Please use this identifier to cite or link to this item: https://doi.org/10.1109/ACCESS.2020.2978180
Title: Designing a Flexible Catering System for High-Speed Railway Considering Departure Time Selection and Time Deadline Constraints
Authors: Jiang, Y.
Wu, X.
Chen, Y. 
Keywords: Departure time selection
Rail catering service
Routing model
Time window
Issue Date: 2020
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Jiang, Y., Wu, X., Chen, Y. (2020). Designing a Flexible Catering System for High-Speed Railway Considering Departure Time Selection and Time Deadline Constraints. IEEE Access 8 : 44300-44317. ScholarBank@NUS Repository. https://doi.org/10.1109/ACCESS.2020.2978180
Abstract: A new catering mode is introduced into an existing catering service system for high-speed railways. This flexible catering system for high-speed railways aims to make order allocation decisions and service sequencing decisions under tight time constraints. A departure time and route selection model is established to coordinate the delivery times of the orders with the departure times of the trains to mitigate conflicts between the delivery cost and service level. Sequential constraints are reformulated as soft constraints, and an analytical algorithm is designed to solve for the optimal catering vehicle departure time for a given path. The problem is already complex due to its similarity to the vehicle routing problem with time windows (VRPTW). In particular, the route-dependent lead time and constraint-dependent departure time selection make the problem more complex. Therefore, a simulated annealing algorithm based on a variable neighborhood search (VNS-SA) is employed to solve the model. Finally, a random road network experiment is performed to verify the model and algorithm, and the algorithm's performance and computational efficiency with different combinations of subalgorithms are compared and analyzed. © 2013 IEEE.
Source Title: IEEE Access
URI: https://scholarbank.nus.edu.sg/handle/10635/197855
ISSN: 21693536
DOI: 10.1109/ACCESS.2020.2978180
Appears in Collections:Elements
Staff Publications

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10_1109_ACCESS_2020_2978180.pdf6.5 MBAdobe PDF

OPEN

NoneView/Download

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.