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Research on Improvement of Hotel Supply Chain Resource Management Decision in the Era of Big Data

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  • Qing Yuan

    (Zhengzhou College of Finance and Economics, China)

Abstract

Hotel supply chain management (SCM) refers to the material service that takes a hotel as the core object. At present, the main method is centralized SCM, which uses integer programming or mixed integer programming to establish and solve the allocation management of various resources among hotels in the supply chain. In this article, based on ant colony algorithm (ACA), the hotel SCM mode is studied and optimized. The research shows that the convergence path is A-S4-M3-L3-D1-R1-T. Therefore, the optimal partner combination meeting the requirements of the supply chain is S4, M3, L3, D1 and R1. The experiment shows that the max-min ACA is effective to solve the problem of partner selection in hotel supply chain. By using enterprise management technology, information technology, network technology and SCM technology under ACA, the effective rules and control of information flow, logistics, capital flow, business flow and value flow in the whole supply chain can be achieved, and the maximum benefit of the whole hotel supply chain can be realized.

Suggested Citation

  • Qing Yuan, 2023. "Research on Improvement of Hotel Supply Chain Resource Management Decision in the Era of Big Data," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 16(1), pages 1-16, January.
    • Handle: RePEc:igg:jisscm:v:16:y:2023:i:1:p:1-16
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISSCM.330643
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    References listed on IDEAS

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    1. Ziqi Wang & Peihan Wen, 2020. "Optimization of a Low-Carbon Two-Echelon Heterogeneous-Fleet Vehicle Routing for Cold Chain Logistics under Mixed Time Window," Sustainability, MDPI, vol. 12(5), pages 1-22, March.
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