article · Journal of improved oil and gas recovery technology. · 2024

Optimizing Supply Chain Efficiency Using Cross-Efficiency Analysis and Inverse DEA Models

Min Liu, Samuel D.H. Chan, Samuel D.H. Chan

Cited by 1Open access

Abstract

Our study employs cross-efficiency analysis (CEA) and machine learning techniques to optimize supply chain performance. By integrating inverse DEA models with directional distance functions, we measure operational efficiency across various decision-making units (DMUs), accounting for undesirable outputs such as excess costs and emissions. Our results indicate a 20% improvement in market recognition efficiency and a 15% increase in earnings persistence efficiency after model application. Additionally, machine learning classifiers, including Random Forest and Support Vector Machines, further enhanced predictive accuracy, with Random Forest achieving the lowest mean absolute error of 0.07. These findings underscore the effectiveness of advanced analytical models in improving supply chain resilience and decision-making accuracy, contributing to sustainable operational performance.

Cite this paper

APA 7

Liu, M., Chan, S. D., & Chan, S. D. (2024). Optimizing Supply Chain Efficiency Using Cross-Efficiency Analysis and Inverse DEA Models. Journal of improved oil and gas recovery technology., 7(5), 157–165. https://doi.org/10.53469/wjimt.2024.07(05).20

MLA 9

Liu, Min, et al. “Optimizing Supply Chain Efficiency Using Cross-Efficiency Analysis and Inverse DEA Models.” Journal of improved oil and gas recovery technology., vol. 7, no. 5, 2024, pp. 157–65, https://doi.org/10.53469/wjimt.2024.07(05).20.

Chicago

Liu, Min, Samuel D.H. Chan, and Samuel D.H. Chan. 2024. “Optimizing Supply Chain Efficiency Using Cross-Efficiency Analysis and Inverse DEA Models.” Journal of improved oil and gas recovery technology. 7 (5): 157–65. https://doi.org/10.53469/wjimt.2024.07(05).20.

Harvard

Liu, M., Chan, S.D. and Chan, S.D. (2024) ‘Optimizing Supply Chain Efficiency Using Cross-Efficiency Analysis and Inverse DEA Models’, Journal of improved oil and gas recovery technology., 7(5), pp. 157–165. Available at: https://doi.org/10.53469/wjimt.2024.07(05).20.

BibTeX

@article{liu2024optimizing,
  title = {{Optimizing Supply Chain Efficiency Using Cross-Efficiency Analysis and Inverse DEA Models}},
  author = {Liu, Min and Chan, Samuel D.H. and Chan, Samuel D.H.},
  journal = {Journal of improved oil and gas recovery technology.},
  volume = {7},
  number = {5},
  pages = {157--165},
  year = {2024},
  doi = {10.53469/wjimt.2024.07(05).20}
}

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