Advances in machine learning technology for sustainable biofuel production systems in lignocellulosic biorefineries

V Sharma, ML Tsai, CW Chen, PP Sun… - Science of The Total …, 2023 - Elsevier
In view of the global climate change concerns, the society is approaching towards the
development of 'green'and renewable energies for sustainable future. The non-renewable …

Performance measurement of the sustainable supply chain during the COVID-19 pandemic: A real-life case study

S Abbasi, HA Khalili, M Daneshmand-Mehr… - … of Computing and …, 2022 - sciendo.com
This paper aims to introduce a framework to measure the sustainable performance of the
supply chain (SC) during the COVID-19 pandemic. The SC stakeholders in this investigation …

Green and sustainable biomass supply chain for environmental, social and economic benefits

M Hiloidhari, MA Sharno, DC Baruah… - Biomass and …, 2023 - Elsevier
Bioenergy is a clean and renewable source of energy that can reduce global depency on
fossil fuel, and it is a sustainable, economically viable, and socially acceptable. Bioenergy …

[PDF][PDF] Multi-criteria analysis techniques to assist decision-making in renewable energy supply chains: a review

M Fasihi - J. Oper. Strateg Anal, 2024 - library.acadlore.com
The pressing need to reduce reliance on petroleum in the energy sector and the increasing
demand for environmental protection are driving research and practical endeavors in the …

[HTML][HTML] Different forms of optical soliton solutions to the Kudryashov's quintuple self-phase modulation with dual-form of generalized nonlocal nonlinearity

R Li, ZAB Sinnah, ZM Shatouri, J Manafian… - Results in Physics, 2023 - Elsevier
In this paper, the exact soliton solutions and other exact solutions for nonlinear
Schrodinger's equation having Kudryashov's quintuple power law of refractive index …

Designing a sustainable bioethanol supply chain network: A combination of machine learning and meta-heuristic algorithms

M Momenitabar, ZD Ebrahimi, P Ghasemi - Industrial Crops and Products, 2022 - Elsevier
Bioethanol demands have increased during the last decade due to unexpected events
worldwide. It is among the renewable energy sources that are utilized to replace fossil-fuel …

[HTML][HTML] An integrated machine learning and quantitative optimization method for designing sustainable bioethanol supply chain networks

M Momenitabar, ZD Ebrahimi, A Abdollahi… - Decision Analytics …, 2023 - Elsevier
Increasing demand for energy is pushing decision-makers in the Bioethanol Supply Chain
Network (BSCN) to adopt second-generation biomass feedstocks to meet sustainability …

Problem-specific knowledge MOEA/D for energy-efficient scheduling of distributed permutation flow shop in heterogeneous factories

C Luo, W Gong, R Li, C Lu - Engineering Applications of Artificial …, 2023 - Elsevier
With the development of the global economy and the enhancement of environmental
awareness, energy-efficient permutation flow shop scheduling gets more attention …

Navigating epistemic uncertainty in third-generation biodiesel supply chain management through robust optimization for economic and environmental performance

M Umar, M Tayyab, HR Chaudhry, CW Su - Annals of Operations …, 2023 - Springer
The escalating global warming crisis and the dwindling traditional energy sources have
spurred an urgent need for exploring sustainable and renewable energy options. In this …

Designing a resilient and sustainable multi-feedstock bioethanol supply chain: Integration of mathematical modeling and machine learning

A Jabbarzadeh, M Shamsi - Applied Energy, 2025 - Elsevier
The escalating global demand for sustainable energy has intensified the focus on
bioethanol as a renewable resource. This paper presents a novel optimization approach for …