[HTML][HTML] Artificial intelligence and machine learning in energy systems: A bibliographic perspective

A Entezari, A Aslani, R Zahedi, Y Noorollahi - Energy Strategy Reviews, 2023 - Elsevier
Economic development and the comfort-loving nature of human beings in recent years have
resulted in increased energy demand. Since energy resources are scarce and should be …

Techno-economic analysis for biomass supply chain: A state-of-the-art review

SLY Lo, BS How, WD Leong, SY Teng… - … and Sustainable Energy …, 2021 - Elsevier
Given the increasing risk of climate change and depletion of non-renewable energy sources,
countries around the world have been looking into energy profile diversification whereby …

A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing

IM Cavalcante, EM Frazzon, FA Forcellini… - International Journal of …, 2019 - Elsevier
There has been an increased interest in resilient supplier selection in recent years, much of
it focusing on forecasting the disruption probabilities. We conceptualize an entirely different …

Resilient and sustainable supplier selection: an integration of SCOR 4.0 and machine learning approach

MM Khan, I Bashar, GM Minhaj, AI Wasi… - Sustainable and …, 2023 - Taylor & Francis
The purpose of this research paper is to implement a machine learning model with the
integration of the supply chain occupational reference (SCOR) model to develop an artificial …

A review and future directions in techno-economic modeling and optimization of upstream forest biomass to bio-oil supply chains

A Mirkouei, KR Haapala, J Sessions… - … and Sustainable Energy …, 2017 - Elsevier
Recent interest in biomass supply chain management has stimulated research efforts in the
industry and academic communities. Techno-economic modeling and optimization efforts …

Collaborative and integrated data-driven delay prediction and supplier selection optimization: A case study in a furniture industry

MA Zaghdoudi, S Hajri-Gabouj, F Ghezail… - Computers & Industrial …, 2024 - Elsevier
Optimizing supplier selections is an open ended problem, relevant to the operational
performance of both individual companies and entire supply chains. Considering the …

Comparison of pyrolysis and hydrolysis processes for furfural production from sugar beet pulp: a case study in southern Idaho, USA

MA Thompson, A Mohajeri, A Mirkouei - Journal of Cleaner Production, 2021 - Elsevier
Furfural is an organic compound that is widely used in the chemical industry for
manufacturing various products, such as pharmaceuticals, pesticides, and solvents. Furfural …

Applications of artificial intelligence in supply chain management and logistics: focusing onto recognition for supply chain execution

B Hellingrath, S Lechtenberg - The Art of Structuring: Bridging the Gap …, 2019 - Springer
Abstract Emerging technologies like Artificial Intelligence (AI) show the potential to
contribute significantly to the digitalization of supply chains. Nonetheless, the question which …

[PDF][PDF] Classification and Allocation of Suppliers to Customers in Resilince Supply Chains Using Machine Learning

M Esmaeili, L Olfat, M Amiri… - Journal of Industrial …, 2023 - researchgate.net
Selection and allocation in the resilient supply chain, when disruption threatens the supply
chain, has become a strategic decision and the focus of many researches; increase in the …

[HTML][HTML] A review and future directions on enhancing sustainability benefits across food-energy-water systems: the potential role of biochar-derived products

B Hersh, A Mirkouei, J Sessions… - AIMS environmental …, 2019 - aimspress.com
The future of food-energy-water resources is an ever-increasing global concern due to a
growing standard of living and population. This study presents opportunities for sustainable …