Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022;55(10):1080-1085.
doi: 10.1016/j.ifacol.2022.09.533. Epub 2022 Oct 26.

Optimizing the supply of essential goods under closed-off management: A case study of COVID-19

Song Zihao  1 , Shou Juping  1 , Luo Chunling  1
Affiliations

Optimizing the supply of essential goods under closed-off management: A case study of COVID-19

Song Zihao et al. IFAC Pap OnLine. 2022.

Abstract

The COVID-19 pandemic is threatening people's health and economic development around the world. Many areas and cities are opting for actions such as lockdown or closed-off management to prevent rapid spread of the virus. Under these actions, it is necessary and important to guarantee the supply of essential goods. In this paper, we develop a multi-objective optimization model to optimize the supply of essential goods under closed-off management. A mixed binary integer programming model is built to help identify the optimal safety stock level as well as the supply network so that the demands for essential goods could be guaranteed. The effectiveness of our method is demonstrated by an example. We also perform sensitivity analysis for key parameters. Our work provides a reasonable solution for the supply of essential goods under closed-off management.

Keywords: COVID-19; closed-of management; essential goods; mixed binary integer linear programming.

PubMed Disclaimer

References

    1. Corominas A. A model for designing a procurement-inventory system as a defence against a recurring epidemic. International Journal of Production Research. 2021:1–14.
    1. Jiang P., Wang Y., Liu C., Hu Y.C., Xie J. Evaluating critical factors influencing the reliability of emergency logistics systems using multiple-attribute decision making. Symmetry. 2020;12(7):1115.
    1. Liu D., Ji S. Research on efficient online planning of emergency logistics path based on double-layer ant colony optimization algorithm. International Journal of Computers and Applications. 2019;41(5):400–406.
    1. Luo C., Shen L., Xu A. Modelling and estimation of system reliability under dynamic operating environments and lifetime ordering constraints. Reliability Engineering & System Safety. 2022;218
    1. Mehlawat M.K., Gupta P., Khaitan A. Multiobjective fuzzy vehicle routing using twitter data: Reimagining the delivery of essential goods. International Journal of Intelligent Systems. 2021;36(7):3566–3595.

LinkOut - more resources