Optimization of front warehouse location routing problem with multiple delivery modes

Jia Qian; Nannan Yan

doi:10.1117/12.3039958

28 August 2024 Optimization of front warehouse location routing problem with multiple delivery modes

Jia Qian, Nannan Yan

Author Affiliations +

Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 132513V (2024) https://doi.org/10.1117/12.3039958
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China

Abstract

To enhance customer experience and reduce operational costs, this study focuses on optimizing the location routing for fresh food front warehouses with diverse delivery modes. The integrated store-warehouse model incorporates two delivery modes: home delivery and self-pickup. With the objective of minimizing the total cost under the constraints such as with time window and on-board constraints, a model of the location- routing problem considering multiple delivery modes is developed and an adaptive genetic algorithm is designed to solve it. The model and algorithm's effectiveness are validated through case studies, revealing that diverse delivery services in front warehouse networks effectively cut costs and boost customer satisfaction.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jia Qian and Nannan Yan "Optimization of front warehouse location routing problem with multiple delivery modes", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 132513V (28 August 2024); https://doi.org/10.1117/12.3039958

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