Green Vehicle Routing and Scheduling Problem with Split Delivery
References (13)
- et al.
The pollution-routing problem
Transportation Research Part B: Methodological
(2011) - et al.
The bi-objective pollution-routing problem
European Journal of Operational Research
(2014) - et al.
A review of recent research on green road freight transportation
European Journal of Operational Research
(2014) - et al.
The time-dependent pollution-routing problem
Transportation Research Part B: Methodological
(2013) - et al.
Survey of Green Vehicle Routing Problem: Past and future trends
Expert Systems with Applications
(2014) - et al.
A simulating annealing algorithm to solve the green vehicle routing & scheduling problem with hierarchical objectives and weighted tardiness
Applied Soft Computing
(2015)
Cited by (21)
Multi-objective optimization for scheduling multi-load automated guided vehicles with consideration of energy consumption
2024, Transportation Research Part C: Emerging TechnologiesA variable neighborhood search for the green vehicle routing problem with two-dimensional loading constraints and split delivery
2024, European Journal of Operational ResearchAn exact approach for the green vehicle routing problem with two-dimensional loading constraints and split delivery
2021, Computers and Operations ResearchCitation Excerpt :They estimated the CO2 emission basing on the total weight transported on each arc. Matos et al. (2018) studied the Green Vehicle Routing and Scheduling Problem. The problem aims to plan minimum cost routes, given a heterogeneous fleet of vehicles and traffic aspects that vary according to the time (for example, congestion) to obtain the best reduction in CO2 emissions.
Evaluating the role of commercial parking bays for urban stakeholders on last-mile deliveries – A consideration of various sustainability aspects
2021, Journal of Cleaner ProductionCitation Excerpt :It includes all components of actual driving, such as average driving speeds (inner and outer city), vehicle types (including load), and more. In contrast to the study of Simoni et al. (2019), we do not consider the above-mentioned speed factors or dynamic loads as proposed by Matos et al. (2018) in the emissions calculation, similar to the work of Chen et al. (2020). The use of speed factors for emissions would make a comparison with practice partner data unclean – due to the aligned emissions model.
Green vehicle routing and scheduling problem with heterogeneous fleet including reverse logistics in the form of collecting returned goods
2020, Applied Soft Computing JournalCitation Excerpt :They developed a Simulated Annealing algorithm for solving the proposed model [29]. Finally, Matos et al. presented a mathematical formulation and a hybrid algorithm that combines the meta-heuristic Iterated Local Search (ILS), the Random Variable Neighborhood Descent (RVND) procedure and an exact Set Covering model to deal with GVRSP aiming to minimize carbon dioxide emissions [30]. Since collecting returned goods (such as defective, damaged, expired, etc.) makes it possible to recycle and send them back into consumption cycle or destroy them with the least environmental pollutions, it is an effective way of contributing to environmental protection and at the same time obtaining economic benefits.
Innovative approaches to design and address green supply chain network with simultaneous pick-up and split delivery
2020, Journal of Cleaner ProductionCitation Excerpt :In order to split the customer’s demand, backpack and adaptive Tabu Search (TS) was suggested. Nowadays, environmental issues were the main focus of researchers (Matos et al., 2018). offered a planning to utilize the best out of fleet vehicles.