Electric Vehicle Routing With Flexible Time Windows: a Column Generation Solution Approach
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Date
2020
Authors
Taş, Duygu
Journal Title
Journal ISSN
Volume Title
Publisher
Taylor & Francis
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
In this paper, we introduce the Electric Vehicle Routing Problem with Flexible Time Windows (EVRPFTW) in which vehicles are allowed to serve customers before and after the earliest and latest time window bounds, respectively. The objective of this problem is to assign electric vehicles to feasible routes and make schedules with minimum total cost that includes the traveling costs, the costs of using electric vehicles and the penalty costs incurred for earliness and lateness. The proposed mathematical model is solved by a column generation procedure. To generate an integer solution, we solve an integer programming problem using the routes constructed by the column generation algorithm. We further develop a linear programming model to compute the optimal times to start service at each customer for the selected routes. A number of wellknown benchmark instances is solved by our solution procedure to evaluate the operational gains obtained by employing flexible time windows.
Description
ORCID
Keywords
Time windows, Electric vehicles, Routing, Column generation, Time Windows, Column Generation, Electric Vehicles, Routing
Fields of Science
0502 economics and business, 05 social sciences, 0211 other engineering and technologies, 02 engineering and technology
Citation
Taş, D. (January 10, 2020). Electric vehicle routing with flexible time windows: a column generation solution approach. Transportation Letters - The International Journal of Transportation Research, pp. 1-7, DOI: 10.1080/19427867.2020.1711581
WoS Q
Q2
Scopus Q
Q2

OpenCitations Citation Count
39
Source
Transportation Letters - The International Journal of Transportation Research
Volume
13
Issue
Start Page
1
End Page
7
PlumX Metrics
Citations
CrossRef : 28
Scopus : 37
Captures
Mendeley Readers : 34
SCOPUS™ Citations
40
checked on Mar 02, 2026
Web of Science™ Citations
43
checked on Mar 02, 2026
Page Views
199
checked on Mar 02, 2026
Downloads
38
checked on Mar 02, 2026
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