Super-Efficiency-Malmquist Model-Based Efficiency Evaluation of Logistics Distribution Center considering Truck Traffic Restriction

IF 2 4区 工程技术 Q2 ENGINEERING, CIVIL Journal of Advanced Transportation Pub Date : 2024-08-03 DOI:10.1155/2024/8989408
Jiao Yao, Xiurong Wu, Hao Li, Beibei Xie, Cong Zhang
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Abstract

Combining the super-efficiency model based on data envelopment analysis (DEA) with the Malmquist index model, this paper evaluated the efficiency of the logistics distribution center comprehensively considering the truck traffic restriction and provided decision suggestions to improve the efficiency of the logistics distribution center. This paper takes 20 logistics distribution centers as the research objects and uses economic factors, transportation factors, quality of distribution center business activities, and quality of customer service as the primary input indicators; selects eight indicators such as construction cost, transportation cost, labor cost, road facilities, accessibility, business demand, number of laborers, and customer satisfaction as the secondary input indicators; chooses distribution time and profit as the output indicators; and measures the static efficiency of logistics distribution centers from two perspectives, including the traditional unconstrained super-efficiency model and the truck- restricted conditions, using the super-efficiency model of data envelopment analysis (DEA). The Malmquist index model was used to measure the dynamic efficiency and change trend efficiency of the logistics distribution center, and a unified and comprehensive analysis was also made. The results of the case study show that the average efficiency of the logistics distribution center in the driving and nondriving restriction area is 0.872 and 0.914, respectively, and the average efficiency in the driving restriction area is about 4.5% lower than that of the nondriving restriction area, and variance is 1.58 times of the latter. Therefore, it can be concluded that the measures of truck driving restriction have an impact on the efficiency of the logistics distribution center, and the results of the super-efficiency model with the restriction constraint have a greater impact on the logistics efficiency of the logistics distribution center than the traditional unconstrained super-efficiency model. According to the evaluation results, suggestions on reasonable assignment of labor and other resources input are put forward for logistics distribution centers in areas where driving is restricted to improve efficiency.

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基于超效率马尔奎斯特模型的考虑卡车交通限制的物流配送中心效率评估
本文结合基于数据包络分析(DEA)的超效率模型和马尔奎斯特指数模型,综合考虑货车限行因素,对物流配送中心的效率进行了评价,并提出了提高物流配送中心效率的决策建议。本文以 20 个物流配送中心为研究对象,以经济因素、运输因素、配送中心业务活动质量、客户服务质量为一级输入指标;选取建设成本、运输成本、人工成本、道路设施、可达性、业务需求、劳动力数量、客户满意度等 8 个指标为二级输入指标;选择配送时间和利润作为产出指标,利用数据包络分析(DEA)的超效率模型,从传统的无约束超效率模型和货车受限条件等两个角度来衡量物流配送中心的静态效率。并利用 Malmquist 指数模型对物流配送中心的动态效率和变化趋势效率进行了统一的综合分析。案例研究结果表明,物流配送中心在限行区和非限行区的平均效率分别为 0.872 和 0.914,限行区的平均效率比非限行区低约 4.5%,方差是后者的 1.58 倍。因此,可以得出结论:货车限行措施对物流配送中心的效率有影响,与传统的无约束超效率模型相比,有约束超效率模型的结果对物流配送中心的物流效率影响更大。根据评价结果,对限制驾驶地区的物流配送中心提出了合理分配劳动力和其他资源投入的建议,以提高效率。
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来源期刊
Journal of Advanced Transportation
Journal of Advanced Transportation 工程技术-工程:土木
CiteScore
5.00
自引率
8.70%
发文量
466
审稿时长
7.3 months
期刊介绍: The Journal of Advanced Transportation (JAT) is a fully peer reviewed international journal in transportation research areas related to public transit, road traffic, transport networks and air transport. It publishes theoretical and innovative papers on analysis, design, operations, optimization and planning of multi-modal transport networks, transit & traffic systems, transport technology and traffic safety. Urban rail and bus systems, Pedestrian studies, traffic flow theory and control, Intelligent Transport Systems (ITS) and automated and/or connected vehicles are some topics of interest. Highway engineering, railway engineering and logistics do not fall within the aims and scope of JAT.
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