2018
DOI: 10.1007/s00291-018-0534-2
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The two-region multi-depot pickup and delivery problem

Abstract: Logistics networks are constantly evolving such that new and more varied structures arise and need to be studied. Carriers are aiming for opportunities to save costs by efficient planning. Motivated by this, we define the two-region multi-depot pickup and delivery problem. A region in this setting refers to an area where customers and depots are located. We differentiate two kinds of requests depending on whether their customers are located in the same region or not. Due to geographical characteristics, direct… Show more

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Cited by 16 publications
(11 citation statements)
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References 34 publications
(43 reference statements)
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“…MDLS, ECH, and EBSH need an underlying heuristic. For this, we use ALNS, which is a renowned metaheuristic that has been successfully applied to several planning problems (e.g., [17,34,39]) including a multi-graph in [4]. Furthermore, an ALNS is presented in [12], where it is used to generate benchmark results for several of the MCGRP instances.…”
Section: Literature Reviewmentioning
confidence: 99%
“…MDLS, ECH, and EBSH need an underlying heuristic. For this, we use ALNS, which is a renowned metaheuristic that has been successfully applied to several planning problems (e.g., [17,34,39]) including a multi-graph in [4]. Furthermore, an ALNS is presented in [12], where it is used to generate benchmark results for several of the MCGRP instances.…”
Section: Literature Reviewmentioning
confidence: 99%
“…No solution method is provided. Soriano et al [44] solve a two-region LTL multi-depot pickup and delivery problem. However, long-haul schedules and capacity limits for the main-haul, multi-day truck scheduling and heterogeneous vehicles are not considered.…”
Section: Research Opportunitiesmentioning
confidence: 99%
“…No solution method is provided. Soriano et al (2018) solve a two-region LTL multi-depot pickup and delivery problem. However, long-haul schedules and capacity limits for the main-haul, multi-day truck scheduling and heterogeneous vehicles are not considered.…”
Section: Research Opportunitiesmentioning
confidence: 99%