Study on emergency logistics location-route problem under uncertain demand

Qirong Li

doi:10.1117/12.2679063

8 May 2023 Study on emergency logistics location-route problem under uncertain demand

Qirong Li

Proceedings Volume 12635, Second International Conference on Algorithms, Microchips, and Network Applications (AMNA 2023); 126350K (2023) https://doi.org/10.1117/12.2679063
Event: International Conference on Algorithms, Microchips, and Network Applications 2023, 2023, Zhengzhou, China

Abstract

Based on the uncertain characteristics of emergency material demand, this paper uses interval number to represent the uncertainty of emergency material demand and considers the two objectives of rescue cost and time to establish an optimization model of emergency logistics facility location and route. The interval constraint theory is used to transform the interval uncertainty into the definite number, and the multi-objective is transformed into a single objective by the non-dimensional linear weighting method. The genetic algorithm is designed to solve the model, and the effectiveness of the model and algorithm is demonstrated by a practical example.

Citation Download Citation

Qirong Li "Study on emergency logistics location-route problem under uncertain demand", Proc. SPIE 12635, Second International Conference on Algorithms, Microchips, and Network Applications (AMNA 2023), 126350K (8 May 2023); https://doi.org/10.1117/12.2679063

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