A5030180933- Vehicle Routing Optimization Methods
- Transportation and Mobility Innovations
- Urban and Freight Transport Logistics
- Optimization and Packing Problems
- Sustainable Supply Chain Management
- Water resources management and optimization
- Recycling and Waste Management Techniques
- Transportation Planning and Optimization
- Smart Parking Systems Research
- Water-Energy-Food Nexus Studies
- Electric Vehicles and Infrastructure
- Electric Power System Optimization
Universidade Estadual de Campinas (UNICAMP)
2006-2023
Hospital de Clínicas da Unicamp
2020
Albert Einstein College of Medicine
2019
This paper is concerned with the performance of stochastic dynamic programming for long term hydrothermal scheduling. Different streamflow models progressively more complex have been considered in order to identify benefits increasing sophistication modeling on programming. The first and simplest model considers inflows given by their average values; second represents independent probability distribution functions; third adopts a Markov chain based lag-one periodical auto-regressive model....
This work aims to investigate the Green Vehicle Routing Problem (G-VRP), which is an NP-Hard problem that generalizes (VRP) and integrates it with green logistics. In G-VRP, electric vehicles limited autonomy can be recharged at Alternative Fuel Stations (AFSs) keep visiting customers. research proposes MILP formulations, valid inequalities, preprocessing conditions.
This paper proposes a new problem based on the classic Vehicle Routing Problem (VRP).The is called Electric Capacitated Covering Tour (ECCTP) and model situation where customers can be serviced remotely by covering only electric vehicles are employed.The ECCTP integrates two research areas: problems green logistics.The modeled Mixed Integer Linear Program (MILP) solved constructive heuristic.A set of benchmark instances proposed computational experiments were conducted.
This work provides a theoretical study of the Green Vehicle Routing Problem (G-VRP), which is an NP-hard problem that generalizes (VRP) and integrates it with green logistics. In G-VRP, electric vehicles limited autonomy can recharge at Alternative Fuel Stations (AFSs) to keep visiting customers. was introduced by [3] approached later [4], [5], all consider consecutive AFSs visits are not allowed, i.e., solution cannot have edge between two AFSs. this work, G-VRP versions investigated, (i)...