Adaptive Modelling and Solution of Drone Logistic Service Composition in Cloud Supply Chain Considering Dynamic Condition

Name: Advances in heuristic signal processing and applications
ISBN: 9783642378805

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Farajzadeh, Fatemeh | 2019

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 52426 (01)
University: Sharif University of Technology
Department: Industrial Engineering
Advisor(s): Hoshmand, Mahmoud
Abstract:
globalization has let suppliers to geographically distribute across the globe, and for accomplishing the final product resources need to be gathered. So, Cloud manufacturing is a new paradigm which provides ubiquitous, convenient, on-demand network access to a shared pool of configurable manufacturing resources distributed across the globe. On the other hand, 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 research developed a mathematical formulation to investigate the optimum routing and allocation between various type of nodes in which these nodes are the resources shared in the cloud, including third-party logistics companies (3PL), warehouses, and consumers. And at the end, a detailed sensitivity analysis is performed on several drone-parameters of interest to confirm the importance of using drones in goods delivery
Keywords:
Cloud Service Sharing ; Parcel Delivery ; Logistic Service Sharing ; Vehicle Routing Problem

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