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The Airport Gate Assignment Problem (AGAP) is a critical aspect of airport operations, involving the assignment of gates to incoming and outgoing flights. In this study, we model the AGAP as a multi-objective optimization problem, addressing the conflicting preferences of key stakeholders: passengers, airlines, and airport management. Each stakeholder has distinct gate preferences, creating challenges in balancing their competing objectives. To address these challenges, we develop Mixed Integer Programming (MIP) models, incorporating both assignment-based and time-tabling-based approaches. The solution process leverages Goal Programming techniques, including Weighted Goal Programming, Tchebychev Goal Programming, and Lexicographic Goal Programming. The models are implemented and solved using IBM ILOG CPLEX Version 12.0, providing a robust framework for optimizing gate assignments while considering the complex trade-offs between stakeholder preferences. Our results offer insights into the effectiveness of these techniques in resolving conflicts and achieving an optimal balance in gate assignments.

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Resolving Stakeholder Conflicts in Airport Gate Assignment: A Multi-objective Approach with Goal Programming and MIP Models

  • 会议论文

  • 发表日期：

    2025年

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  • Mert Paldrak,
  • Gamze Erdem,
  • Melis Tan Tacoğlu,
  • Mustafa Arslan Örnek

摘要

The Airport Gate Assignment Problem (AGAP) is a critical aspect of airport operations, involving the assignment of gates to incoming and outgoing flights. In this study, we model the AGAP as a multi-objective optimization problem, addressing the conflicting preferences of key stakeholders: passengers, airlines, and airport management. Each stakeholder has distinct gate preferences, creating challenges in balancing their competing objectives. To address these challenges, we develop Mixed Integer Programming (MIP) models, incorporating both assignment-based and time-tabling-based approaches. The solution process leverages Goal Programming techniques, including Weighted Goal Programming, Tchebychev Goal Programming, and Lexicographic Goal Programming. The models are implemented and solved using IBM ILOG CPLEX Version 12.0, providing a robust framework for optimizing gate assignments while considering the complex trade-offs between stakeholder preferences. Our results offer insights into the effectiveness of these techniques in resolving conflicts and achieving an optimal balance in gate assignments.