2019
DOI: 10.1016/j.ejor.2018.11.020
|View full text |Cite
|
Sign up to set email alerts
|

Vehicle routing with arrival time diversification

Abstract: General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commer… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
35
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
4
3

Relationship

0
7

Authors

Journals

citations
Cited by 26 publications
(35 citation statements)
references
References 29 publications
0
35
0
Order By: Relevance
“…Zajac (2016) considers geographic dissimilarity explicitly by minimizing the intersection of the geographic units visited in different solutions. Michallet et al (2014), Hoogeboom and Dullaert (2019) and Soriano et al (2019) enforce temporal inconsistency by using time-window penalties when the arrival times of consecutive visits at the same customer do not differ by more than a given constant.…”
Section: Consistencymentioning
confidence: 99%
“…Zajac (2016) considers geographic dissimilarity explicitly by minimizing the intersection of the geographic units visited in different solutions. Michallet et al (2014), Hoogeboom and Dullaert (2019) and Soriano et al (2019) enforce temporal inconsistency by using time-window penalties when the arrival times of consecutive visits at the same customer do not differ by more than a given constant.…”
Section: Consistencymentioning
confidence: 99%
“…They formulated the problem as an integer multi-commodity network flow problem. To the best of our knowledge, there are two studies [1,2] that consider similar PVRP to our PVRP-TWTS. In the first study of Michallet et al [1], the PVRP with arrival time dissimilarity was modeled by differing the arrival time at each customer by at least a given time spread constant over the planning periods.…”
Section: Literature Reviewmentioning
confidence: 99%
“…They developed an iterated local search for the problem, where the infeasible solutions that violate the arrival time dissimilarity and the time window limitations are penalized with a time-dependent penalty function. Later, Hoogeboom and Dullaert [2] also studied a similar problem to the one of [1], where a specific time spread constant is defined for each customer. In [2], a rolling horizon approach is employed instead of using the periodic setting of [1].…”
Section: Literature Reviewmentioning
confidence: 99%
See 2 more Smart Citations