Multi-Criteria Decision Making in Aviation Management
Summary
Multi-criteria decision making (MCDM) has become integral to aviation management, offering structured frameworks to navigate the increasing complexity of strategic and operational choices in a sector defined by stringent safety, financial and environmental imperatives. From the selection of hub airports and scheduling of flight networks to fleet composition and emergency response planning, decision makers must balance conflicting objectives such as cost reduction, punctuality, passenger satisfaction, regulatory compliance and carbon reduction. By decomposing problems into distinct criteria and weighting them according to stakeholder priorities, MCDM methods enable transparent, reproducible and participative decision processes. Innovations in hybrid models, fuzzy logic and sensitivity analysis have further enhanced the robustness and flexibility of these tools, allowing adaptation to uncertain data and evolving policy targets. As the industry embraces digitalisation, advanced optimisation algorithms, expert systems and sustainability metrics are increasingly integrated into decision support platforms. Such developments reinforce the global significance of MCDM in aviation, underpinning more resilient, efficient and environmentally responsible practices across network carriers, airports and emerging unmanned systems.
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Multi-Criteria Decision Making in Aviation Management publication trend
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Technical terms
Multi-Criteria Decision Making (MCDM): A structured framework for evaluating and ranking alternatives by considering multiple, often conflicting criteria.
Analytic Hierarchy Process (AHP): A pairwise comparison method that breaks decision problems into a hierarchy and derives numerical weights for criteria.
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS): A ranking method that identifies solutions closest to the ideal and farthest from the anti-ideal.
Best–Worst Method (BWM): An MCDM approach where the most and least important criteria are compared to determine objective weightings.
Hybrid MCDM: The integration of two or more decision-making techniques to leverage their complementary strengths.
Sensitivity Analysis: An assessment of how changes in model inputs, such as criterion weights, affect the ranking of alternatives.
References
- An Application of the Multiple Criteria Decision Making (MCDM) Analysis to the Selection of a New Hub Airport. European Journal of Transport and Infrastructure Research (2002).
- A decision support system for reducing the strategic risk in the schedule building process for network carrier airline operations. Annals of Operations Research (2022).
- Sensitivity Analysis of a Hybrid MCDM Model for Sustainability Assessment—An Example from the Aviation Industry. Aerospace (2023).
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