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- Biomass to Biofuel Supply Chain Design and Planning under Uncertainty
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Samira Bairamzadeh
Biomass to Biofuel Supply Chain Design and Planning under Uncertainty
Balsavo 0
ISBN: 9780128206409
Autorius : Samira Bairamzadeh
Leidimo metai: 2020
Leidėjas: Academic Press
Leidinio kalba: Anglų
Formatas: Minkšti viršeliai
Formatas: 9×6
Autorius : Samira Bairamzadeh
Leidimo metai: 2020
Leidėjas: Academic Press
Leidinio kalba: Anglų
Formatas: Minkšti viršeliai
Formatas: 9×6
Kaina:
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Aprašymas
<p><i>Biomass to Biofuel Supply Chain Design and Planning under Uncertainty: Concepts and Quantitative Methods</i> 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. </p> <p>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. </p>
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