Mathematics and Computer Science

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The Relationship of Delivery Frequency with the Cost and Resource Operational Efficiency: A Case Study of Jingdong Logistics

Received: Oct. 24, 2018    Accepted: Nov. 13, 2018    Published: Jan. 04, 2019
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Abstract

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.

DOI 10.11648/j.mcs.20180306.12
Published in Mathematics and Computer Science ( Volume 3, Issue 6, November 2018 )
Page(s) 129-140
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Delivery Frequency, Delivery Cost, Delivery Resource Operational Efficiency, System Dynamics

References
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[4] 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.
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[7] 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.
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[12] 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.
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[16] Tang Mingyu. Study on the Impact of Beijing Logistics Policy on Urban Delivery Efficiency [D]. Beijing Jiaotong University, 2016.
[17] Wang Wei, Research on the Combinated Selection of B2C E-commerce Delivery Models for Department Stores [D]. Beijing Jiaotong University, 2014.
[18] Barlas Y, Aksogan A. Product diversification and quick response order strategies in supply chain management [R]. Bbgazici niversity. 1997.
[19] 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.
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  • APA Style

    Jianbang Du, Yeliang Sun, Huanyu Ren. (2019). The Relationship of Delivery Frequency with the Cost and Resource Operational Efficiency: A Case Study of Jingdong Logistics. Mathematics and Computer Science, 3(6), 129-140. https://doi.org/10.11648/j.mcs.20180306.12

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    ACS Style

    Jianbang Du; Yeliang Sun; Huanyu Ren. The Relationship of Delivery Frequency with the Cost and Resource Operational Efficiency: A Case Study of Jingdong Logistics. Math. Comput. Sci. 2019, 3(6), 129-140. doi: 10.11648/j.mcs.20180306.12

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    AMA Style

    Jianbang Du, Yeliang Sun, Huanyu Ren. The Relationship of Delivery Frequency with the Cost and Resource Operational Efficiency: A Case Study of Jingdong Logistics. Math Comput Sci. 2019;3(6):129-140. doi: 10.11648/j.mcs.20180306.12

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  • @article{10.11648/j.mcs.20180306.12,
      author = {Jianbang Du and Yeliang Sun and Huanyu Ren},
      title = {The Relationship of Delivery Frequency with the Cost and Resource Operational Efficiency: A Case Study of Jingdong Logistics},
      journal = {Mathematics and Computer Science},
      volume = {3},
      number = {6},
      pages = {129-140},
      doi = {10.11648/j.mcs.20180306.12},
      url = {https://doi.org/10.11648/j.mcs.20180306.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.mcs.20180306.12},
      abstract = {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.},
     year = {2019}
    }
    

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    AU  - Jianbang Du
    AU  - Yeliang Sun
    AU  - Huanyu Ren
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    DO  - 10.11648/j.mcs.20180306.12
    T2  - Mathematics and Computer Science
    JF  - Mathematics and Computer Science
    JO  - Mathematics and Computer Science
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    EP  - 140
    PB  - Science Publishing Group
    SN  - 2575-6028
    UR  - https://doi.org/10.11648/j.mcs.20180306.12
    AB  - 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.
    VL  - 3
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    ER  - 

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Author Information
  • Department of Environmental and Interdisciplinary Sciences, Texas Southern University, Houston, USA

  • Zhejiang Tian Hong Material Trade CO. LTD, Hangzhou, China

  • School of Economics and Management, Beijing Jiaotong University, Beijing, China

  • Section