@inproceedings{2481e8e7b5804e148cfc7fad9569b677,
title = "Electric-vehicle routing problem with time windows and energy minimization: green logistics with same-day delivery approaches",
abstract = "Electric Vehicle (EV)-based last-mile delivery has been studied in recent years due to its theoretical and practical importance. EVs are known for their eco-friendliness and no air pollution in Green Logistics. However, there is no work on integrating the energy consumption and same-day delivery approaches with Electric-Vehicle Routing Problem with Time Windows (EVRP- TW). The influence of payload weights on the EVs energy consumption is considerable and should be considered when planning routes. This work presents the Prize-Collecting EVRP- TW with Energy Minimization (PC-EVRP- TW-EM), finding the optimal routes of EV s to visit the customers with prime membership (same-day service) and consume less battery energy. A mixed-integer program models the PC-EVRP- TW-EM. The results show the efficiency of the proposed approach, reducing the energy consumption and usage cost of EVs by an average of 32.97\% and 29.17\%, respectively.",
keywords = "Electric vehicle, energy min-imization, last-mile delivery, mixed integer programming, same-day delivery",
author = "Nima Moradi and Vahid Kayvanfar and Roberto Baldacci",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 4th IEEE International Conference on Electrical, Computer, and Energy Technologies, ICECET 2024 ; Conference date: 25-07-2024 Through 27-07-2024",
year = "2024",
month = jul,
day = "27",
doi = "10.1109/ICECET61485.2024.10698631",
language = "English",
series = "International Conference on Electrical, Computer, and Energy Technologies, ICECET 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "International Conference on Electrical, Computer, and Energy Technologies, ICECET 2024",
address = "United States",
}