商品混凝土配送优化策略研究

发布时间：2018-03-10 20:43

本文选题：物流管理　切入点：商品混凝土　出处：《中南林业科技大学》2013年硕士论文　论文类型：学位论文

【摘要】：商品混凝土是重要的建筑材料,其使用量呈逐年递增的趋势。由于商品混凝土本身的物理特性以及施工工地所面临的人员、设备、天气、地理、交通等条件的多变性，使得商品混凝土的配送具有极大挑战效性。随着市场竞争的加剧,商品混凝土的配送的效率、成本、质量不仅影响社会资源的利用率,同时也影响企业的核心竞争力。并且商品混凝土配送在混凝土经营销售企业中总成本占据较大的比例,也是影响客户总体满意度的关键环节。在此背景下,主要做了如下的工作：首先,依据当前混凝土行业特点系统的分析了混凝土配送特点、配送流程、影响因素等,并根据分析结果总结出目前混凝土配送存在的问题。其次,根据现状提出了几点有价值的优化策略：整合商品混凝土市场、建立混凝土行业数据库、使用先进信息技术、构建与客户双赢模式、优化配送路径、优化配送中心选址、优化车辆调度等。然后,对配送优化中最重要的两个问题即配送中心选址优化和混凝土车辆调度优化进行详细的分析。其中,对于配送中心选址优化策略建立配送中心选址优化模型,并利用重心法结合具体案例进行解答,验证了模型和算法的实际指导意义。另外,对于混凝土车辆调度优化策略建立优化模型,并采用遗传算法,在计算机上用C++编辑系统程序进行求解,并结合具体案例,验证了模型和算法的有效性。最后,对全文进行总结,指出文章研究的不足和未来的研究方向。
[Abstract]:Commercial concrete is an important building material, and its usage is increasing year by year. Due to the physical characteristics of commercial concrete and the variability of personnel, equipment, weather, geography, transportation and other conditions in construction site, As the market competition intensifies, the efficiency, cost and quality of distribution of commodity concrete not only affect the utilization ratio of social resources. At the same time, it also affects the core competitiveness of the enterprise. And the total cost of the distribution of commercial concrete in the concrete operating and marketing enterprises occupies a large proportion, which is also the key link to affect the overall customer satisfaction. In this context, The main tasks are as follows:. First of all, according to the characteristics of the current concrete industry, the characteristics of concrete distribution, distribution process, factors, and other factors are systematically analyzed, and according to the results of the analysis summarized the existing problems in the distribution of concrete. According to the present situation, several valuable optimization strategies are put forward: integrating the commercial concrete market, establishing the concrete industry database, using advanced information technology, constructing a win-win model with customers, optimizing the distribution path, optimizing the location of the distribution center. Optimize vehicle scheduling, etc. Then, the two most important problems in distribution optimization, namely, distribution center location optimization and concrete vehicle scheduling optimization, are analyzed in detail, among which, the distribution center location optimization model is established for the distribution center location optimization strategy. The practical significance of the model and algorithm is verified by using the barycenter method combined with specific cases. In addition, for the optimization strategy of concrete vehicle scheduling, the optimization model is established, and the genetic algorithm is used to solve the problem with C editing system program on the computer. The validity of the model and algorithm is verified by a concrete case study. This paper summarizes the full text and points out the deficiency of the article and the future research direction.
【学位授予单位】：中南林业科技大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP18;F252;F426.92

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