Опубликована: Июль 26, 2024
Язык: Английский
World Electric Vehicle Journal, Год журнала: 2024, Номер 15(8), С. 375 - 375
Опубликована: Авг. 18, 2024
This comprehensive systematic review explores the multifaceted impacts of electric vehicle (EV) adoption across technological, environmental, organizational, and policy dimensions. Drawing from 88 peer-reviewed articles, study addresses a critical gap in existing literature, which often isolates impact EV without considering holistic effects. Technological advancements include innovations battery technology energy storage systems, enhancing performance mitigating range anxiety. The environmental analysis reveals substantial reductions greenhouse gas emissions, with lifecycle assessments showing significant for EVs compared to internal combustion engine vehicles, particularly when charged renewable sources. Key comparisons emissions between mid-size vehicles (BEVs) (ICEVs), global average by powertrain under various scenarios. organizational implications are evident, as businesses adopt new models fleet management logistics, leveraging operational efficiency sustainability. Policy underscores crucial role government incentives, regulatory measures, infrastructure investments accelerating adoption. identifies future research areas such efficient recycling methods, potential on grid stability, long-term economic implications. offers insights stakeholders aiming foster sustainable transportation achieve climate goals.
Язык: Английский
Процитировано
23
Journal of Energy Storage, Год журнала: 2024, Номер 86, С. 111258 - 111258
Опубликована: Март 25, 2024
Язык: Английский
Процитировано
21
Operations Research Perspectives, Год журнала: 2024, Номер 12, С. 100303 - 100303
Опубликована: Апрель 28, 2024
The green vehicle routing problem (GVRP) has been a prominent topic in the literature on logistics and transportation, leading to extensive research previous review studies covering various aspects. Operations seen development of exact approximation approaches for different extensions GVRP. This paper presents an up-to-date thorough GVRP spanning from 2016 2023, encompassing 458 papers. significant contribution lies updated solution algorithms applied both single-objective multi-objective Notably, 92.58% papers introduced mathematical model GVRP, with many researchers adopting mixed integer linear programming as preferred modeling approach. findings indicate that metaheuristics hybrid are most employed addressing Among approaches, combination metaheuristics-metaheuristics is particularly favored by researchers. Furthermore, large neighborhood search (LNS) its variants (especially adaptive search) emerges widely adopted algorithm These proposed within metaheuristic where A-/LNS often combined other algorithms. Conversely, predominant NSGA-II being frequently algorithm. Researchers utilize GAMS CPLEX optimization software solvers. MATLAB commonly language implementing
Язык: Английский
Процитировано
11
Applied Artificial Intelligence, Год журнала: 2024, Номер 38(1)
Опубликована: Март 27, 2024
This paper presents a model and heuristic solution algorithms for the Green Vehicle Routing Problem with Flexible Time Windows. A scenario of new vehicle routing is analyzed in which customers are asked to provide alternative time windows offer flexibility help route planners find more fuel-efficient routes ("green delivery"). Customers can rank their preferred as first, second, third. The optimization aims reduce tour costs, promote electromobility over fossil fuels, such diesel, meet customer preferences when possible affordable. study incorporates multi-objective three objectives, overall cost, use fuel, satisfaction. For problem, set realistic benchmark problems created four mainstream solvers applied Pareto front approximation: NSGA-II, NSGA-III, MOEA/D, SMS-EMOA. These compared terms effectiveness achieving objectives minimizing travel promoting electromobility, meeting preferences. uses five different single-vehicle planning. Two major findings that selection metaheuristic make big difference algorithm performance. resulting 3-D fronts reveal nature this class problems: Interestingly, flexible windows, most users still be delivered only small concessions other objectives. However, using one window per user lead an increasingly drastic cost fuel consumption.
Язык: Английский
Процитировано
10
Algorithms, Год журнала: 2025, Номер 18(1), С. 38 - 38
Опубликована: Янв. 10, 2025
Sustainable logistics aims to balance economic efficiency, environmental responsibility, and social well-being in supply chain operations. This study explores the use of Variable Neighborhood Search (VNS), a metaheuristic optimization method, addressing sustainable challenges provides insights into potential it has support them by delivering efficient solutions that align with global sustainability goals. The review identifies key trends, including significant increase research since 2019, strong focus on routing, scheduling, location problems. Hybrid approaches, combining VNS other methods, multiobjective address trade-offs between goals are prominent. most frequently applied versions closely those commonly used broader literature, reflecting similar adoption proportions. In recent years, noticeable studies incorporating adaptation mechanisms frameworks emerged. trend is largely driven growing influence Artificial Intelligence approaches across numerous fields science engineering, highlighting need for more dynamic intelligent techniques. However, important gaps remain. These include limited consideration uncertainty systems, underrepresentation sustainability, lack standardized benchmarks comparing results. Future work should these explore emerging applications.
Язык: Английский
Процитировано
1
Computers & Industrial Engineering, Год журнала: 2025, Номер 201, С. 110932 - 110932
Опубликована: Янв. 31, 2025
Язык: Английский
Процитировано
1
PLoS ONE, Год журнала: 2025, Номер 20(2), С. e0318765 - e0318765
Опубликована: Фев. 13, 2025
The expansion of cold chain logistics necessitates a substantial fleet fuel-refrigerated trucks, which presents environmental challenges. Electric vehicles (EVs) offer an environmentally friendly solution for low-carbon development despite the issue range anxiety. Diverging from conventional two-echelon distribution structure, this paper explores alternative recharging strategies and introduces innovative scheme: employing fuel in suburban areas EVs urban central zones. presented model optimizes economic considerations to mitigate air pollution reduce dependence on non-renewable energy sources while providing feasible routes. This study proposes allocation algorithm enhanced ant colony address single-objective vehicle routing problem with mixed (2EVRPMF). outperforms terms both cost carbon emissions based numerical experiments. Additionally, investigates influence battery capacity rate under various recharge strategies, including their correlation costs. findings can provide valuable insights decision-making implementing environmentally-friendly within industry.
Язык: Английский
Процитировано
1
Scientific Reports, Год журнала: 2024, Номер 14(1)
Опубликована: Май 11, 2024
Abstract Logistics distribution is one of the main sources carbon dioxide emissions at present, and there are also such problems in shipbuilding process. With increasing attention paid to environmental problems, how effectively reduce energy consumption block transportation improve utilization rate resources factory key problem that China’s industry needs solve present. This article considers time windows for tasks, as well self-loading constraints different types flat cars, establishes an optimization model minimizes empty transport cars objective. Then, Improved Genetic Whale Optimization Algorithm designed, which combines cross mutation ideas genetic algorithms proposes a whale individual position updating mechanism under mixed strategy. Furthermore, performance computational efficiency algorithm verified through comparative analysis with other classical on standard test examples. Finally, shipyard’s example proves energy-saving ship scheduling method can enterprise’s It engineering practicality green dispatching proposed this paper, further provide decision-making shipyard managers.
Язык: Английский
Процитировано
6
Complex & Intelligent Systems, Год журнала: 2025, Номер 11(2)
Опубликована: Янв. 20, 2025
Язык: Английский
Процитировано
0
Sustainability, Год журнала: 2025, Номер 17(3), С. 1144 - 1144
Опубликована: Янв. 30, 2025
This study develops a Green Vehicle Routing Problem (GVRP) model to address key logistics challenges, including time windows, simultaneous pickup and delivery, heterogeneous vehicle fleets, multiple trip allocations. The incorporates emissions-related costs, such as carbon taxes, encourage sustainable supply chain operations. Emissions are calculated based on the total shipment weight travel distance of each vehicle. objective is minimize operational costs while balancing economic efficiency environmental sustainability. A Genetic Algorithm (GA) applied optimize routing allocation, enhancing reducing costs. Liquid Petroleum Gas (LPG) distribution case in Yogyakarta, Indonesia, validates model’s effectiveness. results show significant cost savings compared current route planning methods, alongside slight increase carbon. sensitivity analysis was conducted by testing with varying numbers stations, revealing its robustness impact station density solution quality. By integrating taxes detailed emission calculations into function, GVRP offers practical for real-world challenges. provides valuable insights achieving cost-effective operations advancing green practices.
Язык: Английский
Процитировано
0