Academic Journal

Helicopter recovery in an oil and gas industry: Model and solution approaches

التفاصيل البيبلوغرافية
العنوان: Helicopter recovery in an oil and gas industry: Model and solution approaches
المؤلفون: Jonathan De La Vega, Thiago Vieira, Mateus Santana, Vitória Pureza, Reinaldo Morabito, Roberto Tavares, Yan Bastos, Paulo César Ribas
المصدر: EURO Journal on Transportation and Logistics, Vol 11, Iss , Pp 100084- (2022)
بيانات النشر: Elsevier, 2022.
سنة النشر: 2022
المجموعة: LCC:Transportation engineering
مصطلحات موضوعية: Aircraft recovery problem, Flight rescheduling, Mixed integer programming, Heuristics, Oil and gas industry, Transportation engineering, TA1001-1280
الوصف: Although optimization techniques have been successfully applied for a number of airline operations, aircraft recovery remains a challenge for both practitioners and researchers due to its complexity and the usual need of a quick response in practical settings. In this paper, we consider the case of a Brazilian oil and gas company that uses a heterogeneous fleet of helicopters for passenger transportation from a few mainland aerodromes to maritime units. The major difficulties in rescheduling delayed flights are resource limitations and realistic features of the company combined with safety and management practices. The problem consists of determining joint daily flight reschedules for all aerodromes that satisfy operational constraints and recovers all pending flights, while minimizing flight transfers among aerodromes, usage of helicopters and overall flight delays. We propose a mixed integer programming (MIP) model, aiming to appropriately represent the problem, and MIP-based local search and two-phase heuristics to cope with larger realistic problem instances. Computational results obtained with instances collected in the case study show the potential of these approaches to deal with this real-life aircraft recovery problem.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2192-4384
Relation: http://www.sciencedirect.com/science/article/pii/S2192437622000115; https://doaj.org/toc/2192-4384
DOI: 10.1016/j.ejtl.2022.100084
URL الوصول: https://doaj.org/article/ccc3dc9bc27f443480176a6e08d8b6fb
رقم الانضمام: edsdoj.3dc9bc27f443480176a6e08d8b6fb
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:21924384
DOI:10.1016/j.ejtl.2022.100084