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Sustainable cultivation location optimization of the Jatropha curcas L. under uncertainty: A unified fuzzy data envelopment analysis approach |
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| Affiliation: | 1. Faculty of Engineering, Urmia University, Urmia, West Azerbaijan Province, Iran;2. School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran;3. School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran;1. Izmir University of Economics, Faculty of Engineering and Computer Science, Balcova, Izmir, Turkey;2. University of Missouri-Columbia, College of Engineering, Columbia, MO, USA;1. Department of Design and Manufacturing Engineering, Universidad de Zaragoza, Zaragoza, Spain;2. Centro Universitario de la Defensa, Zaragoza, Spain;1. Wenhua College, Wuhan 430074, China;2. School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, Wuhan 430074, China;1. Programa de Pós-Graduação em Engenharia de Telecomunicações, Instituto Federal de Educação, Ciência e Tecnologia do Ceará, Fortaleza, CE, Brazil;2. Programa de Pós-Graduação em Ciências da Computação, Instituto Federal de Educação, Ciência e Tecnologia do Ceará, Fortaleza, CE, Brazil;1. Technological Institute of Aragón, C/ María de Luna 7-8, E-50018 Zaragoza, Spain;2. Instituto de Investigación en Ingeniería de Aragón, Universidad de Zaragoza, C/ María de Luna 1, E-50018 Zaragoza, Spain |
| Abstract: | Second-generation biodiesel production from non-edible high oil content feedstocks such as Jutropha curcas L. (JCL) has been found as a suitable alternative for the fossil diesel which is mostly consumed in transportation sector. Second-generation biodiesel eliminates the drawbacks of the first generation such as food-energy challenge and provides opportunity for rural development. Location optimization of JCL plays a vital role in the success and prosperity of JCL projects. In this study, sustainability and ecological indicators are defined to evaluate the performance and efficiency of the candidate locations for JCL cultivation under uncertainty. The values of defined indicators are highly tainted with uncertainty in real-life situation. To optimize the candidate locations for JCL cultivation under uncertainty, an efficient Unified Fuzzy Data Envelopment Analysis (UFDEA) model is developed. The proposed UFDEA model is verified and validated through investigating a real case study in Iran and the associated results are compared to those obtained by the crisp Unified Data Envelopment Analysis model under different levels of uncertainty. The obtained results show the applicability of the proposed UFDEA model in selecting suitable areas for JCL cultivation under uncertainty. |
| Keywords: | Second-generation biodiesel Non-edible bioenergy feedstock Location optimization Data envelopment analysis Uncertainty |
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