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基于综合满意度的物流末端网点选址研究
Research on the Location of Logistics Terminal Outlets Based on Comprehensive Satisfaction

DOI: 10.12677/MSE.2022.114078, PP. 656-664

Keywords: 灰色预测模型,物流末端网点,综合满足度,选址问题
GM(1
,1), Logistics Terminal Outlets, Overall Satisfaction, Sitting Issues

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Abstract:

现代物流业经过近些年的不断发展,已成为国民经济发展的重要支柱和基础性产业,其发展程度也成为衡量一个国家现代化程度和综合国力的重要标志之一。物流末端网点是现代物流系统中的重要物流节点,其合理的选址对我国现代物流的健康快速发展起着十分重要的作用。在本文中,首先使用了灰色预测模型,通过spssau软件对物流公司的货量历史数据进行曲线拟合,合理预测了2022年的客户未来需求量;其次本文在现有的物流末端网点选址模型的基础上,建立自提的物流末端网点选址模型,且在模型中同时考虑客户满意度和企业满足度对物流末端网点选址问题的影响,构建了基于综合满意度的物流末端网点多目标选址模型,用线性加权求和的方法转换为单目标模型。最后通过软件求解,得到了不同权重下的选址方案。通过检验,该方法符合物流末端网点选址的实际要求和发展。
After the continuous development of modern logistics in recent years, it has become an important pillar and basic industry of national economic development, and its development degree has also become one of the important indicators to measure the degree of modernization and comprehensive national strength of a country. The logistics terminal network is an important logistics node in the modern logistics system, and its reasonable location plays a very important role in the healthy and rapid development of modern logistics in China. In this paper, the gray prediction model is first used to do curve fit of the historical data of the logistics company’s volume through the spssau software, and the future demand of customers in 2022 is reasonably predicted. Secondly, on the basis of the existing logistics terminal network location model, this paper establishes a self-pickup logistics terminal network location model, and considers the influence of customer satisfaction and enterprise satisfaction on the location problem of logistics terminal network in the model, constructs a multi-objective location model of logistics terminal network based on comprehensive satisfaction, and converts it into a single-objective model by linear weighted summation. Finally, through software solution, the site selection scheme under different weights is obtained. Through the test, the method meets the actual requirements and development of logistics terminal network site selection.

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