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[HTML][HTML] Artificial intelligence and machine learning in energy systems: A bibliographic perspective
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 …
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
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 …
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
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 …
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
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 …
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
Recent interest in biomass supply chain management has stimulated research efforts in the
industry and academic communities. Techno-economic modeling and optimization efforts …
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
Optimizing supplier selections is an open ended problem, relevant to the operational
performance of both individual companies and entire supply chains. Considering the …
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
Furfural is an organic compound that is widely used in the chemical industry for
manufacturing various products, such as pharmaceuticals, pesticides, and solvents. Furfural …
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 …
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
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 …
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
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 …
growing standard of living and population. This study presents opportunities for sustainable …