2023
DOI: 10.1016/j.ejor.2022.06.050
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Multi-depot electric vehicle scheduling in in-plant production logistics considering non-linear charging models

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Cited by 9 publications
(4 citation statements)
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“…In the case of t transporters and i tasks, there can exist a large number of possible scenarios t i , making multiple transporters scheduling a challenging NP-hard problem. To address this challenge, various researchers have employed different methods, such as branch-and-check (Diefenbach et al [ 46 ]; Li and Zhou [ 47 ]) and heuristic methods (Yin et al [ 48 ]; Sistig and Sauer [ 49 ]). Among these methods, GA has demonstrated good performance and robustness in scheduling problems (Xu et al [ 50 ]; Wu and Pang [ 51 ]; He et al [ 52 ]).…”
Section: Dt Based Scheduling Approachmentioning
confidence: 99%
“…In the case of t transporters and i tasks, there can exist a large number of possible scenarios t i , making multiple transporters scheduling a challenging NP-hard problem. To address this challenge, various researchers have employed different methods, such as branch-and-check (Diefenbach et al [ 46 ]; Li and Zhou [ 47 ]) and heuristic methods (Yin et al [ 48 ]; Sistig and Sauer [ 49 ]). Among these methods, GA has demonstrated good performance and robustness in scheduling problems (Xu et al [ 50 ]; Wu and Pang [ 51 ]; He et al [ 52 ]).…”
Section: Dt Based Scheduling Approachmentioning
confidence: 99%
“…Ouyang et al [11] proposed a novel postponement prioritized route optional approach, formulated two dynamic policies to manage temporal and spatial uncertainties, and evaluated the policies through simulation experiments on large-scale instances. Diefenbach et al [12] proposed a scheduling problem of electric vehicles in an in-plant logistics setting in which the actual battery charging function is considered and proposed an exact approach based on branch-and-check for minimizing the fleet size.…”
Section: Research On Logistics Vehicle Scheduling Problemmentioning
confidence: 99%
“…Equation (10) ensures that the number of trucks departing from the core hub is equal to the number of trucks returned. Equations ( 11) and (12) ensure that if truck k does not serve pickup node i, it will not depart from or arrive at node i. Equation (13) restricts that node i and node j can be served sequentially only if truck k serves both node i and node j.…”
Section: T I Amentioning
confidence: 99%
“…Diefenbach [34] tesis içi lojistikte belirli bir menzile sahip olan elektrikli taşıma araçları için şarj molalarının planlanabilmesi ve araç filosunun en aza indirilmesi amacıyla yeni bir araç çizelgeleme problemi sunmuşlardır. Zhao vd.…”
Section: Zaman Pencereli Araç Rotalama Problemiunclassified