Advances in machine learning technology for sustainable biofuel production systems in lignocellulosic biorefineries
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 …
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
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 …
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
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 …
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 …
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 …
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
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 …
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
Increasing demand for energy is pushing decision-makers in the Bioethanol Supply Chain
Network (BSCN) to adopt second-generation biomass feedstocks to meet sustainability …
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
With the development of the global economy and the enhancement of environmental
awareness, energy-efficient permutation flow shop scheduling gets more attention …
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
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 …
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 …
bioethanol as a renewable resource. This paper presents a novel optimization approach for …