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.
- Proposes a general multi-level framework for the optimal design and operation of biomass-to-biofuel supply chains through quantitative analysis and modeling, including different biomass and waste biomass feedstock, production pathways, technology options, transportation modes, and final products
- Explores how modeling and optimization tools can be utilized to address sustainability issues in biofuel supply chains by simultaneously assessing and identifying sustainable solutions
- Presents several case studies with different regional constraints to evaluate the practical applicability of different optimization methods and compares their performance in real-world situations
- Includes General Algebraic Modeling System (GAMS) codes for solving biomass supply chain optimization problems discussed in different chapters
PART I Biomass supply chain design and analysis concepts 1. Biomass resources and their bioenergy potential 2. Biomass supply chain structures and activities 3. Decision making in biomass supply chain 4. Uncertainties in biomass supply chain 5. Sustainability concepts in biomass supply chain
PART II Quantitative methods for biomass supply chain design 6. Biomass supply chain problems 7. Modelling approaches 8. Optimization approaches 9. Solution approaches 10. Performance evaluation
Mir Saman Pishvaee is an Associate Professor of Industrial Engineering at Iran University of Science and Technology. He received his Ph.D. from University of Tehran in 2012 and initiated his work as a faculty member at SIE since 2013. His research vision is concentrated mainly on Supply chain management, Robust optimization and Biofuel supply chain planning. He has published a number of book chapters and scientific articles in the field of biofuel supply chain design and planning. Till 2018, six of his papers are among the WOS highly-cited papers and he also ranked among the Top 1 percent researchers (Engineering area) in 2018 based on ISI-ESI report.
Shayan Mohseni is a PhD student in the Department of Industrial Engineering at Iran University of Science and Technology. He has a broad research interest in supply chain design and optimizations, particularly in biomass-based biofuel supply chains. He has successfully published four first-author journal articles covering various topics on biomass supply chains. His recent research is 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 modeling competition and interaction between different parties in biomass supply chains with game theory-based optimization models.
Samira Bairamzadeh is currently working as a postdoc researcher in the School of Industrial Engineering at Iran University of Science and Technology (IUST). She obtained her Ph.D. in industrial engineering from IUST with a thesis titled 'A sustainable lignocellulosic biomass-to-biofuel supply chain network design under multiple uncertainties.' Her research activity is focused on the biomass supply chain network design and optimization, robust optimization, and sustainability concepts in the biomass supply chains. She has published three first-author journal articles, covering various topics such as multi-objective robust optimization approaches, sustainability aspects, as well as supply chain management new paradigms in the design and operations of biomass to biofuel supply chains.