A Novel Mathematical Model for a Cloud-Based Drone Enabled Vehicle Routing Problem considering Multi-Echelon Supply Chain

“…Mixing Multiple Depot and Support Stations, Farajzadeh et al (2020) [18] consider a scenario in which depots are third-party logistic providers, that provision drones and delivery products are provided by facilities. Drones depart from their depot, pick up parcels at facilities and serve customers before going back to the base depot.…”

Section: Multiple Drones Multiple Deliveriesmentioning

confidence: 99%

Drone-Based Delivery Systems: A Survey on Route Planning

Attenni,

Arrigoni,

Bartolini

et al. 2023

IEEE Access

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The ever-increasing demand for urban delivery services significantly exacerbates the traffic conditions on our already overly congested urban streets. The problem is even worsened by the dearth of appropriate parking facilities available for efficient offloading operations. As a result, there has been a surge of interest in exploring eco-friendly alternatives to traditional truck-based logistics. Drone technology has significant potential to enable widespread home delivery services and reduce the reliance on trucks within urban areas. Both the academy and the industry have shown interest in developing swiftly deployable and cost-effective delivery systems that rely on drones. This work provides a comprehensive review of the current state of Drone-based Delivery Systems. It explores the latest advancements, methodologies, and employed techniques with a specific emphasis on optimizing task scheduling and designing efficient routes for drone deliveries. It critically analyzes the advantages and drawbacks of existing solutions, contributing a thorough classification based on crucial system features, such as fleet composition, degree of device cooperation, and underlying infrastructure.

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“…From the environmental aspect, some researchers focused on deploying carbon-free emerging technologies such as drones for their last-mile delivery operations in routing problems (Farajzadeh et al, 2020 ; Moadab et al, 2022 ). Waste management has been a pressing issue for developing nations as it involves environmental and economic aspects which must be propounded, simultaneously (Thakur et al, 2021 ), (Argoubi et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

A multi-objective location-routing model for dental waste considering environmental factors

et al. 2022

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Nowadays, the amounts of infectious medical waste (IMW) have surged considerably so waste management has become a critical emergency in many developing countries. However, most large medical waste generation centers (MWGC) are equipped with treatment facilities, small MWGC faces the waste management problem. It reveals the significance of having a proper program for small health centers. This is an indisputable difficulty that governments bordered because it imposes great costs on societies, also the environmental problems caused by improper treatment are irreparable. To attend to all the essential aspects of the problem, this paper recommended a location-routing model with four objective functions to minimize the total costs, environmental pollution, the risk imposed on the population around disposal sites, and the total violation from the expected arrival time. Considering a multi-period problem with a maximum acceptable delay plays a key role to connect the assumptions to the real-world problem. In addition, for solving mathematical models based on case studies, the role of uncertainty is undeniable. The demand for dental waste treatment is not definite and is changed based on the different conditions thus fuzzy chance-constrained programming is proposed for this problem to tackle the uncertainty. The revised multi-choice goal programming method is considered to solve the model and a real case study for dental clinics in Babol city of Iran is investigated to illustrate the validation of the proposed model. The results indicate that the solution method can create a balance between four objective functions. Finally, sensitivity analyses are performed for some parameters to analyze the behavior of the objective functions.

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A Novel Mathematical Model for a Cloud-Based Drone Enabled Vehicle Routing Problem considering Multi-Echelon Supply Chain

Cited by 13 publications

References 12 publications

Designing a sustainable-resilient-responsive supply chain network considering uncertainty in the COVID-19 era

Designing a sustainable-resilient-responsive supply chain network considering uncertainty in the COVID-19 era

Drone-Based Delivery Systems: A Survey on Route Planning

A multi-objective location-routing model for dental waste considering environmental factors

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