Version 1
: Received: 25 June 2023 / Approved: 26 June 2023 / Online: 26 June 2023 (10:05:50 CEST)
How to cite:
Lai, H.; Hsieh, W. Combining Novel Integration and the DEA Technique to Compute Dredging Productivity. Preprints2023, 2023061781. https://doi.org/10.20944/preprints202306.1781.v1
Lai, H.; Hsieh, W. Combining Novel Integration and the DEA Technique to Compute Dredging Productivity. Preprints 2023, 2023061781. https://doi.org/10.20944/preprints202306.1781.v1
Lai, H.; Hsieh, W. Combining Novel Integration and the DEA Technique to Compute Dredging Productivity. Preprints2023, 2023061781. https://doi.org/10.20944/preprints202306.1781.v1
APA Style
Lai, H., & Hsieh, W. (2023). Combining Novel Integration and the DEA Technique to Compute Dredging Productivity. Preprints. https://doi.org/10.20944/preprints202306.1781.v1
Chicago/Turabian Style
Lai, H. and Wen-Ying Hsieh. 2023 "Combining Novel Integration and the DEA Technique to Compute Dredging Productivity" Preprints. https://doi.org/10.20944/preprints202306.1781.v1
Abstract
Construction productivity entails a wide range of work combinations. When human resources are scarce, it is critical to replace manpower with machinery, and calculating machinery productivity is crucial. Traditional labor productivity methods, however, cannot address dredging complex multi-attribute decision-making (MADM) problems. Aiming to address the limitations of the traditional labor productivity method, this paper extends the data envelopment analysis (DEA) and proposes a new dredging productivity evaluation method. The proposed method can solve the problem of evaluating various combinations of factors (single-input, multiple-input, sin-gle-output, and multiple-output) and the problem suggesting that the efficiency of the DEA method'scalculation results is equal to 1. The effectiveness of the proposed method was verified using reservoir dredging examples. The simulation results show that the proposed method has broad applicability, can accurately evaluate the related dredging performance issues, and provide directions for construction managers to improve labor productivity.
Keywords
dredging productivity; data envelopment analysis
Subject
Engineering, Other
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
