Biomass is a valuable renewable source of energy as an alternative to fossil fuels. The main
barriers in biomass and biofuel development are feedstock high cost, lack of reliable supply …

Optimal network design is a key factor in the enhancement of the economic, environmental,
and social performance and efficiency of the biomass supply chain (BSC), and this is why it …

The present study assesses supply chain resilience based on network structural parameters.
Resilience is computed as a composite effect of density, centrality, connectivity, and network …

We focus on design and planning of a biofuel supply chain (SC) network from biomass to
demand centers where biomass supply is stochastic and seasonal, and facilities' capacity …

The COVID-19 pandemic has caused a confounding collection of transportation, supply
chains, and logistical disruptions, which needs to be well addressed by businesses and …

In today's industrialized world, the scarcity of fossil fuels and the adverse biological effects
resulting from fossil fuel consumption, on one hand, and the increasing population and …

This study presents a two-stage chance-constrained stochastic programming model that
captures the uncertainties due to feedstock seasonality in a bio-fuel supply chain network …

Recently, governmental legislations, limitation of natural resources and adverse effects of
End-of-Life products on ecological system have spurred researchers to design closed-loop …

Drop-in biofuels, which are functionally equivalent to petroleum-based transportation fuels
and fully compatible with existing petroleum infrastructure, have been widely used in …

In this work, we propose a mixed-integer linear programming model to address the design
and planning of a multi-feedstock lignocellulosic bioethanol supply chain network. In order …