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Passengers rescheduling to minimise check-in time and conveyor belt degradation.

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Title: Passengers rescheduling to minimise check-in time and conveyor belt degradation.
Authors: Schmitt, Julia1 (AUTHOR), Tighazoui, Ayoub1 (AUTHOR) ayoub.tighazoui@unistra.fr, Hajej, Zied2 (AUTHOR), Rose, Bertrand1 (AUTHOR)
Source: International Journal of Production Research. Oct2025, Vol. 63 Issue 20, p7405-7426. 22p.
Subject Terms: *AIRPORT management, *QUEUING theory, *PROCESS optimization, *AIR travel, *DYNAMIC programming, MIXED integer linear programming, DURABILITY, CONVEYOR belts
Abstract: With the resurgence of air travel post-COVID-19, airports face increasing challenges in managing check-in operations efficiently while ensuring the longevity of critical equipment. This study presents a novel approach to passenger rescheduling that minimises total check-in time and reduces conveyor belt degradation. The problem is formulated as a Parallel Machine Rescheduling Problem (PMRP), addressed through a two-phase solution. In the first phase, a Mixed-Integer Linear Programming (MILP) model optimally assigns passengers to check-in counters, focusing on initial efficiency. In the second phase, dynamic optimisation heuristic reallocates passengers as they arrive, minimising wait times and balancing the load on conveyors based on baggage weights. Experimental results demonstrate that the proposed method achieves significant improvements in both operational efficiency and conveyor belt durability, outperforming traditional FIFO and Greedy Algorithm. By integrating maintenance considerations into passenger scheduling and introducing a robust predictive-reactive strategy, this research provides practical tools for airports to enhance operational resilience and infrastructure sustainability. [ABSTRACT FROM AUTHOR]
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Database: Business Source Index
Description
Abstract:With the resurgence of air travel post-COVID-19, airports face increasing challenges in managing check-in operations efficiently while ensuring the longevity of critical equipment. This study presents a novel approach to passenger rescheduling that minimises total check-in time and reduces conveyor belt degradation. The problem is formulated as a Parallel Machine Rescheduling Problem (PMRP), addressed through a two-phase solution. In the first phase, a Mixed-Integer Linear Programming (MILP) model optimally assigns passengers to check-in counters, focusing on initial efficiency. In the second phase, dynamic optimisation heuristic reallocates passengers as they arrive, minimising wait times and balancing the load on conveyors based on baggage weights. Experimental results demonstrate that the proposed method achieves significant improvements in both operational efficiency and conveyor belt durability, outperforming traditional FIFO and Greedy Algorithm. By integrating maintenance considerations into passenger scheduling and introducing a robust predictive-reactive strategy, this research provides practical tools for airports to enhance operational resilience and infrastructure sustainability. [ABSTRACT FROM AUTHOR]
ISSN:00207543
DOI:10.1080/00207543.2025.2497956