Optimization of Vehicle-Carrier Routing: Mathematical Model and Comparison with Related Routing Models

Jeong, Ho Young; Lee, Seokcheon

doi:10.1016/j.promfg.2020.01.337

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…Other works consider that the truck can stop at so‐called anchor points from which one or more drones are launched once or multiple times to serve customers, also in parallel with the truck; see, for example, Peng et al [62], Hu et al [35], Moshref‐Javadi et al [56], Salama and Srinivas [73], and Chang and Lee [14]. Multiple visits along the same drone route are considered in Karak and Abdelghany [41], Luo et al [50], Jeong and Lee [37], Poikonen and Golden [64], and Hu et al [35].…”

Section: Literature Reviewmentioning

confidence: 99%

Last‐mile delivery with drone and lockers

Boschetti,

Novellani

2023

Networks

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In this article, we define a new routing problem that arises in the last‐mile delivery of parcels, in which customers can be served either directly at home by a capacitated truck, or possibly with a drone carried on the truck, or in a self‐service mode using one of the available lockers. We investigate four different formulations, and for one of them, we propose a branch‐and‐cut approach. We also discuss some possible variants of the original problem. In the computational experiments, we analyze and compare the performance of the four formulations for the problem and its variants, and we provide some useful managerial insights.

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Section: Literature Reviewmentioning

confidence: 99%

Last‐mile delivery with drone and lockers

Boschetti,

Novellani

2023

Networks

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“…The unmanned aerial vehicle (UAV) is an essential component utilized across various business sectors and its assembly involves assembling laser technology that ensures reliability and high value (Bakir et al, 2020). Identifying potential hazards through drone monitoring systems aids in preventing hazardous situations (Jeong et al, 2019). The use of portal monitoring systems and safety standards within their respective regions are imperative to ensure safety.…”

Section: Recommendation or Implementationmentioning

confidence: 99%

Last mile delivery Optimisation model for drone-enabled Vehicle Routing Problem

Tausif

2023

Emerg. Minds J for Stu. Res.

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In light of e-commerce's exponential growth trajectory over recent years, it has never been more critical to evaluate the last-mile delivery segment for its efficiency and cost-effectiveness. Autonomous vehicles (drones) offer considerable promise as potential solutions with ongoing investigations into emerging technologies in this context. To address problems related to last mile-delivery in logistics operations, the practicality of adopting a hybrid truck-drone delivery system is examined through this study. The researchers utilized Mixed-integer linear programming (MILP)and Gurobi optimization solvers both for optimizing performance as well as facilitating execution. While testing a drone dataset of a well-known logistics company as part of their research using an optimization model, the findings suggested that were remarkable competitive advantages including significant gains in reduction of timing. Nevertheless, there are several constraints like maintenance, recharging, difficult weather conditions & traffic congestion-necessitating focused innovative AI-based approaches. In spite of these impediments, a hybrid truck-drone’s potential applicability can remarkably boost the efficiency of last-mile delivery operations.

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“…Several articles have examined distribution systems with mobile hubs that combine small vehicles to solve urban challenges. The small vehicles are electric cargo bikes [10,12,29], cargo tricycles [11], drones [31][32][33], and low-capacity trucks (LCTs) integrated with the IoT [30].…”

Section: Introductionmentioning

confidence: 99%

“…Appendix A provides a research overview on modeling a 2E-VRP distribution system using a mobile access hub (MAH). Some researchers have proposed the use of city freighters in the form of electric cargo tricycles [10][11][12]29,34] and drones [31,32,35]. In developing countries, where the electric vehicle ecosystem has not been formed properly, it is necessary to supplement city freight with non-electric small vehicles.…”

Section: Introductionmentioning

confidence: 99%

E-Commerce Parcel Distribution in Urban Areas with Sustainable Performance Indicators

et al. 2022

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E-commerce transactions have increased during the pandemic as people living in urban areas turn to buy goods online rather than offline. A two-echelon distribution system using parcel mobile hubs (PMHs) with small vehicles can increase operational cost efficiency and reduce greenhouse gas emissions. The originality of this study is in building and testing a conceptual framework for selecting PMH locations with three variables (parcel distribution, internet quota for e-commerce, and center of e-buyer) and two constraints (space availability and traffic flow). Spatial analysis is used as a method to test the conceptual framework with a parcel distribution database from Bandung. As a city whose profile represents urban areas in developing countries well, Bandung is chosen as a case study. The proportion of distance to variables and the outermost point of each cluster is less than 10%, which proves that the three variables are correlated. This study proves that the selection of PMH locations based on this conceptual framework results in better sustainable performance compared to existing conditions. Using PMHs combined with city freighters can reduce operational costs by 19.7% and prevent 3.4 tons of CO2 emissions per year with conventional motorcycles and 7.2 tons of CO2 emissions per year with electric motorcycles or scooters.

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Optimization of Vehicle-Carrier Routing: Mathematical Model and Comparison with Related Routing Models

Cited by 6 publications

References 6 publications

Last‐mile delivery with drone and lockers

Last‐mile delivery with drone and lockers

Last mile delivery Optimisation model for drone-enabled Vehicle Routing Problem

E-Commerce Parcel Distribution in Urban Areas with Sustainable Performance Indicators

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