Helicopter routing model with non-deterministic failure rate for evacuation of multiple oil platforms

Caballero‐Morales, Santiago‐Omar; Martínez‐Flores, José‐Luis

doi:10.1016/j.cie.2019.01.043

Cited by 8 publications

(3 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are some reports on the control of helicopter operations and optimization of crew transportation in the context of O&G companies offshore, such as in the North Sea and Norwegian Sea (Sierksma and Tissen, 1998; Qian et al., 2011, 2012, 2015; Nafstad et al., 2021), Nigeria (Fiala Timlin and Pulleyblank, 1992), Mexico (Romero et al., 2007; Caballero‐Morales and Martinez‐Flores, 2020), the Persian Gulf (Abbasi‐Pooya and Husseinzadeh Kashan, 2017), and Brazil (Galvão and Guimarães, 1990; Moreno et al., 2006; Menezes et al., 2010; Hermeto et al., 2014; de Alvarenga Rosa et al., 2016; Bastos et al., 2020).…”

Section: Review Of Related Workmentioning

confidence: 99%

“…Related studies in O&G companies in Mexico are found, for example, in Romero et al. (2007), in which a genetic algorithm was proposed for the pickup and delivery problem that arises in the helicopter offshore transportation, and Caballero‐Morales and Martinez‐Flores (2020), where a helicopter routing problem with nondeterministic failure for evacuation of maritime units was described. Galvão and Guimarães (1990) presented a heuristic solution for routing transportation requests to maritime units of a Brazilian O&G company and described a decision support system that applies the heuristic.…”

Section: Review Of Related Workmentioning

confidence: 99%

“…In the operational decision level, the planning horizon consists of a few days, or even one day. Examples include short‐term flight rescheduling, aircraft routing and recovery, crew scheduling and recovery, passenger recovery, among others (Hermeto et al., 2014; Caballero‐Morales and Martinez‐Flores, 2020).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Model‐based solution approach for a short‐term flight rescheduling problem in aerial passenger transportation to maritime units

Vega

Santana

Pureza

et al. 2021

Int Trans Operational Res

View full text Add to dashboard Cite

This paper addresses the problem faced by a Brazilian oil and gas company of recovering flights for passenger transportation (mainly teams of employees) to maritime units. Due to unexpected events such as bad weather or aircraft mechanical failures, the original timetable very often cannot be fully met, resulting in flight delays on the same day or even postponements to the following days. As a result, the operation of the maritime units and the scheduling of employee shifts are affected to some extent. Based on a case study conducted at the company, we present a detailed continuous-time mixed-integer programming model that aims to include pending flights in the daily scheduling of an aerodrome with a minimum overall delay and usage of aircraft (helicopters), subject to flights with different rescheduling priorities, aerodrome and aircraft time windows, single runways at the aerodrome and single landing spots at each maritime unit, postponement and shift regulations, heterogeneous fleet of helicopters, mandatory stops for the crew to rest and have lunch, among others. We also present a discrete-time simplification of the former model and some simple solution approaches based on these models in order to cope with larger problem instances. The approach performance is assessed using real-life problem instances whose data were collected in the case study, using a general-purpose optimization software. The results show the potential of these approaches in dealing with this short-term flight rescheduling problem.

show abstract