商务智能在企业物流决策中的应用研究

发布时间：2018-05-11 10:42

本文选题：物流决策 + 商务智能　；参考：《浙江理工大学》2015年硕士论文

【摘要】：物流是社会发展的产物，它是包含库存管理、现代运输、产品配送、客户服务等一系列活动的服务性行业。物流的关键在于管理，而管理是否合理在于决策的正确性。对于物流企业而言，决策正确与否对企业今后的发展起到了决定性的作用。目前我国的大多数物流企业在运输调度、库存控制等方面的决策有一定成果，但主要还是依赖于传统的经验分析方法，因此急需科学的物流决策。本文设计和开发了基于商务智能技术的物流决策支持系统，以浙江中烟为例，对企业物流的需求进行开发。主要包括运输调度和智能化库存管理两大决策模块，一方面支持业务人员进行业务分析，另一方面支持企业高层决策者进行科学决策。本文主要研究工作归纳如下： 1）本文提出的物流决策系统是以数据仓库为中心，将商务智能技术与物流管理系统相融合，支持决策者从出大量隐藏的数据中发现规律，从而作出决策。 2）使用ETL工具对浙江省十一个地市公司数据进行抽取与整合，针对浙江省烟草的实际情况，建立省烟草公司的数据仓库。 3）库存决策模型的建立。该模型采用主动供货的库存控制策略与存销比共同确定库存水平，建立预警机制和风险管理，实现对市场销售动态、库存和投放等关键指标的实时监控与自动预警，进而确保卷烟销量预测、库存定位和实时投放工作的科学有序进行，从而协助企业降低库存管理成本，提高库存管理水平。 4）运输调度决策模型建立。针对烟草物流车辆调度问题的实际情况构建有约束条件的数学模型，并使用遗传算法对其进行计算。在遗传算法中改进染色体基因编码，使遗传算法能更有效地解决物流企业的配送线路问题，，从而提高配送速度、降低配送成本，增加企业的利润。
[Abstract]:Logistics is the product of social development, it is a series of activities including inventory management, modern transportation, product distribution, customer service and so on. The key of logistics lies in the management, and whether the management is reasonable or not lies in the correctness of the decision. For logistics enterprises, decision-making plays a decisive role in the future development of enterprises. At present, most logistics enterprises in our country have some achievements in transportation scheduling, inventory control and other aspects, but mainly rely on the traditional empirical analysis method, so it is urgent to make scientific logistics decision. In this paper, a logistics decision support system based on business intelligence technology is designed and developed. Taking Zhongyan in Zhejiang province as an example, the logistics needs of enterprises are developed. It mainly includes two decision modules: transportation scheduling and intelligent inventory management. On the one hand, it supports business personnel to carry out business analysis, on the other hand, it supports high-level decision makers to make scientific decisions. The main research work of this paper is summarized as follows: 1) the logistics decision system proposed in this paper is based on data warehouse, which combines business intelligence technology with logistics management system, and supports decision-makers to discover laws from a large number of hidden data and make decisions. 2) using ETL tools to extract and integrate the data of 11 local companies in Zhejiang Province, and to establish the data warehouse of tobacco companies in Zhejiang Province. 3) Establishment of inventory decision model. In this model, the inventory control strategy of active supply and the ratio of inventory to sales are adopted to determine the inventory level together, and the early-warning mechanism and risk management are established to realize the real-time monitoring and automatic warning of the key indicators such as market dynamics, inventory and delivery. Thus, the prediction of cigarette sales volume, inventory positioning and real-time operation are carried out in a scientific and orderly manner, thus helping enterprises to reduce the cost of inventory management and improve the level of inventory management. 4) the decision model of transportation scheduling is established. According to the actual situation of tobacco logistics vehicle scheduling problem, a constrained mathematical model is constructed, and the genetic algorithm is used to calculate it. In order to solve the problem of distribution route more effectively, genetic algorithm can improve the genetic algorithm, which can improve the distribution speed, reduce the distribution cost and increase the profit of the enterprise.
【学位授予单位】：浙江理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP311.13

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