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Network science approach for identifying disruptive elements of an airline

Chauhan, Vinod Kumar; Ledwoch, Anna; Brintrup, Alexandra; … - In: Data science and management : DSM 6 (2023) 2, pp. 110-121

Currently, flight delays are common and they propagate from an originating flight to connecting flights, leading to large disruptions in the overall schedule. These disruptions cause massive economic losses, affect airlines' reputations, waste passengers' time and money, and directly impact the...

Persistent link: https://www.econbiz.de/10014518007

A fuzzy logic-based algorithm to solve the slot planning problem in container vessels

Rashed, Dalia; Eltawil, Amr; Gheith, Mohamed - In: Logistics 5 (2021) 4, pp. 1-24

container terminal efficiency. Methods: In this paper, an approach combining a rule-based fuzzy logic algorithm with a rule …-based search algorithm is developed to solve the slot planning problem. The rules in the proposed fuzzy logic algorithm aim at … planning instances illustrate the efficiency and effectiveness of the proposed algorithm. Conclusions: The results show that …

Persistent link: https://www.econbiz.de/10012661315

A waste collection problem with service type option

Gläser, Sina - 2021

solution algorithm for a related waste collection problem seen in the literature, which can be seen as a special case of the …

Persistent link: https://www.econbiz.de/10012793356

Maximization of container slot booking profits for carriers in the liner shipping industry

Guo, Yu; Yan, Ran; Wang, Shuaian - In: Journal of shipping and trade 6 (2021), pp. 1-10

In the liner shipping industry, if a shipper wants to transport its cargo by container ships, it first needs to contact a carrier to book container slots based on the estimated transportation demand. However, one problem in the booking process is that the actual demand is uncertain, resulting in...

Persistent link: https://www.econbiz.de/10012807760

Integrated optimization of sequential processes : general analysis and application to public transport

Schiewe, Philine; Schöbel, Anita - In: EURO journal on transportation and logistics 11 (2022), pp. 1-15

Planning in public transportation is traditionally done in a sequential process: After the network design process, the lines and their frequencies are planned. When these are fixed, a timetable is determined and based on the timetable, the vehicle and crew schedules are optimized. After each...

Persistent link: https://www.econbiz.de/10013502396

Timetable merging for the Periodic Event Scheduling Problem

Lindner, Niels; Liebchen, Christian - In: EURO journal on transportation and logistics 11 (2022), pp. 1-9

We propose a new mixed integer programming based heuristic for computing new benchmark primal solutions for instances of the PESPlib. The PESPlib is a collection of instances for the Periodic Event Scheduling Problem (PESP), comprising periodic timetabling problems inspired by real-world railway...

Persistent link: https://www.econbiz.de/10013502619

A green location-inventory-routing optimization model with simultaneous pickup and delivery under disruption risks

Nasiri, Mohammad Mahdi; Mousavi, Hossein; … - In: Decision analytics journal 6 (2023), pp. 1-10

using a simulation algorithm, and these problems investigate the effectiveness of the developed optimization model. Finally …

Persistent link: https://www.econbiz.de/10014505384

Analyzing airline fleet resilience using the disruption funnel framework

Elhamy, H. A.; Eltawil, A. B. - In: Logistics 9 (2025) 1, pp. 1-23

Background: Defining the optimal fleet portfolio is a crucial process in airline planning. The published efforts in literature provide ways to anticipate the disruption effects on the passenger demand; however, the proposed solution in this paper provides visibility on the impact of sustainable...

Persistent link: https://www.econbiz.de/10015337476

Introduction to the special issue on combining optimization and machine learning : application in vehicle routing, network design and crew scheduling

Archetti, Claudia; Cordeau, Jean-François; Desaulniers, Guy - In: EURO journal on transportation and logistics 9 (2020) 4, pp. 1-2

Persistent link: https://www.econbiz.de/10012390917

Special issue on combining optimization and machine learning: applications in vehicle routing, network design and crew scheduling

Feillet, Dominique - 2020

Persistent link: https://www.econbiz.de/10012390939