Sathiyaraj Chinnasamy, M Ramachandran, C. Raja, Chinnasami Sivaji
{"title":"基于WASPAS方法的可持续航空燃料生产技术战略评估","authors":"Sathiyaraj Chinnasamy, M Ramachandran, C. Raja, Chinnasami Sivaji","doi":"10.46632/aae/1/1/5","DOIUrl":null,"url":null,"abstract":"In the last 25 years, the amount of international passenger air traffic has tripled, and it is anticipated that this rapid growth will continue in the upcoming 25 years. Although it has significant economic advantages, the expansion of the aviation sector may also have more negative social and environmental effects. “Sustainable aviation policy\" is created as a \"balanced plan\" to address this. While highlighting the financial advantages of the aviation industry, it seeks to address the significant environmental effects of its expansion. This definition of \"sustainable aviation\" is contested by other organizations, because there is little consensus among nongovernmental Organizations and the aviation sector. “Standard aviation policy\" is therefore in dispute, and several parties attempt to change it to suit their own objectives. In order to build policies for sustainable aviation, competing environmental discourses were identified and examined through a classification exercise assisted by rhetorical, stylistic, and thematic analysis. An approach for making judgments involving multiple attributes, which ensures the consistency requirements of each reciprocal matrix, is the Analytical Hierarchy Process (AHP). Recently, a new method called the Weighted Aggregates Sum Product Assessment System (WASPAS) has been introduced in the literature. WASPAS combines the principles of the weighted product sum and basic aggregate weighting techniques. Linguistic assessments are typically chosen as in decision-making matrix when there is uncertainty and ambiguity. As a result, the purpose of this study is to synthesis WASPAS approaches and adds to the literature. The challenge of outsourcing producer evaluation and selection is resolved using the suggested approach. The options available are HEFA_SO, HEFA_YG, VB_Stover, VB_Pine, ATJ_Stover, ATJ_Pine, DSHC_Stover, DSHC_Pine, FP_Stover, FP_Pine, GFT_Stover, and GFT_Pine. The criteria used for evaluation are TCI (Total Capital Investment in MM$), OPEX (Operating Expenses in MM$), MFSP ($ L− 1) (Minimum Fuel Selling Price in dollars per liter), and MFSP ($ Mg− 1) (Minimum Fuel Selling Price in dollars per mega gram).","PeriodicalId":294140,"journal":{"name":"Aeronautical and Aerospace Engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Strategic Assessment of Sustainable Aviation Fuel Production Technologies Using WASPAS Method\",\"authors\":\"Sathiyaraj Chinnasamy, M Ramachandran, C. Raja, Chinnasami Sivaji\",\"doi\":\"10.46632/aae/1/1/5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the last 25 years, the amount of international passenger air traffic has tripled, and it is anticipated that this rapid growth will continue in the upcoming 25 years. Although it has significant economic advantages, the expansion of the aviation sector may also have more negative social and environmental effects. “Sustainable aviation policy\\\" is created as a \\\"balanced plan\\\" to address this. While highlighting the financial advantages of the aviation industry, it seeks to address the significant environmental effects of its expansion. This definition of \\\"sustainable aviation\\\" is contested by other organizations, because there is little consensus among nongovernmental Organizations and the aviation sector. “Standard aviation policy\\\" is therefore in dispute, and several parties attempt to change it to suit their own objectives. In order to build policies for sustainable aviation, competing environmental discourses were identified and examined through a classification exercise assisted by rhetorical, stylistic, and thematic analysis. An approach for making judgments involving multiple attributes, which ensures the consistency requirements of each reciprocal matrix, is the Analytical Hierarchy Process (AHP). Recently, a new method called the Weighted Aggregates Sum Product Assessment System (WASPAS) has been introduced in the literature. WASPAS combines the principles of the weighted product sum and basic aggregate weighting techniques. Linguistic assessments are typically chosen as in decision-making matrix when there is uncertainty and ambiguity. As a result, the purpose of this study is to synthesis WASPAS approaches and adds to the literature. The challenge of outsourcing producer evaluation and selection is resolved using the suggested approach. The options available are HEFA_SO, HEFA_YG, VB_Stover, VB_Pine, ATJ_Stover, ATJ_Pine, DSHC_Stover, DSHC_Pine, FP_Stover, FP_Pine, GFT_Stover, and GFT_Pine. The criteria used for evaluation are TCI (Total Capital Investment in MM$), OPEX (Operating Expenses in MM$), MFSP ($ L− 1) (Minimum Fuel Selling Price in dollars per liter), and MFSP ($ Mg− 1) (Minimum Fuel Selling Price in dollars per mega gram).\",\"PeriodicalId\":294140,\"journal\":{\"name\":\"Aeronautical and Aerospace Engineering\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aeronautical and Aerospace Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46632/aae/1/1/5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aeronautical and Aerospace Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46632/aae/1/1/5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Strategic Assessment of Sustainable Aviation Fuel Production Technologies Using WASPAS Method
In the last 25 years, the amount of international passenger air traffic has tripled, and it is anticipated that this rapid growth will continue in the upcoming 25 years. Although it has significant economic advantages, the expansion of the aviation sector may also have more negative social and environmental effects. “Sustainable aviation policy" is created as a "balanced plan" to address this. While highlighting the financial advantages of the aviation industry, it seeks to address the significant environmental effects of its expansion. This definition of "sustainable aviation" is contested by other organizations, because there is little consensus among nongovernmental Organizations and the aviation sector. “Standard aviation policy" is therefore in dispute, and several parties attempt to change it to suit their own objectives. In order to build policies for sustainable aviation, competing environmental discourses were identified and examined through a classification exercise assisted by rhetorical, stylistic, and thematic analysis. An approach for making judgments involving multiple attributes, which ensures the consistency requirements of each reciprocal matrix, is the Analytical Hierarchy Process (AHP). Recently, a new method called the Weighted Aggregates Sum Product Assessment System (WASPAS) has been introduced in the literature. WASPAS combines the principles of the weighted product sum and basic aggregate weighting techniques. Linguistic assessments are typically chosen as in decision-making matrix when there is uncertainty and ambiguity. As a result, the purpose of this study is to synthesis WASPAS approaches and adds to the literature. The challenge of outsourcing producer evaluation and selection is resolved using the suggested approach. The options available are HEFA_SO, HEFA_YG, VB_Stover, VB_Pine, ATJ_Stover, ATJ_Pine, DSHC_Stover, DSHC_Pine, FP_Stover, FP_Pine, GFT_Stover, and GFT_Pine. The criteria used for evaluation are TCI (Total Capital Investment in MM$), OPEX (Operating Expenses in MM$), MFSP ($ L− 1) (Minimum Fuel Selling Price in dollars per liter), and MFSP ($ Mg− 1) (Minimum Fuel Selling Price in dollars per mega gram).