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AHP-Entropy based priority assessment of factors to reduce aviation fuel consumption

Author

Listed:
  • Jagroop Singh

    (National Institute of Technology)

  • Somesh Kumar Sharma

    (National Institute of Technology)

  • Rajnish Srivastava

    (MNIT)

Abstract

ABSTRACT With the projected air traffic growth, aviation fuel needs will grow by 3% globally per year. Considering this, aviation industry has set ambitious goals to enhance its fuel efficiency. This study presents an integrated framework for aviation fuel consumption reduction, which will also limit its CO2 emissions. Further, this research aims to categorize influential factors and examine their relative importance for fuel-efficient aviation. This study’s theoretical framework combines and reconciles eight major areas: alternative jet fuels, aviation infrastructure, aircraft operations, socio-ecopolitical environment, aircraft design, technology, environmental uncertainty, and strategic changes. In all, 37 sub-factors were identified. The priority ratings of these sub-factors with respect to ‘aviation fuel consumption reduction’ objective is measured by hybrid analytical hierarchy process-entropy method, using pair-wise comparison matrices. The findings attributed the highest importance to ‘technological innovations’, followed by ‘aircraft design’ and ‘aircraft operations’ for saving aviation fuel. Based on the obtained ranking ‘engine design’, ‘laminar flow technology’, and ‘air traffic management technology’ emerged as the three most important sub-factors. The robustness of priority rankings has been tested using sensitivity analysis. This study shows the path for continuous improvement in aviation fuel efficiency by directing efforts and investments on highly important factors.

Suggested Citation

  • Jagroop Singh & Somesh Kumar Sharma & Rajnish Srivastava, 2019. "AHP-Entropy based priority assessment of factors to reduce aviation fuel consumption," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(2), pages 212-227, April.
    • Handle: RePEc:spr:ijsaem:v:10:y:2019:i:2:d:10.1007_s13198-019-00758-0
    DOI: 10.1007/s13198-019-00758-0
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    Cited by:

    1. Lourdes Rivero Gutiérrez & María Auxiliadora De Vicente Oliva & Alberto Romero-Ania, 2021. "Managing Sustainable Urban Public Transport Systems: An AHP Multicriteria Decision Model," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
    2. Mehdi Salimi & Mahboubeh Khodaparast, 2019. "Providing a combined model of fuzzy AHP and numerical taxonomy analysis for sport organizational ranking and performance appraisal," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(5), pages 1133-1144, October.
    3. Sandeep Singh & Jaimal Singh Khamba & Davinder Singh, 2023. "Study of energy-efficient attributes of overall equipment effectiveness in Indian sugar mill industries through analytical hierarchy process (AHP)," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 374-384, March.

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