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.
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Jia et al. (2024) studied this question.
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