Firstly, the paper summarizes the characteristics of petrochemical industry and the problems in production planning. This paper introduces the present situation of production planning at home and abroad as well as the professional knowledge and concepts related to production planning in petrochemical industry, which lays a foundation for the modeling and optimization of production planning system in petrochemical enterprises. Then, aiming at the shortage of the traditional production plan, the product yield model is built. Based on the analysis of the factors affecting the product yield of the unit, the BP neural network method was used to model the atmospheric and vacuum units and catalytic cracking units. In addition, the characteristics of the production and processing process in petrochemical enterprises are studied, and the LP optimization model aiming at the maximum profit of the enterprise is established by using linear programming technology, which lays the foundation for the optimization module of the following production planning and scheduling system. Finally, based on the product yield model of atmospheric and vacuum unit and the LP optimization model of production planning, a production scheduling optimization system is designed and implemented with Z petrochemical enterprise as the research object. The purpose of system design, system structure, database design and functional interface design of each module are introduced in detail. According to the crude oil purchase plan of Z petrochemical enterprise in a certain month, the system is used to compile and optimize the production plan, and the expected results are obtained, and the practicability of the system is verified.
【学位授予单位】：山东大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TE65;TP183

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