Urban areas worldwide face a significant environmental challenge which is increasing
municipal solid waste rate. Addressing its negative consequences necessitates …

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 …

A hyper-heuristic algorithm is a general solution framework that adaptively selects the
optimizer to address complex problems. A classical hyper-heuristic framework consists of …

Introducing clean energy into urban cold chain distribution to achieve a green transition is
crucial for reducing transportation and logistics emissions and promoting sustainable urban …

Perishable product delivery has been a notable challenge due to the nature of perishability
and high customer expectations. Recently, emerging technologies such as electric and multi …

A three-dimensional ant colony optimization algorithm (TDACO) is proposed to solve the
multi-compartment vehicle routing problem (MCVRP) arising in many industries, such as …

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 …

In this paper, the Multi-fleet feeder vehicle routing problem (Multi-Fleet FVRP) has been
considered. In this problem, trucks and motorcycles have left the depot and served …

Efficient logistics network designs can contribute to operational cost savings and efficiency
improvements. In this study, a two-echelon multi-depot multi-period location-routing problem …

This paper studies a new version of the green split multiple-commodity pickup and delivery
vehicle routing problem, in which the multiple commodity demands of each retail store could …