Strategic Planning for the Sustainable Production of Biofuels presents several optimization models for the design and planning of sustainable biorefinery supply chains, including issues surrounding the potential of biomass feedstocks in multiple harvesting sites, availability and seasonality of biomass resources, different potential geographical locations for processing plants that produce multiple products using diverse production technologies, economies of scale for production technologies, demands and prices of multiple products, locations of storage facilities, and a number of transportation modes. Sustainability considerations are incorporated into the proposed models by including simultaneous economic, environmental and social performance in the evaluation of the supply chain designs. - Covers different optimization models for the strategic planning of biorefining systems - Includes the GAMS and MATLAB codes for solving various problems - Considers sustainability criteria in the presented models - Presents different approaches for obtained trade-off solutions - Provides general software that can be used for solving different problems

Dr. José María Ponce-Ortega got his Ph.D. and Master degrees in Chemical Engineering in the Institute of Technology of Celaya in Mexico in 2009 and 2003, respectively. He stayed as a postdoctoral researcher at Texas A&M University and as visiting scholar in Carnegie Mellon University. Dr. Ponce-Ortega is full professor at the Universidad Michoacana de San Nicolás de Hidalgo, and he is member of the National Research System of Mexico. The research interest of Dr. Ponce-Ortega is in the areas of optimization of chemical processes, sustainable design, energy, mass, water and property integration and supply chain optimization. Dr. Ponce-Ortega has published more than 180 papers, 1 book and 46 chapter books. He also has supervised 12 Ph.D. and 24 Master students. He also has 15 funded research projects for about $US 1,000,000.00. Dr. Ponce-Ortega is member of the editorial board of the Clean Technologies and Environmental Policy Journal, and in the Process Integration and Optimization for Sustainability Journal.

Strategic Planning for the Sustainable Production of Biofuels presents several optimization models for the design and planning of sustainable biorefinery supply chains, including issues surrounding the potential of biomass feedstocks in multiple harvesting sites, availability and seasonality of biomass resources, different potential geographical locations for processing plants that produce multiple products using diverse production technologies, economies of scale for production technologies, demands and prices of multiple products, locations of storage facilities, and a number of transportation modes. Sustainability considerations are incorporated into the proposed models by including simultaneous economic, environmental and social performance in the evaluation of the supply chain designs.

• Covers different optimization models for the strategic planning of biorefining systems
• Includes the GAMS and MATLAB codes for solving various problems
• Considers sustainability criteria in the presented models
• Presents different approaches for obtained trade-off solutions
• Provides general software that can be used for solving different problems

1. Introduction 2. Involving environmental aspect in the strategic planning of a biomass conversion system 3. Optimal planning and site selection for distributed multiproduct biorefineries involving economic, environmental and social objectives 4. Distributed biorefining networks for the valued-added processing of water hyacinth 5. Optimization of the supply chain associated to the production of bioethanol from residues of the agave from the tequila process in Mexico 6. Financial risk assessment and optimal planning of biofuels supply chains under uncertainty 7. Stochastic design of biorefinery supply chains considering economic and environmental objectives 8. Mixed-integer dynamic optimization or planning distributed biorefineries Appendix A. GAMS code for the model of Chapter 2 B. GAMS code for the model of Chapter 3 C. GAMS code for the model of Chapter 4 D. GAMS code for the model of Chapter 6 E. GAMS code for the model of Chapter 7 F. GAMS code for the model of Chapter 8