A memetic algorithm for fleet size and mix vehicle routing problems with electric modular vehicles

Rezgui, Dhekra; Siala, Jouhaina Chaouachi; Bouziri, Hend

doi:10.1504/ijie.2019.101123

Cited by 1 publication

(2 citation statements)

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“…Different transportation modalities are taken into consideration in the literature for urban parcel delivery systems; some of these are UAVs [23], AVs such as delivery robots [24,25], and autonomous mobile lockers (AMLs) [26]. The use of public transport combines people and goods using the metro [27], bus, tram, subway [7], water bus [28], EMVs [9], cargo bikes [26,29,30], and finally, EVs [31].…”

Section: Transportation Modes In Urban Parcel Delivery Systemsmentioning

confidence: 99%

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Urban Logistics through River: A Two-Echelon Distribution Model

2023

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Studies that use rivers in a last-mile delivery context are scarce. This research considers the first multimodal alternative based on a barge for parcel delivery activities. It proposes two sustainable network designs for a two-echelon distribution. The efficiency of scenarios is assessed through performance indicators. A three-stage decomposition heuristic is used. Allocation of the customers to the closest satellite at the first stage uses a non-supervised machine learning clustering method, 2D-k-means. The last two stages, comprising the two echelons routing, are solved using a heuristic based on the nearest neighbor procedure. The fixed costs decrease by 41% and energy consumption by 92% when applying a river transportation mode and e-cargo bikes in the distribution network’s first and second echelon, respectively. Future research avenues are to render the results more realistic with the consideration of other costs and a larger network.

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Section: Transportation Modes In Urban Parcel Delivery Systemsmentioning

confidence: 99%

“…Transport systems obstruct themselves and other road users by the invasion of public space during pickup and delivery operations in urban areas. European urban freight transportation causes approximately 23% of carbon dioxide equivalent (CO 2 e) emissions [9] and between 30% to 50% of other pollutants in cities [10].…”

Section: Introductionmentioning

confidence: 99%