CyberGIS-enabled decision support platform for biomass supply chain optimization |
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| Affiliation: | 1. School of Information Studies, Syracuse University, USA;2. Australian Centre for Ecological Analysis and Synthesis, Terrestrial Ecosystem Research Network and School of Geography, University of Queensland, Australia;3. Research Library, Los Alamos National Laboratory, US Department of Energy, USA;4. Jon M Huntsman School of Business, Utah State University, USA;5. Department of Information and Decision Sciences, University of Illinois at Chicago, USA |
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| Abstract: | Biomass supply chain optimization aims to facilitate large-scale production of biofuels by improving the efficiency and effectiveness of biomass feedstock provision. Most existing models are not web based, limited by the accessibility for real-world applications. A CyberGIS-enabled biomass supply chain decision support platform was developed to improve model accessibility and computational performance. The platform includes four major components: BioScope optimization model, GISolve middleware, high-performance cyberinfrastructure, and an interactive web interface. The workflow and functions of each component are provided to illustrate the development and usage of the platform. Case studies and associated system performance have been evaluated to demonstrate the utility of the CyberGIS-enabled decision support platform. Through leveraging cyberinfrastructure resources and interactive web-based interface, the platform enables solving complex biomass supply chain optimization problems. The improved computational performance could provide responsive decision support for group-based applications. |
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| Keywords: | Biomass supply chain Cyberinfrastructure CyberGIS Decision support GIS Optimization |
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