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- W3175106531 abstract "• Surge in express transportation demand after online shopping events is considered. • A new strategy to expand express network capacity is proposed to address overload. • First time that a two stage robust optimization model is developed in an SND problem. • The model addresses location, scheduling and routing decisions for network planners. In the periods following sales on online shopping carnivals, demand for express transportation is expected to precipitously surge within a short time, potentially causing express system overload and delivery delays. In this study, we address a service network design problem of a hub-and-spoke structured express transportation network during periods of surging demands. We consider a new strategy of upgrading existing spokes into temporary hubs to expand the network capacity with low costs. We propose a two-stage bi-objective robust model based on a time-space network to integrate the spoke-upgrading selection, service-scheduling, and vehicle-routing for designing an express service network that is both efficient and economic. To solve the model, we develop an enhanced column-and-constraint generation algorithm. Finally, a case study of a real express logistics company in China is demonstrated to validate the effectiveness of the proposed strategy and to offer decision support in real problems." @default.
- W3175106531 created "2021-07-05" @default.
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- W3175106531 date "2022-05-01" @default.
- W3175106531 modified "2023-10-16" @default.
- W3175106531 title "A two-stage robust model for express service network design with surging demand" @default.
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- W3175106531 doi "https://doi.org/10.1016/j.ejor.2021.06.031" @default.
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