shayan mohseni - Academia.edu (original) (raw)
Papers by shayan mohseni
Biomass to Biofuel Supply Chain Design and Planning under Uncertainty: Concepts and Quantitative... more Biomass to Biofuel Supply Chain Design and Planning under Uncertainty: Concepts and Quantitative Methods explores the design and optimization of biomass-to-biofuel supply chains for commercial-scale implementation of biofuel projects by considering the problems and challenges encountered in real supply chains. By offering a fresh approach and discussing a wide range of quantitative methods, the book enables researchers and practitioners to develop hybrid methods that integrate the advantages and features of two or more methods in one decision-making framework for the efficient optimization of biofuel supply chains, especially for complex supply chain models. Combining supply chain management and modeling techniques in a single volume, the book is beneficial for graduate students who no longer need to consult subject-specific books alongside mathematical modeling textbooks. The book consists of two main parts. The first part describes the key components of biofuel supply chains, including biomass production, harvesting, collection, storage, preprocessing, conversion, transportation, and distribution. It also provides a comprehensive review of the concepts, problems, and opportunities associated with biofuel supply chains, such as types and properties of the feedstocks and fuel products, decision-making levels, sustainability concepts, uncertainty analysis and risk management, as well as integration of biomass supply chain with other supply chains. The second part focuses on modeling and optimization of biomass-to-biofuel supply chains under uncertainty, using different quantitative methods to determine optimal design.
In this chapter, biomass feedstocks currently used in the biofuel industry or being investigated ... more In this chapter, biomass feedstocks currently used in the biofuel industry or being investigated as potential sources are reviewed under three headlines: first-, second-, and third-generation biomass feedstocks. First-generation feedstocks include sugar feedstocks (e.g., sugar cane and sugar beet), starch feedstocks (e.g., corn and wheat), and edible oil feedstocks (e.g., rapeseed and soybean). Second-generation feedstocks include lignocellulosic feedstocks (containing biomass residues, organic wastes, and dedicated lignocellulosic crops) and nonedible oil feedstocks (containing waste cooking oil, animal fats and dedicated oil crops). Third-generation feedstocks are derived from microalgae. The advantages and disadvantages of different biomass feedstocks along with their challenges and opportunities for commercial-scale biofuel production are also discussed.
Third-generation biofuel supply chain: A comprehensive review and future research directions
Journal of Cleaner Production
Data-driven robust optimization for wastewater sludge-to-biodiesel supply chain design
Computers & Industrial Engineering
Moringa oleifera biomass-to-biodiesel supply chain design: An opportunity to combat desertification in Iran
Journal of Cleaner Production
Environmental and Economic Optimization of Algal Biofuel Supply Chain with Multiple Technological Pathways
Industrial & Engineering Chemistry Research
A robust programming approach towards design and optimization of microalgae-based biofuel supply chain
Computers & Industrial Engineering, 2016
Robust design and planning of microalgae biomass-to-biodiesel supply chain: A case study in Iran
Energy, 2016
Books by shayan mohseni
academic press, 2020
Biomass to Biofuel Supply Chain Design and Planning under Uncertainty: Concepts and Quantitative ... more Biomass to Biofuel Supply Chain Design and Planning under Uncertainty: Concepts and Quantitative Methods explores the design and optimization of biomass-to-biofuel supply chains for commercial-scale implementation of biofuel projects by considering the problems and challenges encountered in real supply chains. By offering a fresh approach and discussing a wide range of quantitative methods, the book enables researchers and practitioners to develop hybrid methods that integrate the advantages and features of two or more methods in one decision-making framework for the efficient optimization of biofuel supply chains, especially for complex supply chain models. Combining supply chain management and modeling techniques in a single volume, the book is beneficial for graduate students who no longer need to consult subject-specific books alongside mathematical modeling textbooks. The book consists of two main parts. The first part describes the key components of biofuel supply chains, including biomass production, harvesting, collection, storage, preprocessing, conversion, transportation, and distribution. It also provides a comprehensive review of the concepts, problems, and opportunities associated with biofuel supply chains, such as types and properties of the feedstocks and fuel products, decision-making levels, sustainability concepts, uncertainty analysis and risk management, as well as integration of biomass supply chain with other supply chains. The second part focuses on modeling and optimization of biomass-to-biofuel supply chains under uncertainty, using different quantitative methods to determine optimal design.
Biomass to Biofuel Supply Chain Design and Planning under Uncertainty: Concepts and Quantitative... more Biomass to Biofuel Supply Chain Design and Planning under Uncertainty: Concepts and Quantitative Methods explores the design and optimization of biomass-to-biofuel supply chains for commercial-scale implementation of biofuel projects by considering the problems and challenges encountered in real supply chains. By offering a fresh approach and discussing a wide range of quantitative methods, the book enables researchers and practitioners to develop hybrid methods that integrate the advantages and features of two or more methods in one decision-making framework for the efficient optimization of biofuel supply chains, especially for complex supply chain models. Combining supply chain management and modeling techniques in a single volume, the book is beneficial for graduate students who no longer need to consult subject-specific books alongside mathematical modeling textbooks. The book consists of two main parts. The first part describes the key components of biofuel supply chains, including biomass production, harvesting, collection, storage, preprocessing, conversion, transportation, and distribution. It also provides a comprehensive review of the concepts, problems, and opportunities associated with biofuel supply chains, such as types and properties of the feedstocks and fuel products, decision-making levels, sustainability concepts, uncertainty analysis and risk management, as well as integration of biomass supply chain with other supply chains. The second part focuses on modeling and optimization of biomass-to-biofuel supply chains under uncertainty, using different quantitative methods to determine optimal design.
In this chapter, biomass feedstocks currently used in the biofuel industry or being investigated ... more In this chapter, biomass feedstocks currently used in the biofuel industry or being investigated as potential sources are reviewed under three headlines: first-, second-, and third-generation biomass feedstocks. First-generation feedstocks include sugar feedstocks (e.g., sugar cane and sugar beet), starch feedstocks (e.g., corn and wheat), and edible oil feedstocks (e.g., rapeseed and soybean). Second-generation feedstocks include lignocellulosic feedstocks (containing biomass residues, organic wastes, and dedicated lignocellulosic crops) and nonedible oil feedstocks (containing waste cooking oil, animal fats and dedicated oil crops). Third-generation feedstocks are derived from microalgae. The advantages and disadvantages of different biomass feedstocks along with their challenges and opportunities for commercial-scale biofuel production are also discussed.
Third-generation biofuel supply chain: A comprehensive review and future research directions
Journal of Cleaner Production
Data-driven robust optimization for wastewater sludge-to-biodiesel supply chain design
Computers & Industrial Engineering
Moringa oleifera biomass-to-biodiesel supply chain design: An opportunity to combat desertification in Iran
Journal of Cleaner Production
Environmental and Economic Optimization of Algal Biofuel Supply Chain with Multiple Technological Pathways
Industrial & Engineering Chemistry Research
A robust programming approach towards design and optimization of microalgae-based biofuel supply chain
Computers & Industrial Engineering, 2016
Robust design and planning of microalgae biomass-to-biodiesel supply chain: A case study in Iran
Energy, 2016
academic press, 2020
Biomass to Biofuel Supply Chain Design and Planning under Uncertainty: Concepts and Quantitative ... more Biomass to Biofuel Supply Chain Design and Planning under Uncertainty: Concepts and Quantitative Methods explores the design and optimization of biomass-to-biofuel supply chains for commercial-scale implementation of biofuel projects by considering the problems and challenges encountered in real supply chains. By offering a fresh approach and discussing a wide range of quantitative methods, the book enables researchers and practitioners to develop hybrid methods that integrate the advantages and features of two or more methods in one decision-making framework for the efficient optimization of biofuel supply chains, especially for complex supply chain models. Combining supply chain management and modeling techniques in a single volume, the book is beneficial for graduate students who no longer need to consult subject-specific books alongside mathematical modeling textbooks. The book consists of two main parts. The first part describes the key components of biofuel supply chains, including biomass production, harvesting, collection, storage, preprocessing, conversion, transportation, and distribution. It also provides a comprehensive review of the concepts, problems, and opportunities associated with biofuel supply chains, such as types and properties of the feedstocks and fuel products, decision-making levels, sustainability concepts, uncertainty analysis and risk management, as well as integration of biomass supply chain with other supply chains. The second part focuses on modeling and optimization of biomass-to-biofuel supply chains under uncertainty, using different quantitative methods to determine optimal design.