Bilevel optimization is a very active field of applied mathematics. The main reason is that
bilevel optimization problems can serve as a powerful tool for modeling hierarchical …

Over the past decades, the Multicommodity Network Flow (MCNF) problem has grown
popular in the academic literature and a growing number of researchers are interested in …

This study proposes a data-driven analysis that describes the overall situation and reveals
the factors hindering improvement in the sustainable supply chain management field. The …

Hydrogen fueling stations (HFSs) will proliferate in the near future as they are prerequisites
for the fast developing hydrogen-powered vehicles (HVs). The HFSs can utilize cheap …

Recently, social awareness, governmental legislations and competitive business
environment have spurred researchers to pay much attention to closed-loop supply chain …

Motivated by a real problem, in this paper, a new multi-period production-distribution
planning (PDP) for perishable products with a fixed lifetime in a seller-buyer system is …

Multimodal transportation, which refers to the combination of different modes in a
transportation chain, can be a cost-efficient and green alternative to unimodal road …

In stochastic optimisation, the large number of scenarios required to faithfully represent the
underlying uncertainty is often a barrier to finding efficient numerical solutions. This …

Benders decomposition is a broadly used exact solution method for stochastic programs,
which has been increasingly applied to solve transportation and logistics planning problems …

Fifty years of research in Networks coincides with 50 years of advances in resilience theory
and applications. The purpose of this review is to identify how these two technical …