Lin Sheng-Wei, Lo Huai-Wei
Department of Financial Management, National Defense University, No. 70, Section 2, Zhongyang North Road, Beitou, Taipei 112 Taiwan.
Department of Industrial Engineering and Management, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin 64002 Taiwan.
Ann Oper Res. 2023 Mar 6:1-27. doi: 10.1007/s10479-023-05250-4.
It is necessary to emphasize both the process and results of performance management to find the balance between quality and quantity needed to ensure the sustainable development of universities to make the best use of limited educational resources and meet the diverse needs of students. This study applies failure mode and effects analysis (FMEA) to analyze obstacles to university sustainability by constructing complete risk assessment modes and reference indicators. The neutrosophic set theory was incorporated into the FMEA to account for information uncertainty and asymmetry. A specialist team then evaluated the importance of the risk factors using neutrosophic indifference threshold-based attribute ratio analysis to determine objective weights for the risk factors. Furthermore, the neutrosophic technique for order preference by similarity to the ideal solution based on aspiration level (N-TOPSIS-AL) is employed to aggregate the total risk scores of the failure modes. Using neutrosophic sets to measure truth, falsity, and indeterminacy in the assessment significantly improve the adaptability of the fuzzy theory to real-world problems. The study results indicate that when assessing university affairs management and analyzing possible risks, priority must be given to the occurrence of risks and that the lack of educational facilities is the riskiest item in the specialist assessment. The proposed assessment model can be applied as a basis for university sustainability assessments to accelerate the development of other forward-looking approaches.
有必要同时强调绩效管理的过程和结果,以在质量和数量之间找到平衡,这对于确保大学的可持续发展、充分利用有限的教育资源以及满足学生的多样化需求至关重要。本研究应用失效模式与效应分析(FMEA),通过构建完整的风险评估模式和参考指标来分析大学可持续发展的障碍。将中立型集理论纳入FMEA,以处理信息的不确定性和不对称性。然后,一个专家团队使用基于中立型无差异阈值的属性比率分析来评估风险因素的重要性,从而确定风险因素的客观权重。此外,采用基于期望水平的中立型理想解排序法(N-TOPSIS-AL)来汇总失效模式的总风险得分。使用中立型集来衡量评估中的真、假和不确定性,显著提高了模糊理论对现实世界问题的适应性。研究结果表明,在评估大学事务管理和分析可能的风险时,必须优先考虑风险的发生情况,并且在专家评估中,教育设施的缺乏是风险最高的项目。所提出的评估模型可作为大学可持续发展评估的基础,以加速其他前瞻性方法的发展。