Decision-Making for Biomass-Based Production Chains - 1st Edition - ISBN: 9780128142783, 9780128142790

Decision-Making for Biomass-Based Production Chains

1st Edition

The Basic Concepts and Methodologies

Authors: Sebnem Yilmaz Balaman
eBook ISBN: 9780128142790
Paperback ISBN: 9780128142783
Imprint: Academic Press
Published Date: 3rd October 2018
Page Count: 258
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Decision-Making for Biomass-Based Production Chains: The Basic Concepts and Medothologies presents a comprehensive study of key-issues surrounding the integration of strategic, tactical and operational decision levels for supply chains in the biomass, biofuels and biorefining sectors. Comprehensive sections cover biomass resources, harvesting, collection, storage and distribution systems, along with the necessary technical and technological background of production systems. In addition, the basics of decision-making, problems and decision levels encountered in design, management and operation phases are covered. Case studies are supplied in each chapter, along with a discussion and comparative analysis of topics.

The book presents a clear vision of advances in the field. Graduate students and those starting in this line of research will also find the necessary information on how to model this kind of complex system. Finally, this comprehensive resource can be used as a guide for non-expert industry decision-makers and government policymakers who need a thorough overview on the industry.

Key Features

  • Examines analytic methodologies for complex decision-making when designing, deploying and managing biomass and bio-based products supply chains
  • Includes real-life examples of main sustainability indicators, standards and certification schemes from the European Union, United States and worldwide
  • Explores the progress of decision-making procedures to provide a detailed perspective for effective selection of the most reliable solutions for each kind of problem
  • Provides detailed, in-depth analyses of various models and frameworks for their implementation, challenges and solutions
  • Presents multi-criteria and multi-objective decision-making and modeling approaches, including mathematical modeling, simulation-based modeling, and artificial intelligence-based modeling


Engineering researchers and practitioners in the biomass, biofuels and biorefining fields, especially those without an industrial engineering background. Graduate students in areas of energy systems, renewable energy, bioenergy, biomass and sustainable design. Managers, specialists and consultants in biomass, biorefinery and bioenergy sectors. Project developers in on-site biomass and bioenergy feasibility projects

Table of Contents

Chapter 1. Introduction to biomass – resources, production, harvesting, collection and storage
1. Biomass concept and the main biomass resources
1.1. Dedicated energy crops
1.1.1. Herbaceous energy crops
1.1.2. Woody energy crops
1.1.3. Plantation and harvesting of energy crops Site selection and pre-planting site preparation Planting and harvesting
1.1.4. Treatment and storage of dedicated energy crops
1.2. Residues
1.2.1. Agricultural residues
1.2.2. Forestry residues
1.2.3. Harvesting, treatment and storage of residues
1.3. Wastes
1.3.1. Animal wastes
1.3.2. Municipal solid waste
1.3.3. Wastewater and sludge
1.3.4. Industrial wastes
1.3.5. Treatment and storage of wastes
2. Recent trends in biomass production
3. Discussion
Chapter 2. Biomass based production systems
1. The main systems, technologies and processes for biomass based production
1.1. Thermo-chemical conversion technologies
1.1.1. Combustion
1.1.2. Gasification
1.1.3. Pyrolysis
1.1.4. Hydrothermal liquefaction
1.2. Biochemical conversion technologies
1.2.1. Anaerobic digestion
1.2.2. Fermentation
1.3. Mechanical extraction
2. Recent trends in biomass based production technologies
3. Discussion
Chapter 3. Biomass based supply chains and logistics networks
1. General structure and key components of biomass based supply chains
1.1. Biomass cultivation, harvesting, collection and storage
1.2. Biomass pre-treatment
1.3. Biomass transportation
1.4. Biomass conversion
1.5. Biofuel storage, transportation and consumption
1.6. Energy production and transmission
2. Discussion
Chapter 4. Sustainability issues in biomass based production chains
1. Sustainability of biomass based production chains
1.1. Economic sustainability
1.2. Environmental sustainability
1.3. Social sustainability
1.4. Technical sustainability
2. Design, planning and implementation of sustainable biomass based production chains
2.1. Sustainability indicators, standards and certification schemes
2.2. Sustainability assessment in design and management of biomass based production chains
2.3. Life cycle assessment of biomass based production systems
3. Discussion
Chapter 5. Uncertainty issues in biomass based production chains
1. Uncertainty in biomass based production chains
1.1. Uncertainty in market demand and prices
1.2. Uncertainty in supply of biomass and other materials
1.3. Technology and process uncertainties
1.4. Uncertainty in governmental and regulatory policies
1.5. Uncertainty in transportation and logistics
1.6. Natural uncertainties and disruption possibility
2. Handling uncertainties in biomass based production chains
2.1. Approaches for uncertainty modelling
2.1.1. Stochastic Programming
2.1.2. Robust optimization
2.1.3. Fuzzy decision making
2.2. Methods for Uncertainty Impact Evaluation
2.2.1. Sensitivity analysis
2.2.2. Scenario analyses
3. Discussion
Chapter 6. Basics of decision making in design and management of biomass based production chains
1. Decision levels in design and management of biomass based production chains
1.1. Strategic decisions
1.2. Tactical decisions
1.3. Operational decisions
2. Decision making in design and management of biomass based production chains
2.1. The main objectives and criteria
2.1.1. Economic objectives and criteria
2.1.2. Environmental objectives and criteria
2.1.3. Social objectives and criteria
2.1.4. Technical criteria
2.2. Multiple Attribute and Multiple Criteria Decision Making Methods in Biomass Based Production Chains
2.2.1. Multiple Attribute Decision Making
2.2.2. Multiple Objective Decision Making Fuzzy Multiple Objective Linear Programming
3. Discussion
Chapter 7. Modelling and optimization approaches in design and management of biomass based production chains
1. Mathematical modeling based approaches
1.1. Linear Programming
1.2. Non-linear programming
1.3. Methods and tools to solve linear and non-linear programming problems
1.3.1. Simplex Method and Interior Point Methods
1.3.2. Column Generation and Dantzig Wolfe Decomposition
1.3.3. Cutting plane method and benders decomposition
1.3.4. Lagrangian relaxation
1.3.5. Branch and bound method
2. Simulation based approaches
3. Artificial intelligence based approaches
3.1.  Computational search and optimization methods
3.1.1. Greedy Algorithms
3.1.2. Simulated annealing
3.1.3. Tabu search
3.1.4. Evolutionary computation
3.1.5. Swarm intelligence
3.2. Machine learning
4. Geographic Information Systems (GIS)
5. Game theory
6. Discussion


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About the Author

Sebnem Yilmaz Balaman

Dr. Şebnem Yılmaz Balaman is an Assistant Professor in the Department of Industrial Engineering at Dokuz Eylül University. Specializing in the application of operations research techniques to support decision-making within the biomass and bioenergy sectors, she completed her PhD at Dokuz Eylül University, on developing optimization methodologies for effective design and management of biomass to energy supply chains. She was also a post-doctoral research fellow with the Project and Supply Chain Management Research Group of the School of Engineering and Applied Science at Aston University, United Kingdom. Her research interests include sustainable supply chain design and management, logistics operations planning, biomass-based supply chains and production systems, bioenergy, mathematical modelling, multi-criteria decision making, fuzzy decision making, and risk management. Her work has appeared in energy and sustainable production outlets. She also acts as a reviewer in international journals in the above fields.

Affiliations and Expertise

Assistant Professor, Department of Industrial Engineering, Dokuz Eylul University

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