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http://hdl.handle.net/10397/89814
Title: | A two-stage heuristic approach for fleet management optimization under time-varying demand | Authors: | Zhang, L Gu, W Fu, L Mei, Y Hu, Y |
Issue Date: | Mar-2021 | Source: | Transportation research. Part E, Logistics and transportation review, Mar. 2021, v. 147, 102268 | Abstract: | An efficient two-stage heuristic approach is developed for solving the fleet management problem under time-varying demand. Stage 1 of the approach optimizes the vehicles’ utilization schedule. Continuous-time approximation is employed to yield a set of near-optimality conditions that can greatly reduce the solution space of this stage. Stage 2 then optimizes the vehicle purchase and retirement schedules. Numerical experiments showed that our approach outperformed a number of previous methods and commercial solvers by large margins in terms of solution quality, computational efficiency, or both. | Keywords: | Continuous-time approximation First-order condition Time-varying demand Two-stage optimization Vehicle fleet management |
Publisher: | Pergamon Press | Journal: | Transportation research. Part E, Logistics and transportation review | ISSN: | 1366-5545 | EISSN: | 1878-5794 | DOI: | 10.1016/j.tre.2021.102268 | Rights: | © 2021 Elsevier Ltd. All rights reserved. © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. The following publication Zhang, L., Gu, W., Fu, L., Mei, Y., & Hu, Y. (2021). A two-stage heuristic approach for fleet management optimization under time-varying demand. Transportation Research Part E: Logistics and Transportation Review, 147, 102268 is available at https://dx.doi.org/10.1016/j.tre.2021.102268. |
Appears in Collections: | Journal/Magazine Article |
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Zhang_Two-Stage_Heuristic_Approach.pdf | Pre-Published version | 1.6 MB | Adobe PDF | View/Open |
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