Biomass to Biofuel Supply Chain Design and Planning under Uncertainty: Concepts Quantitative Methods

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Bol Biomass to Biofuel Supply Chain Design and Planning Under Uncertainty: Concepts and Quantitative Methods, Second Edition proposes a comprehensive, multi-level framework for optimal biomass-to-biofuel supply chain design and operation, accommodating various types of biomass feedstocks, production pathways, technology options, transportation methods, and final products. This new edition has been thoroughly revised to reflect the latest technological innovations and policy changes while offering a broader range of uncertainty modeling and mathematical programming approaches that cover multi-stage stochastic programming, robust optimization, and probabilistic dynamic programming. These additions provide readers with practical tools to handle the dynamic uncertainties inherent in biofuel supply chains. New case studies and paths to sustainability are also incorporated. By providing an adaptable framework for biofuel supply chain design, focusing on accessible, straightforward quantitative methods, and emphasizing sustainability, this revised edition meets the evolving needs of graduate students, researchers, practitioners, and policymakers seeking to understand biofuel supply chain optimization, uncertainty modeling, and operations. In addition, it helps readers implement practical, sustainable, and regionally applicable optimization solutions.

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Biomass to Biofuel Supply Chain Design and Planning Under Uncertainty: Concepts and Quantitative Methods, Second Edition proposes a comprehensive, multi-level framework for optimal biomass-to-biofuel supply chain design and operation, accommodating various types of biomass feedstocks, production pathways, technology options, transportation methods, and final products. This new edition has been thoroughly revised to reflect the latest technological innovations and policy changes while offering a broader range of uncertainty modeling and mathematical programming approaches that cover multi-stage stochastic programming, robust optimization, and probabilistic dynamic programming. These additions provide readers with practical tools to handle the dynamic uncertainties inherent in biofuel supply chains. New case studies and paths to sustainability are also incorporated. By providing an adaptable framework for biofuel supply chain design, focusing on accessible, straightforward quantitative methods, and emphasizing sustainability, this revised edition meets the evolving needs of graduate students, researchers, practitioners, and policymakers seeking to understand biofuel supply chain optimization, uncertainty modeling, and operations. In addition, it helps readers implement practical, sustainable, and regionally applicable optimization solutions.


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Merk Academic Press Inc
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  • 9780443445606
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