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 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.
Preface
1. An Overview of Biomass Feedstocks for Biofuel Production
2. Biomass Supply Chain Structures and Activities
3. Decision-Making Levels in Biofuel Supply Chain
4. Uncertainties in Biomass Supply Chain
5. Sustainability Concepts in Biomass Supply Chain
6. Uncertainty Modelling Approaches for Biofuel Supply Chain
7. Strategic Planning in Biofuel Supply Chain Under Uncertainty
8. Tactical Planning in Biofuel Supply Chain Under Uncertainty
9. Operational Planning in Biofuel Supply Chain Under Uncertainty
Mir Saman Pishvaee is a Full Professor of Industrial Engineering at
the Iran University of Science and Technology, Iran. He received
his Ph.D. from the University of Tehran in 2012 and initiated his
work as a faculty member at SIE in 2013. His research is mainly
focused on supply chain management, robust optimization, and
biofuel supply chain planning. Prof. Pishvaee has published over
200 journal papers, of which 40 of them in the field of biofuel
supply chain design and planning, and he has published over 10 book
chapters. In 2018, six of his papers were among the WOS
highly-cited papers and he also ranked among the Top 1% of
researchers (Engineering area) in 2018 based on ISI-ESI report.
Shayan Mohseni is a PhD graduate who received his Ph.D. in
Industrial Engineering from the Iran University of Science and
Technology, Iran, in 2023. He has broad research interests in
supply chain design and optimization, particularly in biomass-based
biofuel supply chains, with recent research focused on
incorporating sustainability in the design and operations of
microalgae-based biofuel supply chains, dealing with uncertainty
using robust optimization and stochastic programming approaches,
and modelling competition and interaction between different parties
in biomass supply chains with game theory-based optimization
models. Dr. Mohseni has successfully published 4 first-author
journal articles covering various topics on biomass supply
chains.
Samira Bairamzadeh is a PhD graduate in Industrial Engineering who
received her PhD degree from the Iran University of Science and
Technology, Iran. Her research interests lie in sustainable
operations management, biofuel supply chain planning, and robust
optimization, with a specific interest in supply chain planning
under uncertainty, considering the pillars of sustainable
development and developing practical and robust solutions for
complex systems.
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