As energy overuse and generated pollution have a potential threat to our environmental and
ecological conditions, many researchers have taken the initiative way to join the green …

Due to the complexity and the magnitude of optimisation models that appeared in
sustainable supply chain management (SSCM), the use of meta-heuristic algorithms as …

Traffic congestion is a major concern in urban transportation in supply chain management.
Road-based logistic companies can mitigate their Carbon dioxide (CO2) emissions …

Traveling salesman and vehicle routing problems with their variants, as classic
combinatorial optimization problems, have attracted considerable attention for decades of …

Due to the diversity and the different distribution conditions of agricultural products, split
delivery plays an important role in the last mile distribution of agricultural products …

To meet the demands of green logistics while considering the time-dependent effects
caused by traffic congestion, we establish a time-dependent green vehicle routing problem …

In this study, we investigate a routing problem in urban transportation which considers time-
dependent travel time, multiple trips per vehicle, and loading time at the depot …

Low-carbon economy is the new tendency of economy development, which is an emerging
pathway toward sustainable development of cold chain logistics. This paper studies the cold …

In order to promote green and sustainable development of the transportation industry, an
increasing number of logistics companies are deploying Electric Vehicles (EVs) to provide …

Optimization of collaborative multi-depot pickup and delivery logistics networks (CMDPDLN)
with split loads and time windows involves a customer demand splitting strategy and a multi …