考虑需求满足风险的第四方物流网络优化

发布时间：2019-04-12 08:38

【摘要】：物流是物品从供应地向接收地流通过程中,根据实际需要将运输、储存、装卸、搬运、包装、信息处理等功能结合起来的过程。随着经济全球化的推进以及社会经济对物流服务要求的不断提高,传统的第三方物流(The third party Logistics,3PL)已经无法胜任企业的要求,因此,第四方物流(The fourth party Logistics,4PL)应运而生。第四方物流供应商是向客户提供一整套的供应链解决方案,其将客户、第三方物流的不同的资源、能力和技术进行有机的整合,提高供应链的效率。第四方物流关注供应链的各个方面,突破了第三方物流的局限性,真正实现了资源的共享,信息的共享,能够使得供应链高效、低成本的运行。本文考虑了需求满足风险的第四方物流网络优化的问题,分析随机需求的情况对于实验结果的影响。本文根据第四方物流实例,提取了网络优化的相关属性、约束条件以及研究目标,通过多重图的思想,建立了考虑需求满足风险的第四方物流网络优化问题的模型。对需求分布函数已知的情形,建立了等价的确定性模型,并且使用CPLEX解模型；对需求分布函数未知的情形,利用其历史数据,设计一种改进的粒子群算法。本文通过了不同规模的第四方物流网络优化问题的结果对比,验证了改进粒子群算法对不同规模问题的适用性；通过与传统粒子群算法进行对比,验证了改进粒子群算法的优越性；对不同规模的第四方物流网络优化问题进行了仿真实验与结果对比分析,对比了分布函数已知以及未知情况下的实验结果；验证了需求分布的变异系数以及客户要求的置信水平对网络优化的影响；同时也考虑了历史数据的数量对改进的粒子群算法求解准确性的影响。
[Abstract]:Logistics is a process that combines the functions of transportation, storage, loading and unloading, handling, packaging, information processing and so on in the process of the circulation of goods from the place of supply to the place of receipt according to the actual needs. With the advancement of economic globalization and the continuous improvement of the social and economic requirements for logistics services, the traditional third party logistics (The third party Logistics,3PL) has been unable to meet the requirements of enterprises. Therefore, the fourth party logistics (The fourth party Logistics,) has been unable to meet the requirements of enterprises. 4PL) came into being. The fourth party logistics supplier provides customers with a complete set of supply chain solutions, which organically integrates the different resources, capabilities and technologies of the customer, the third party logistics, and improves the efficiency of the supply chain. The fourth party logistics pays close attention to all aspects of the supply chain, breaks through the limitation of the third party logistics, realizes the sharing of resources and information, and can make the supply chain run efficiently and at low cost. In this paper, the optimization of the fourth party logistics network with demand satisfaction risk is considered, and the influence of random demand on the experimental results is analyzed. According to the examples of the fourth party logistics, this paper extracts the relevant attributes, constraints and research objectives of network optimization. Through the idea of multi-graph, a model of the fourth-party logistics network optimization problem considering the risk of demand satisfaction is established. An equivalent deterministic model is established for the case where the requirement distribution function is known, and the CPLEX solution model is used; for the case where the demand distribution function is unknown, an improved particle swarm optimization algorithm is designed by using its historical data. Through the comparison of the results of the fourth-party logistics network optimization problems with different scales, the applicability of the improved particle swarm optimization algorithm to different-scale problems is verified. Compared with the traditional particle swarm optimization algorithm, the superiority of the improved particle swarm optimization algorithm is verified. The fourth party logistics network optimization problem with different scale is simulated and analyzed, and the experimental results under the condition of known distribution function and unknown distribution function are compared. The influence of the variation coefficient of demand distribution and the confidence level of customer requirements on network optimization is verified and the influence of the number of historical data on the accuracy of the improved particle swarm optimization algorithm is also considered.
【学位授予单位】：东北大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F253

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