£157.99

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

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Description

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. Explores the design and optimization of biomass-to-biofuel supply chains for commercial-scale implementation of biofuel projects Offers expanded uncertainty modeling and optimization techniques, providing practical tools to handle dynamic uncertainties inherent in biofuel supply chains Focuses on the pillars of sustainability (economic, environmental, and social) within supply chain planning Addresses key challenges and features new case studies that span various regional contexts

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
05 November 2026
Listed Since
21 January 2026

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No barcode data available

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