[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1750":3,"related-1750":68},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":18,"tags":20,"primary_topic":9,"secondary_topics":22,"classification":23,"search_phrases":38,"slug":39,"view_count":15,"doi":40,"paper":41,"created_at":67},1750,"Strategic Procurement Prioritization for Sustainable Aviation Fuel: An Integrated Pythagorean Fuzzy SWARA–RAM Decision Support Framework","https:\u002F\u002Fdoi.org\u002F10.31181\u002Fsems41202692","The transition toward sustainable aviation fuel (SAF) has become a strategic priority for commercial airlines seeking to reduce aviation-related emissions while maintaining secure and economically viable fuel procurement. However, procurement decisions remain challenging because airlines must simultaneously balance environmental objectives, supply security, economic feasibility, operational considerations, and evolving policy requirements under substantial uncertainty. Existing studies primarily focus on technological production pathways or policy issues, whereas systematic evaluations of alternative SAF procurement strategies from an airline procurement perspective remain limited. This study develops an integrated multi-criteria decision support framework to prioritize sustainable aviation fuel procurement strategies for commercial airlines under uncertainty. The proposed framework combines Pythagorean fuzzy sets, Stepwise Weight Assessment Ratio Analysis (SWARA), and the Reliability, Availability and Maintainability (RAM) method to represent uncertainty in expert judgments, determine the relative importance of evaluation criteria, and prioritize procurement alternatives. The findings indicate that lifecycle carbon reduction potential and local emission reduction are the highest-priority evaluation criteria, while partnership or investment in SAF production facilities represents the highest-ranked procurement strategy according to the participating experts, with comparative analysis using the COPRAS method confirming the consistency of the ranking results. The proposed framework provides structured decision support for strategic procurement planning by integrating environmental, economic, operational, and geopolitical considerations, offering expert-informed guidance for airline procurement managers and a foundation for future studies incorporating operational and market-based evidence.","向可持续航空燃料（SAF）的转型已成为商业航空公司的战略优先事项，其目标是在保障燃料采购安全且经济可行的同时，减少航空相关排放。然而，采购决策仍面临挑战，因为航空公司必须在高度不确定性下同时平衡环境目标、供应安全、经济可行性、运营考量以及不断演变的政策要求。现有研究主要聚焦于技术生产路径或政策问题，而从航空公司采购视角对替代性SAF采购策略进行系统评估的研究仍然有限。本研究构建了一个集成式多准则决策支持框架，用于在不确定性条件下对商业航空公司的可持续航空燃料采购策略进行优先级排序。该框架结合了毕达哥拉斯模糊集（Pythagorean fuzzy sets）、逐步权重评估比率分析法（SWARA）以及可靠性、可用性和可维护性（RAM）方法，以表征专家判断中的不确定性、确定评估准则的相对重要性，并对采购备选方案进行优先级排序。研究结果表明，全生命周期碳减排潜力和本地减排是优先级最高的评估准则，而参与或投资SAF生产设施在参与专家评价中位列最高优先级的采购策略，采用COPRAS方法进行的比较分析验证了排序结果的一致性。该框架通过整合环境、经济、运营和地缘政治因素，为战略采购规划提供了结构化的决策支持，为航空公司采购管理者提供了基于专家意见的指导，并为未来纳入运营及市场实证证据的研究奠定了基础。",null,"Spectrum of Engineering and Management Sciences","2026-09-03T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"主题为航空燃料采购决策，与三农、农业信息化等领域无关。",[19],{"name":10,"url":6},[21],"可持续航空燃料",[],{"status":24,"locked":14,"version":25,"method":26,"evidence":27},"needs_review","2026-10-22.2","rules",{"candidates":28,"agricultural_evidence":14,"reason":37},[29],{"code":30,"score":31,"supported":32,"title":33,"abstract":35,"tags":36},"I2",11,true,[34],"decision support",[34],[],"农业相关性需要复核",[],"StrategicProcurementPrioritizationforSus-1750","10.31181\u002Fsems41202692",{"doi":40,"openalex_id":42,"authors":43,"venue":10,"cited_by_count":15,"oa_url":59,"card":60,"direction":64,"ingested_from":66},"W7207740173",[44,47,50,53,56],{"name":45,"orcid":46},"Serhat Yüksel","https:\u002F\u002Forcid.org\u002F0009-0004-5832-8831",{"name":48,"orcid":49},"Fatih Karaman","https:\u002F\u002Forcid.org\u002F0009-0006-5002-5195",{"name":51,"orcid":52},"Serkan Eti","https:\u002F\u002Forcid.org\u002F0000-0002-4791-4091",{"name":54,"orcid":55},"Hasan Dınçer","https:\u002F\u002Forcid.org\u002F0000-0002-8072-031X",{"name":57,"orcid":58},"Edanur Ergün","https:\u002F\u002Forcid.org\u002F0000-0003-2212-287X","https:\u002F\u002Fsems-journal.org\u002Findex.php\u002Fsems\u002Farticle\u002Fdownload\u002F92\u002F86",{"tldr":61,"method":62,"finding":63,"direction":64,"opportunity":65},"构建多准则决策框架，优先排序航空公司可持续航空燃料采购策略。","结合毕达哥拉斯模糊集、SWARA和RAM方法处理不确定性并排序。","碳减排潜力最重要，投资SAF生产设施是最优策略。","农业人工智能与决策模型","可将此决策框架应用于农业部门，评估可持续农业投入品或技术的采购优先级。","openalex","2026-09-05T23:30:48.820791Z",{"total":15,"page":69,"page_size":69,"items":70},1,[]]