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.
Author(s): Mir Saman Pishvaee, Shayan Mohseni, Samira Bairamzadeh
Publisher: Academic Press
Year: 2020
Language: English
Pages: 284
City: London
Chapter 1 - An overview of biomass feedstocks for biofuel production
1.1 - Introduction
1.2 - First-generation biofuels
1.2.1 - Sugar/starch feedstocks
1.2.2 - Edible oil feedstocks
1.3 - Second-generation biofuels
1.3.1 - Lignocellulosic feedstocks
1.3.1.1 - Organic residues/wastes
1.3.1.2 - Dedicated lignocellulosic crops
1.3.2 - Nonedible oil feedstocks
1.3.2.1 - Dedicated oil crops
1.3.2.2 - Waste cooking oil and animal fats
1.4 - Third-generation biofuels
1.5 - Comparison of three generations of biofuels
1.5.1 - Land, water, and nutrient requirements
1.5.2 - Competition with food production
1.5.3 - Commercialization and production cost
1.6 - Conclusions
References
Chapter 2 - Biofuel supply chain structures and activities
2.1 - Introduction
2.2 - General structure of the biomass supply chain
2.3 - Biomass conversion pathways
2.3.1 - Biomass thermochemical conversion pathways
2.3.2 - Biomass biochemical/biological conversion pathways
2.3.3 - Biomass chemical conversion pathways
2.4 - Conclusions
References
Chapter 3 - Decision-making levels in biofuel supply chain
3.1 - Introduction
3.2 - Strategic-level decisions
3.2.1 - Selection of biomass type
3.2.2 - Selection of biomass cultivation sites
3.2.3 - Selection of facility location, technology, and capacity
3.2.4 - Biofuel distribution network design
3.2.5 - Integrated biofuel and petroleum supply chain design
3.2.6 - Biofuel market selection
3.2.7 - International trade network design
3.2.8 - Biofuel supply chain network redesign
3.3 - Tactical-level decisions
3.3.1 - Harvesting and collection planning
3.3.2 - Biomass storage planning
3.3.3 - Biomass and biofuel transportation planning
3.3.4 - Biorefinery process synthesis and design
3.3.5 - Supply chain master production planning
3.3.6 - Biofuel pricing and biofuel demand forecasting
3.4 - Operational-level decisions
3.4.1 - Scheduling of supply chain operations
3.4.2 - Vehicle routing and scheduling
3.5 - Systematic classification of the literature
3.6 - Conclusions
References
Chapter 4 - Uncertainties in biofuel supply chain
4.1 - Biofuel supply chain risk management framework
4.2 - Risk identification
4.2.1 - Internal risks to the supply chain entities
4.2.2 - Network-related risks
4.2.3 - External risks to the supply chain
4.3 - Risk assessment
4.4 - Risk treatment
4.4.1 - Robustness enhancement approaches
4.4.2 - Resilience enhancement approaches
4.5 - Conclusion
References
Chapter 5 - Sustainability concepts in biofuel supply chain
5.1 - Supply chain management and introduction to sustainability paradigm
5.2 - Economic aspect
5.3 - Environmental impacts assessment: LCA methodology
5.3.1 - Goal and scope definition phase
5.3.2 - Life cycle inventory analysis phase
5.3.3 - Life cycle impact assessment phase
5.3.3.1 - Life cycle impact assessment methods
5.3.3.2 - Case study
5.3.4 - Life cycle interpretation phase
5.4 - Social impact assessment
5.4.1 - Social impact assessment in biomass supply chains
5.4.2 - Social life cycle assessment methods and guidelines
5.5 - Conclusions
References
Further reading
Chapter 6 - Uncertainty modeling approaches for biofuel supply chains
6.1 - Introduction
6.2 - Stochastic programming
6.2.1 - Chance-constrained programming
6.2.2 - Robust scenario-based stochastic programming
6.3 - Robust optimization
6.3.1 - Preliminaries
6.3.1.1 - Box uncertainty set
6.3.1.2 - Ellipsoidal uncertainty set
6.3.1.3 - Polyhedral uncertainty set
6.3.1.4 - Box-ellipsoidal uncertainty set
6.3.1.5 - Box-polyhedral uncertainty set
6.3.2 - Adjustable robust optimization
6.4 - Data-driven optimization
6.4.1 - Data-driven robust optimization
6.4.1.1 - Flexible uncertainty set
6.4.1.2 - Robust counterpart formulation
6.4.2 - Distributionally robust optimization
6.4.2.1 - Ambiguity set
6.4.2.2 - Robust counterpart formulation
6.5 - Fuzzy mathematical programming
6.5.1 - Possibilistic programming
6.5.1.1 - Handling uncertainty in the chance constraints
6.5.1.2 - Handling uncertainty in the objective function
6.5.2 - Flexible programming model
6.5.3 - Robust possibilistic programming
6.5.3.1 - Realistic robust possibilistic programming
6.5.3.2 - Hard worst-case robust possibilistic programming
6.5.3.3 - Soft worst-case robust possibilistic programming
6.6 - Literature review of uncertainty modeling approaches in biofuel supply chain
6.7 - Conclusions
References
Chapter 7 - Strategic planning in biofuel supply chain under uncertainty
7.1 - Introduction
7.2 - An overview of uncertainties related to strategic decisions
7.3 - Identification of candidate locations for supply chain design models
7.3.1 - Geographic information system
7.3.2 - Data envelopment analysis
7.4 - Biofuel supply chain network design
7.4.1 - Switchgrass-to-bioethanol supply chain design: a case study
7.4.1.1 - Mathematical model
7.4.1.1.1 - Objective function
7.4.1.1.2 - Constraints
7.4.1.2 - Robust counterpart formulation
7.4.1.2.1 - Constraints
7.4.1.2.2 - Objective function
7.4.1.3 - Case study
7.4.1.3.1 - Results and discussion
7.5 - Conclusions
References
Chapter 8 - Tactical planning in biofuel supply chain under uncertainty
8.1 - Introduction
8.2 - Biorefinery process synthesis and design
8.2.1 - Processing rout selection for microalgae biorefinery: a case study
8.2.1.1 - Mathematical model
8.2.1.1.1 - Objective function
8.2.1.1.2 - Constraints
8.2.1.2 - Case study
8.2.1.2.1 - Results and discussion
8.2.1.2.2 - Economic performance of the biorefinery
8.2.1.2.3 - Optimal processing pathway for the biorefinery
8.3 - Biofuel supply chain master planning
8.3.1 - JCL-to-biodiesel supply chain master planning under uncertainty
8.3.1.1 - Mathematical model
8.3.1.1.1 - Objective function
8.3.1.1.2 - Constraints
8.3.1.2 - Robust counterpart formulations
8.3.1.2.1 - Robust counterparts of the constraints
8.3.1.2.2 - Robust counterpart of the objective function
8.4 - Conclusions
References
Chapter 9 - Operational planning in biofuel supply chain under uncertainty
Abstract
Keywords
9.1 - Introduction
9.2 - Short-term corn stover harvest planning (a case study)
9.2.1 - Problem statement
9.2.2 - Mathematical model
9.2.2.1 - Objective function
9.2.2.2 - Constraints
9.2.2.3 - Data-driven robust optimization model
9.2.3 - Results and discussion
9.2.3.1 - Comparison of harvest profits obtained by different models
9.2.3.2 - Comparison of harvest schedules obtained by different models
9.3 - Conclusions
References
