A vehicle routing problem with movement synchronization of drones, sidewalk robots, or foot-walkers

Deng, Puyuan; Amirjamshidi, Glareh; Roorda, Matthew J.

doi:10.1016/j.trpro.2020.03.160

Cited by 18 publications

(12 citation statements)

References 7 publications

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“…In the last few years, logistic and intralogistics tasks have increasingly been replaced by either drones or AGVs, promising a high potential for logistic tasks [5,6]. AGVs are unmanned transport vehicles substituting manned transport system like trucks or conveyors [7].…”

Section: Fundamentals 21 Automated Guided Vehicles (Agvs) In Productionmentioning

confidence: 99%

Techno-Economic Evaluation of 5G Technology for Automated Guided Vehicles in Production

et al. 2022

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The fifth generation of mobile communication (5G) is expected to bring immense benefits to automated guided vehicles by improving existing respectively enabling 5G-distinctive network control systems, leading to higher productivity and safety. However, only 1% of production companies have fully deployed 5G yet. Most companies currently lack an understanding of return on investment and of technical use-case benefits. Therefore, this paper analyses the influence of 5G on an automated guided vehicle use case based on a five-step evaluation model. The analysis is conducted with a use case in the Digital Experience Factory in Aachen. It shows a difference of net present value between 4G and 5G of 1.3 M€ after 10 years and a difference of return of investment of 66%. Furthermore, analysis shows an increase of mobility (13%), productivity (20%) and safety (136%). This indicates a noticeable improvement of a 5G-controlled automated guided vehicle compared to a 4G-controlled automated guided vehicle.

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Section: Fundamentals 21 Automated Guided Vehicles (Agvs) In Productionmentioning

confidence: 99%

Techno-Economic Evaluation of 5G Technology for Automated Guided Vehicles in Production

et al. 2022

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“…Wang and Sheu [30] developed a model for operational planning of ground vehicle-drone tandem delivery where the interchange of drones between GDVs is possible. Popović et al [31] analyzed a heterogeneous structure of GDVs where only certain vehicles are carrying a drone, while [32] proposed a cooperative delivery scheme through movement synchronization between delivery resources-drones and autonomous ground vehicles.…”

Section: Literature Reviewmentioning

confidence: 99%

Novel Spherical Fuzzy MARCOS Method for Assessment of Drone‐Based City Logistics Concepts

et al. 2021

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Technological innovations from the last few years, in the combination with city logistics (CL) initiatives, make the definition of novel, complex, sustainable CL solutions possible. Unmanned aerial vehicles (drones) as a technology attracted lots of attention in the literature. Various researches focused on different drone-based delivery approaches, but there are only a few articles dealing with drones as the elements of complex CL concepts. The goal of this paper is to evaluate different drone-based CL concepts. Based on the existing ideas of drone application in delivery, the main group of CL concepts and their variants are defined, which represents the main contribution of the article. The evaluation and ranking of concepts are performed from the aspect of all CL stakeholders and the defined set of criteria by applying measurement of alternatives and ranking according to compromise solution (MARCOS) multicriteria decision-making (MCDM) method in spherical fuzzy environment, which represents another contribution of the article. The results indicate that the potentially best CL concept, with the final score of 0.408, is the one that refers to the transformation of the logistics system into a two-echelon system with the implementation of micro-consolidation centers (MCCs), in which the delivery of goods to MCCs is realized with rail transportation mode and the last delivery phase with drones. It is followed by the concepts that imply MCCs, and rail transportation in the function of mobile depots for drone launching and MCCs and ground delivery vehicles (GDVs), with the final scores of 0.395 and 0.390, respectively.

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“…Therefore, meta-heuristics should be used to guide the process of searching for solutions and approximate a sufficient solution. The Genetic Algorithm (GA) was used most often to successfully solve VRPs in general [1,4,6,8,12,15]. Also, it was found that the GA was able to optimise problems similar to the one introduced earlier.…”

Section: Genetic Algorithmmentioning

confidence: 99%

Minimising Total Costs of a Two-Echelon Multi-Depot Capacitated Vehicle Routing Problem (2E-MD-CVRP) that Describes the Utilisation of the Amsterdam City Canal Network for Last Mile Parcel Delivery

Alewijnse

Hübl

2021

Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems

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An increase in e-shopping and (last mile) parcel deliveries has contributed to a rapid growth of urban freight transportation. This generates major impacts on city sustainability and liveability. Current solutions for urban logistics concern road traffic, but multiple Dutch cities have an extensive range of city canals that could be used for freight transportation over water. It was investigated how the city canal network of Amsterdam can be utilised for last mile parcel delivery, and what the related effects are. A MILP formulation of a Two-Echelon, Multi-Depot, Capacitated Vehicle Routing Problem (2E-MD-CVRP) was developed. The model describes a network in which ships transport parcels to predetermined satellite locations in the city centre, where the parcels are transferred to cargo e-bikes for the last mile of the delivery to the customer. The model was optimised by minimising the total costs, using the Genetic Algorithm (GA). The algorithm was able to find solutions but could not always stay within the constrained search space. Different possible network scenarios were evaluated, describing the consequences with respect to emissions, costs, and traffic flows. The results show promising economic, social, and environmental outcomes for a network with ships and cargo e-bikes instead of delivery vans. A daily and investment cost reduction of 16% and 36% respectively and a CO2 emission reduction of 78.26% can be realised.

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A vehicle routing problem with movement synchronization of drones, sidewalk robots, or foot-walkers

Cited by 18 publications

References 7 publications

Techno-Economic Evaluation of 5G Technology for Automated Guided Vehicles in Production

Techno-Economic Evaluation of 5G Technology for Automated Guided Vehicles in Production

Novel Spherical Fuzzy MARCOS Method for Assessment of Drone‐Based City Logistics Concepts

Minimising Total Costs of a Two-Echelon Multi-Depot Capacitated Vehicle Routing Problem (2E-MD-CVRP) that Describes the Utilisation of the Amsterdam City Canal Network for Last Mile Parcel Delivery

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