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RETRACTED ARTICLE: Business service network node optimization and resource integration based on the construction of logistics information systems

Author

Listed:
  • Chao Yin

    (Beijing Jiaotong University)

  • Mingyu Zhang

    (Beijing Jiaotong University)

  • Yihua Zhang

    (University of California)

  • Wenbing Wu

    (Beijing Jiaotong University)

Abstract

With the rapid development of rural retail enterprises, China’s chain retail enterprises attach increasing importance to integration management of the supermarket and the production base, but business logistics service network need to improve the way of integration optimization. How to integrate nodes between supermarket and commercial logistics distribution centre and production base is of great significance to the development of China’s commercial enterprises. In this paper, the author only selected the nodes of logistics distribution centre, supermarket chains, production base and other commercial service network for simple optimization analysis. When analysing the logistics distribution centre of retail supermarket, the paper studies the location selection modelling; When analysing the distribution routes from the production and planting base to the distribution centre, the paper studies the optimization of transportation routes according to TSP model; In the study of how to optimize the nodes of business outlets from distribution centre to supermarket stores, VRP model was adopted to analyse the paper. The supply chain process of commercial service network can be optimized by the construction of logistics information systems, information management of processing and distribution, and distribution route. Based on the relationship between commercial logistics operation cost and inventory, this paper proposes the establishment of inventory management decision support system. Through the rapid exchange of information between the distribution centre and the store, the inventory safety of the store can be guaranteed, while the product stock of the store can be reduced as much as possible, thus reducing the total cost of the operation of the supermarket. Through such nodes integrated optimization analysis, can achieve the intensive development of business logistics service network.

Suggested Citation

  • Chao Yin & Mingyu Zhang & Yihua Zhang & Wenbing Wu, 2020. "RETRACTED ARTICLE: Business service network node optimization and resource integration based on the construction of logistics information systems," Information Systems and e-Business Management, Springer, vol. 18(4), pages 723-746, December.
    • Handle: RePEc:spr:infsem:v:18:y:2020:i:4:d:10.1007_s10257-018-00393-5
    DOI: 10.1007/s10257-018-00393-5
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    References listed on IDEAS

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    1. Yiwei Huang & H. Neil Geismar & Divakar Rajamani & Suresh Sethi & Chelliah Sriskandarajah & Marcelo Carlos, 2017. "Optimizing logistics operations in a country's currency supply network," IISE Transactions, Taylor & Francis Journals, vol. 49(2), pages 223-237, February.
    2. Jason Monios, 2015. "Integrating intermodal transport with logistics: a case study of the UK retail sector," Transportation Planning and Technology, Taylor & Francis Journals, vol. 38(3), pages 347-374, April.
    3. Yang, Qian & Zhao, Xiande, 2016. "Are logistics outsourcing partners more integrated in a more volatile environment?," International Journal of Production Economics, Elsevier, vol. 171(P2), pages 211-220.
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    5. Ching-Chin Chern & Tzi-Yuan Chou & Bo Hsiao, 2016. "Assessing the efficiency of supply chain scheduling algorithms using data envelopment analysis," Information Systems and e-Business Management, Springer, vol. 14(4), pages 823-856, November.
    6. Franceschetti, Anna & Honhon, Dorothée & Laporte, Gilbert & Woensel, Tom Van & Fransoo, Jan C., 2017. "Strategic fleet planning for city logistics," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 19-40.
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    Cited by:

    1. Zhang, Ruijuan & Dai, Ying & Yang, Fei & Ma, Zujun, 2024. "A cooperative vehicle routing problem with delivery options for simultaneous pickup and delivery services in rural areas," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).

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