Volume 3, Issue 6, November 2018, Page: 129-140
The Relationship of Delivery Frequency with the Cost and Resource Operational Efficiency: A Case Study of Jingdong Logistics
Jianbang Du, Department of Environmental and Interdisciplinary Sciences, Texas Southern University, Houston, USA
Yeliang Sun, Zhejiang Tian Hong Material Trade CO. LTD, Hangzhou, China
Huanyu Ren, School of Economics and Management, Beijing Jiaotong University, Beijing, China
Received: Oct. 24, 2018;       Accepted: Nov. 13, 2018;       Published: Jan. 4, 2019
DOI: 10.11648/j.mcs.20180306.12      View  968      Downloads  222
Under drastic competition, major express companies have increased their daily delivery frequency to improve customer satisfaction and market share. The inverse relationship of frequency with cost and operational efficiency becomes the key to the decision of delivery frequency. This paper uses JD Logistics as an example to quantitatively analyze the relationship mentioned above. The results show that: (1) The cost and resources operational efficiency are closely related to the order splitting ratio under the same delivery frequency; (2) The delivery frequency has different effects on the operational efficiency of the resources in different links. (3) Through the proper splitting and loading of orders, staff scheduling, and area adjustment of delivery station, the optimal delivery frequency can be achieved under the balance of cost and resource operational efficiency. In order to reduce the operating costs of logistics enterprises on the basis of ensuring service levels, one should first properly allocate the amount of orders and splitting ratios to achieve an economic increase in the delivery frequency. In addition, it is important for the logistics enterprises to consider the constraints such as delivery resources and consumer satisfaction to achieve the appropriate decision of delivery frequency. What’s more, it is also crucial to reasonably arrange vehicle loading, staff scheduling and distribution station leasing for the logistics enterprises.
Delivery Frequency, Delivery Cost, Delivery Resource Operational Efficiency, System Dynamics
To cite this article
Jianbang Du, Yeliang Sun, Huanyu Ren, The Relationship of Delivery Frequency with the Cost and Resource Operational Efficiency: A Case Study of Jingdong Logistics, Mathematics and Computer Science. Vol. 3, No. 6, 2018, pp. 129-140. doi: 10.11648/j.mcs.20180306.12
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Shepherd, S. and Emberger, G. (2010), Introduction to the special issue: system dynamics and transportation. Syst. Dyn. Rev., 26: 193-194.
Bivona, E. and Montemaggiore, G. B. (2010), Understanding short-and long-term implications of “myopic” fleet maintenance policies: a system dynamics application to a city bus company. Syst. Dyn. Rev., 26: 195-215.
Walther, G. , Wansart, J. , Kieckhäfer, K. , Schnieder, E. and Spengler, T. S. (2010), Impact assessment in the automotive industry: mandatory market introduction of alternative powertrain technologies. Syst. Dyn. Rev.
Fan Xuemei, Xie Yuan, Zhou Jian, Wang Bo, An Yang. Urban Delivery Mode and Efficiency Evaluation under B2C Mode [J]. Railway Transport & Economics, 2013(7): 65-70.
Jesus G F, Josep M S. Defining and Evaluating Collaborative Urban Freight Transportation Systems [J]. Procedia- Social and Behavioral Scie
Dong Kaifan, Gan Hongcheng, Zhang Huizhen. Research on Location Model of Delivery Center Considering Economy and Timeliness [J]. Journal of University of Shanghai for Science and Technology, 2013, 35(04): 336-339.
Zhou Xiang, Xu Maozeng, Lü Qiguang. Two-stage Layout Optimization Model of Delivery Center and End Node in B2C Mode [J]. Computer Integrated Manufacturing Systems, 2014, 20(12): 3140-3149.
Guan Fei, Zhang Qiang. Fuzzy Multi-objective Logistics Delivery Center Location Model and Its Solution Algorithm [J]. China Management Science, 2013, 21(Special Issue): 59-62.
Wu Jieming. Simulation Research on Logistics Delivery Vehicle Routing Problem [J]. Computer Simulation, 2011, 28(17): 357-360.
Silvia S, Stefan V. Improved load balancing and resource utilization for the Skill Vehicle Routing Problem [J]. Optimization Letters, 2013, 7(8): 1805-1826.
Liu Zhixiong. Optimization of Logistics Delivery Vehicle Scheduling Based on Improved Particle Swarm Optimization [J]. Journal of Wuhan University of Science and Technology: Natural Science Edition, 2009, 32 (6): 615-618.
Jianbang Du, Qing Li, Fengxiang Qiao. Impact of Different Ramp Metering Strategies on Vehicle Emissions Along Freeway Segments [J]. Journal of Transport & Health, 2018, Vol.09(06), S51.
Andreas H , Alexander H, Heinrich K , Michael G. Sternbeck Delivery pattern and transportation planning in grocery retailing [J]. European Journal of Operational Research, 2016, 252(1): 54-68.
Cao D T, Feng J Z. The Research on Related Scheduling Model and Algorithm for Logistics Matching Problem [J], Atlantis Press, 2015, 48(5): 919–936.
Li Lin, Liu Shixin, Tang Jiafu. Order Delivery Optimization Model and Two-stage Algorithm in E-commerce [J]. Journal of Systems Engineering, 2011, 26(2), 237-243.
Tang Mingyu. Study on the Impact of Beijing Logistics Policy on Urban Delivery Efficiency [D]. Beijing Jiaotong University, 2016.
Wang Wei, Research on the Combinated Selection of B2C E-commerce Delivery Models for Department Stores [D]. Beijing Jiaotong University, 2014.
Barlas Y, Aksogan A. Product diversification and quick response order strategies in supply chain management [R]. Bbgazici niversity. 1997.
Hongtao Yang, Jianbang Du. Study on efficiency of supply chain based on single revenue sharing contract and double contracts combination [C]. International Conference on Logistics, Informatics and Service Sciences, Sydney, Australia on 24-27 July, 2016: 1-7.
Jianbang Du, Qing Li, Fengxiang Qiao, and Lei Yu. Identifying Lane Change Impacts on Drivers’ Stress from a Field Measurement and Related Analyses of Heart Rate Variability [J]. Journal of Public Health, 2017, Vol.01(02) , 1-4.
Jianbang Du, Qing Li, Fengxiang Qiao, Lei Yu. VEHICLE EMISSION ESTIMATION ON MAINLINE FREEWAY UNDER ISOLATED AND INTEGRATED RAMP METERING STRATEGIES [J]. Environmental Engineering and Management Journal, 2018, Vol.17(05), 491-503.
Lin Wanting, Research on Quality Evaluation of Crowdsourcing Logistics Based on System Dynamics [D]. Beijing Jiaotong University, 2016.
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