区域成品油运输方式选择及油库选址研究

发布时间：2018-02-14 04:51

本文关键词： 遗传粒子群算法油库选址成品油配送方案优化　出处：《吉林大学》2017年硕士论文　论文类型：学位论文

【摘要】：石油在国家经济建设和人民生产生活等各个领域拥有着重要的位置。近年来,随着科学技术和经济的飞速发展,经济市场化程度加深,开放型经济为物流系统的发展提出了新的更高要求。合理的成品油运输方式以及油库选址作为提高企业利润,满足国内市场需求和减少成品油运输成本的重要环节,已成为当今企业所面临的一大难题。同时,这也为成品油配送的发展提供了广阔的空间。首先,以湛江分公司为例,对成品油运输项目管理的发展现状、存在的问题进行详细阐述。同时,通过科学合理地设计运输方式,成品油运输成本被降低、使得运输效率大大提高,这对于正处在改革攻坚阶段的中国石油企业物流体系来说,无疑将推动其物流系统改革进程,充分证明了完善成品油运输改革的必要性,有利于转变经营观念、降低改革的阻力,为物流系统的进一步发展创造有利条件。本文主要对成品油运输项目管理进行探讨,分析了我国成品油运输方式的特点,构建了成品油运输系统的联合运输运输方式以及建立了成品油油库选址的系统模型,并利用智能算法对该模型的最优值进行求解。其次,针对普通遗传算法易于陷入局部极值的问题,提出了一种改进的遗传粒子群算法;对粒子的自适应性和惯性权重进行改进,通过仿真,发现改进粒子群算法克服了标准粒子群算法容易陷入局部最优的问题,且寻优能力强,对联合运输运输及油库选址具有指导作用。最后,以中石油湛江分公司为例进行实证分析,通过对联合运输运输方式、油库选址进行研究和设计,对配送方式进行优化、运输分配、整合油库等措施,并且考虑成品油的配送,统一优化,以期达到降低成品油物流成本、增加经济效益的目的。所研究的内容在实际的成品油运输项目管理应用中具有一定的借鉴性。
[Abstract]:Oil has an important position in the national economic construction and people's production and life and other fields. In recent years, with the rapid development of science and technology and economy, the deepening marketization of the economy, open economy put forward new and higher requirements for the development of the logistics system. Reasonable product oil transportation and oil depot location is improved the profits of enterprises, meet the needs of the domestic market and the important link of reducing oil transportation costs, has become a major problem faced by the enterprises. At the same time, it also provides a broad space for the development of oil distribution. First, taking Zhanjiang branch as an example, the current situation of the development of the management of transportation project of refined oil, for in detail the problems. At the same time, through scientific and rational design of the mode of transportation, the oil transportation cost is reduced, the transportation efficiency is greatly improved, it is in the crucial stage of reform The China oil logistics system, logistics system will undoubtedly promote the reform process, fully proved the necessity of perfecting the reform of refined oil transportation, is conducive to the transformation of management idea, reduce the resistance to reform and create favorable conditions for the further development of the logistics system. This paper mainly discusses the management of refined oil transportation project, analysis the characteristics of China's refined oil transportation, construction of combined transport mode of transport of refined oil transportation system and oil depot location system model is established, and the use of intelligent algorithm to solve the optimal value of the model. Secondly, according to the general genetic algorithm is easy to fall into the local extremum problem, put forward a kind of improved genetic particle the particle swarm algorithm; adaptive inertia weight and improved by simulation, found that the improved PSO algorithm can overcome the particle swarm algorithm is easy to The problem of local optimum, and the optimization ability, plays a guiding role in transport and combined transport depot location. Finally, as an example of empirical analysis to the Zhanjiang branch of oil, based on the mode of transportation combined transportation, oil depot location research and design, to optimize the distribution mode of transport, distribution, integrated measures of oil depot so, considering the refined oil distribution, unified optimization, in order to reduce the oil logistics cost, increase the economic benefits. The research content has a certain reference in the actual product oil transportation project management application.

【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F426.22;F252

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