Contributed Session Fri.1.MA 042

Friday, 10:30 - 12:00 h, Room: MA 042

Cluster 13: Logistics, traffic, and transportation [...]

Disruption management


Chair: Stephen John Maher



Friday, 10:30 - 10:55 h, Room: MA 042, Talk 1

Stephen John Maher
Integrated airline recovery problem on a minimal disruption neighbourhood


The airline recovery problem is a very complex process involving a number of stages in the operations control centre. In an effort to reduce the size of the recovery problem a disruption neighbourhood is defined, generally in a preprocessing step, to determine the disruptable resources. While this reduces the problem size and improves tractability, there is a tradeoff with the final solution quality. We propose a model that aims to solve the integrated crew and aircraft recovery problem on a minimal disruption neighbourhood. As a result we attempt to provide a solution to the operations controller that requires the least amount of disruptable aircraft and crew at a minimal cost in the recovery process.



Friday, 11:00 - 11:25 h, Room: MA 042, Talk 2

Kazuhiro Kobayashi
Alternative objective functions in ship scheduling for managing supply chain disruption risk


To gain cost advantages, many shipping companies generate ship schedules which minimizes transportation cost. There are effective in a stable environment. However, there are vulnerable to supply chain disruptions caused by uncertain economic crisis, natural and man-made disasters. Effectively responding to such disruption risk is of crucial importance for continuing business activities. For this purpose, it is necessary to generate ship schedules which result in quick and sufficient distribution of supplies, with a focus on equitable service to all locations concerting the disruptions. However, quantifying such goals can be challenging. In this work, we introduce alternate objectives in ship scheduling problem which are different from the one minimizing transportation costs. Moreover, we show how these objective functions affect the ship schedules.



Friday, 11:30 - 11:55 h, Room: MA 042, Talk 3

Lucian Ionescu
Stochastic optimization models for airline resource schedules under disruptions

Coauthor: Natalia Kliewer


In this talk we compare two stochastic models considering the robustness and cost-efficiency of airline resource schedules. The first model deals with the delay absorbing capacity of schedules, the second with the recoverability during operations. These two aspects can be called stability and flexibility. Both models are solved by a branch-and-price&cut-algorithm. The resulting schedules are evaluated by an event-based simulation including a delay propagation model and a rule-based recovery approach. This enables us to identify possible mutual impacts, e.g., if stable schedules still offer the same degree of swap opportunities for operational recovery and vice versa.
The presented analysis is a pre-step to an integrated stochastic approach for considering both stability and flexibility aspects at the same time during scheduling.


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