Scholarlink

<p>The main objective of this study is to introduce the Enhanced Russell Measure (ERM) model for evaluating two-stage systems producing undesirable outputs. It utilizes an external evaluation approach, which involves calculating overall system efficiency and determining individual stage efficiencies using the multiplier (dual) model after linearization. Additionally, conceptual constraints are applied to ensure that efficiency values remain within the range of 0 to 1 and that the relationship between the overall efficiency and the efficiency of the stages is maintained. It effectively overcomes the limitations of traditional models, enhancing the accuracy of efficiency analyses. When applied to data on railway systems of 22 European countries in 2016–2017, the model successfully resolves the issue of efficiency values exceeding 1, and each efficient stage identified within the ERM linear envelopment model did not require improvement. It also provides more accurate calculations of individual stage efficiencies, allowing for better comparisons of complex system performance.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Enhanced Russell Measure Model for Two-Stage Systems with Undesirable Outputs: An Envelopment-Multiplier Approach

  • 期刊论文

  • 发表日期：

    2025年12月4日

查看全文
  • Keyvan Asanimoghaddam,
  • Maziar Salahi,
  • Rita Shakouri

摘要

The main objective of this study is to introduce the Enhanced Russell Measure (ERM) model for evaluating two-stage systems producing undesirable outputs. It utilizes an external evaluation approach, which involves calculating overall system efficiency and determining individual stage efficiencies using the multiplier (dual) model after linearization. Additionally, conceptual constraints are applied to ensure that efficiency values remain within the range of 0 to 1 and that the relationship between the overall efficiency and the efficiency of the stages is maintained. It effectively overcomes the limitations of traditional models, enhancing the accuracy of efficiency analyses. When applied to data on railway systems of 22 European countries in 2016–2017, the model successfully resolves the issue of efficiency values exceeding 1, and each efficient stage identified within the ERM linear envelopment model did not require improvement. It also provides more accurate calculations of individual stage efficiencies, allowing for better comparisons of complex system performance.