This study provides an overview of green supply chain management (GSCM) in the context
of renewable energy sources. Thus, it establishes a green management standard with …

Optimization through meta-heuristics in electric vehicular (EV) transport has emerged as the
key to improve the existing technologies and pave way for their mass deployment and …

In the COVID-19 pandemic, it is essential to transport medical supplies to specific locations
accurately, safely, and promptly on time. The application of drones for medical supplies …

As a result of rapid industrialisation, rising food demand globally, and, increasing concerns
associated with food safety and quality, the implementation of sustainable supply chain …

Since the multidepot vehicle routing problem with time windows and three-dimensional
loading constraints (MDVRPTW-TDLC) is a multiconstraint and combinatorial optimization …

Background: In this paper, a new closed-loop supply chain (CLSC) network model, including
economic, social and environmental goals, is designed. This paper's primary purpose is to …

An integrated approach of making supply chain decisions has been proven to be more cost-
effective compared to the strategy of taking supply chain decisions sequentially. It has …

In the current global landscape where sustainability is increasingly critical, this study offers a
significant contribution by redefining supply chain models through the lens of circular …

Abstract The Vehicle Routing Problem with Divisible Deliveries and Pickups (VRPDDP) is
under-explored in the literature, yet it has a wide application in practice in a reverse logistics …

Integrated decision regarding routing plan for vehicles, inventory management and
operational adjustments confer minimum cost and emission for a supply chain network. In …