A stochastic programming approach for offshore flight scheduling

Bastos, Yan; Fleck, Julia L.; Martinelli, Rafael

doi:10.1016/j.ifacol.2021.04.068

Cited by 3 publications

(5 citation statements)

References 15 publications

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“…An overview of some issues pertaining to these problem contexts may be found in research (Soriano et al, 2020). Among the pool of research specific to the non-conventional and remote locations in the petroleum sector, several research papers may be noted (Hermeto, Ferreira, & Bahiense, 2014;Bastos, Fleck, & Martinelli, 2020;Vieira et al, 2021;De La Vega et al, 2022).…”

Section: Overview Of the Research Areamentioning

confidence: 99%

“…The overwhelming majority of the literature on workforce scheduling for maintenance and maintenance as a safety aspect is quite strongly divided into these two respective streams. The first (Hermeto, Ferreira, & Bahiense, 2014;Bastos, Fleck, & Martinelli, 2020;Vieira et al, 2021;De La Vega et al, 2022) focuses primarily on the tactical or operational details of employee scheduling and transport utilisation, primarily helicopters. The second focuses on the engineering details of safety, i.e., the safety system design (which corresponds to the strategic planning level).…”

Section: Overview Of the Research Areamentioning

confidence: 99%

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Employee scheduling and maintenance planning for safety systems at the remotely located oil and gas industrial facilities

Redutskiy

Balycheva²,

Dybdahl

2022

Engineering Management in Production and Services

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The safety of operations is vital in any process in the oil and gas sector, especially given that increasingly more hydrocarbon reserves are discovered in non-conventional remote and Arctic locations. Safety systems are designed as a part of a complex IT system for process control. The design of these systems is conducted in the form of an engineering project. This research presents a decision-making framework to facilitate formulating clear and comprehensive recommendations for the requirements specification developed for the safety systems. The contribution of this research to the strategic planning area of IT solutions for hazardous industrial facilities is integrating the problems of designing a safety system, planning its maintenance, and scheduling the employees to conduct the required maintenance. With this joint decision-making, it is possible to explore trade-offs between investments into the systems’ complexity and workforce-related expenditures throughout the solution’s lifecycle. The reliability modelling is conducted with the help of Markov analysis. The multi-objective decision-making framework is employed to deduce straightforward requirements to the safety system design, maintenance strategy, and workforce organisation. This research is relevant to managing the petroleum sector engineering projects with regard to the design of technological solutions.

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Section: Overview Of the Research Areamentioning

confidence: 99%

Section: Overview Of the Research Areamentioning

confidence: 99%

Employee scheduling and maintenance planning for safety systems at the remotely located oil and gas industrial facilities

Redutskiy

Balycheva²,

Dybdahl

2022

Engineering Management in Production and Services

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“…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%

“…(2016) presented a mathematical model and a clustering search metaheuristic for planning the helicopter transportation of employees to/from maritime units, while Bastos et al. (2020) applied a stochastic programming approach for offshore flight scheduling in the same company.…”

Section: Review Of Related Workmentioning

confidence: 99%

“…The planning decisions involve aerodrome locations, distribution of demand among aerodromes and fleet profile. de Alvarenga Rosa et al ( 2016) presented a mathematical model and a clustering search metaheuristic for planning the helicopter transportation of employees to/from maritime units, while Bastos et al (2020) applied a stochastic programming approach for offshore flight scheduling in the same company.…”

Section: Other Related Studies In the Context Of Oandg Companiesmentioning

confidence: 99%

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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

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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.

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VNS algorithm for the periodic pick-up and delivery helicopter routing problem in oil and gas offshore

Lubnina,

Kochetov

2024

Yugosl J Oper Rres

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In offshore field development projects, the operating and transport expenses are crucial part of the total budget. In this paper, we introduce a new helicopter routing problem with splitting demands and a time horizon. A fleet of identical helicopters with known capacity should server predefined demands to deliver employees at the offshore platforms and return other employees to depot for every day of time horizon. All routes start and finish at the depot, the length of each route cannot exceed a given threshold. Our goal is to find the routes to satisfy all demands with minimal total length. To tackle this pick-up and delivery problem, we design the MILP model and adopt the VNS-algorithm. Some hard constraints are relaxed and included into the objective function with penalties. Computational results for real-world test instances of the JV ?Vietsovpetro? Company illustrate ability for reduction the transport expenses up to 5-10%.

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A stochastic programming approach for offshore flight scheduling

Cited by 3 publications

References 15 publications

Employee scheduling and maintenance planning for safety systems at the remotely located oil and gas industrial facilities

Employee scheduling and maintenance planning for safety systems at the remotely located oil and gas industrial facilities

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

VNS algorithm for the periodic pick-up and delivery helicopter routing problem in oil and gas offshore

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