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Stochastic optimization of sustainable hybrid generation bioethanol supply chains
Institution:1. Department of Management, Southwest Minnesota State University, 1501 State Street, Marshall, MN 56258, United States;2. School of Engineering, California Baptist University, 8432 Magnolia Ave, Riverside, CA 92504, United States;3. College of Business & Innovation, Minnesota State University Moorhead, Moorhead, MN 56563, United States;1. School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran;2. School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran;1. College of Mechanical and Transportation Engineering, China University of Petroleum, Beijing, 102249, China;2. Environmental and Ecological Engineering, Purdue University, West Lafayette, IN 47907, USA;1. Chemical Engineering Department, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán, 58060, Mexico;2. Departamento de Ingeniería Química, Universidad de Guanajuato, Guanajuato, Guanajuato, 36050, Mexico;3. Instituto de Investigaciones Químico Biológicas, Universidad Michoacana de San Nicolás de Hidalgo, Edificio B1, Ciudad Universitaria, Morelia, Michoacán, 58030, Mexico;1. Industrial Engineering Department, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines;2. Mechanical Engineering Department, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines;3. Chemical Engineering Department, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines;1. Department of Industrial and Systems Engineering, Mississippi State University, Starkville, MS 39759-9542, United States;2. Department of Agricultural and Biological Engineering, Mississippi State University, Starkville, MS 39759-9542, United States;1. Chair of Air Transport Technology and Logistics, Technische Universität Dresden, Dresden, Germany;2. School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran;3. Institut für Operations Research, Diskrete Optimierung und Logistik, Karlsruher Institut für Technologie (KIT), Karlsruhe, Germany
Abstract:This paper focuses on designing a hybrid generation bioethanol supply chain (HGBSC) that will account for economic, environmental and social aspects of sustainability under various uncertainties. A stochastic mixed integer linear programming model is proposed to design an optimal HGBSC. A case study set in the state of North Dakota in the United States is used as an application of the proposed model. The results suggest that the designs of optimal HGBSC change when different sustainability standards are applied. In addition, sensitivity analysis is conducted to provide deeper understanding of the proposed model.
Keywords:Bioethanol supply chain  Sustainability  Uncertainty  Hybrid generation  Tax credits
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