DEA-Based Organizational Efficiency Evaluation of Unmanned Construction in Drill-and-Blast Tunnels
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1.Yuanping Branch, CHN Energy Shuohuang Railway Development Co., Ltd.,Yuanping 034100 , China ;2.School of Civil Engineering, Central South University, Changsha 410083 , China

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U455;TU721

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    Abstract:

    To address the efficiency evaluation of organizational management in unmanned construction of drilland-blast tunnels, an evaluation system based on the super-efficiency Slack-Based Measure (SBM) model with undesirable outputs was constructed. Taking a tunnel under construction in the Xizang Autonomous Region as a case study, an evaluation index system comprising four input indicators and four output indicators was established, wherein the overbreak volume was treated as an undesirable output. The evaluation of 30 construction cycles revealed that the average efficiency value was 0.988, with 66.67% of the cycles being DEA-efficient. The sub-process scheduling time and advance distance per cycle were identified as the most critical factors influencing the organizational efficiency. Furthermore, construction cycles at different efficiency levels exhibited significant sensitivity stratification characteristics, indicating the presence of a diminishing marginal effect in efficiency improvement.

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李锐,朱春雨,雷明锋,等. 基于DEA方法的钻爆法隧道无人化施工组织效率评价研究[J]. 华东交通大学学报, 2025,42(6):31-41.

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History
  • Received:October 31,2025
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  • Adopted:
  • Online: January 15,2026
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