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Mohammad Moshref-Javadi

Researcher at Northeastern University

Publications -  14
Citations -  650

Mohammad Moshref-Javadi is an academic researcher from Northeastern University. The author has contributed to research in topics: Drone & Computer science. The author has an hindex of 8, co-authored 11 publications receiving 273 citations. Previous affiliations of Mohammad Moshref-Javadi include Auburn University & Purdue University.

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Multiple traveling salesman problem with drones: Mathematical model and heuristic approach

TL;DR: A mixed integer programming (MIP) formulation is presented that captures the delivery concept of a truck-drone combination along with the idea of allowing autonomous drones to fly from delivery trucks, make deliveries, and fly to any available delivery truck nearby.
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Applications and Research avenues for drone-based models in logistics: A classification and review

TL;DR: A structured, comprehensive, and scalable framework for classifying drone-based delivery systems and their associated routing problems along with a comprehensive review and synthesis of the extant academic literature in this domain are presented.
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A truck and drones model for last-mile delivery: A mathematical model and heuristic approach

TL;DR: A mathematical formulation and a heuristic solution approach for the optimal planning of delivery routes in a multi-modal system combining truck and Unmanned Aerial Vehicle (UAV) operations and suggests significant reductions in customer waiting time to be gained from the proposed multi- modal delivery model.
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Design and evaluation of a multi-trip delivery model with truck and drones

TL;DR: The results of evaluations on several problem instances suggest that the TRP system can yield considerable reductions in customer waiting time for a wide range of model parameters compared to the conventional delivery models.
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An integrated routing and scheduling model for evacuation and commodity distribution in large-scale disaster relief operations: a case study

TL;DR: An integrated evacuation and distribution logistic system to obtain simultaneous routing and scheduling of vehicles to evacuate people from affected areas to shelters and provide them with necessary relief commodities and is used to solve a case study in Tehran, the capital of Iran.