Analysis of operational issues in hydrothermal liquefaction and supercritical water gasification processes: a review

N Ghavami, K Özdenkçi, G Salierno… - Biomass Conversion …, 2021 - Springer
Biomass is often referred to as a carbon–neutral energy source, and it has a role in reducing
fossil fuel depletion. In addition, biomass can be converted efficiently into various forms of …

Supply chain network design with financial considerations: A comprehensive review

H Jahani, B Abbasi, JB Sheu, W Klibi - European Journal of Operational …, 2024 - Elsevier
Supply chain network design (SCND) is a large and growing area of research. Although
SCND has a remarkable effect on companies' main financial accounts, our examination …

A set of efficient heuristics and meta-heuristics to solve a multi-objective pharmaceutical supply chain network

F Goodarzian, V Kumar, P Ghasemi - Computers & Industrial Engineering, 2021 - Elsevier
In this paper, we propose a new multi-objective optimization approach for the
pharmaceutical supply chain network (PSCN) design problem to minimize the total cost and …

A bilevel model for robust network design and biomass pricing under farmers' risk attitudes and supply uncertainty

Q Li, H Üster, ZH Zhang - Transportation Science, 2023 - pubsonline.informs.org
This paper addresses an integrated biomass pricing and logistics network design problem.
A bilevel design and pricing model is proposed to capture the dynamic decision process …

Modeling and optimization of biomass quality variability for decision support systems in biomass supply chains

M Aboytes-Ojeda, KK Castillo-Villar… - Annals of Operations …, 2022 - Springer
A feasible alternative to the production of fossil fuels is the production of biofuels. In order to
minimize the costs of producing biofuels, we developed a stochastic programming …

[HTML][HTML] Integrating bio-hubs in biomass supply chains: Insights from a systematic literature review

M Valipour, F Mafakheri, B Gagnon, R Prinz… - Journal of Cleaner …, 2024 - Elsevier
Biomass sources are geographically scattered, and seasonal changes influence their
availability. Variations in location, type, and feedstock quality impose logistical and storage …

[HTML][HTML] Deep learning enhanced mixed integer optimization: Learning to reduce model dimensionality

N Triantafyllou, MM Papathanasiou - Computers & Chemical Engineering, 2024 - Elsevier
This work introduces a framework to address the computational complexity inherent in Mixed
Integer Programming (MIP) models by harnessing the potential of deep learning. By …

Multi-bale handling unit for efficient logistics

RB Grisso, J Cundiff, K Comer - AgriEngineering, 2020 - mdpi.com
This paper presents a design for a feedstock logistics system to supply a bioenergy plant
located in the Southeast USA, specifically Piedmont, a physiographic region covering part of …

Machine Learning-based Problem Space Reduction in Stochastic Programming Models: An Application in Biofuel Supply Chain Network Design

K Keith, KK Castillo-Villar, A Alaeddini - IEEE Access, 2024 - ieeexplore.ieee.org
Biofuels derived from feedstock offer a sustainable source for meeting energy needs. The
design of supply chains that deliver these fuels needs to consider quality variability with …

Rapid truck loading for efficient feedstock logistics

RB Grisso, J Cundiff, SC Sarin - AgriEngineering, 2021 - mdpi.com
A multi-bale handling unit offers an advantage for the efficient hauling of round bales. Two
empty racks on trailers are left at a satellite storage location for loading while a truck tractor …