A Novel Mathematical Model for a Cloud-Based Drone Enabled Vehicle Routing Problem considering Multi-Echelon Supply Chain
Fatemeh Farajzadeh, Amirhossein Moadab, Omid Fatahi Valilai, Mahmoud Houshmand
Abstract
In recent years, the product delivery system has faced a significant amount of changes with reducing cost and waiting time of last-mile delivery. Unmanned aerial vehicles, or drones, have the potential to deal with these issues effectively. This paper developed a novel mathematical formulation to investigate the optimum routing between various types of nodes in a multi-echelon supply chain, including third-party logistics companies (3PL), warehouses, and consumers. A conceptual model is represented in the paper to comprehend the readers better, and eventually, the novelty of the developed model is discussed further by explaining the concept of solving.
Topics & Concepts
DroneSupply chainComputer scienceNoveltyVehicle routing problemCloud computingOperations researchProduct (mathematics)Routing (electronic design automation)Stackelberg competitionConceptual modelIndustrial engineeringBusinessEngineeringComputer networkEconomicsMarketingMathematicsMathematical economicsGeometryBiologyGeneticsPhilosophyDatabaseOperating systemTheologyVehicle Routing Optimization MethodsUAV Applications and OptimizationFacility Location and Emergency Management