Logistics network planning for offshore air transport of oil rig crews

Hermeto, Nathália da Silva Sena; Filho, Virgílio José Martins Ferreira; Bahiense, Laura

doi:10.1016/j.cie.2014.05.021

Cited by 21 publications

(13 citation statements)

References 15 publications

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“…A demand is defined as covered if one or more facilities are located within the maximum distance or time standard. Other authors (Caprì et al;Costa et al, 2014;Drezner and Hamacher, 2004;Hermeto et al, 2014;Farahani and Hekmatfar, 2009) proposed algorithms and models for the localization problems. This paper covers the classical LSCP, requiring that each demand is covered at least once.…”

Section: Methodology For the Evaluation Of The Intervention Priorities: Use Of Gis And Linear Programmingmentioning

confidence: 99%

Heliport network planning through OR methods and use of GIS

Maritano

Amoroso

Castelluccio

2016

Aircraft Eng & Aerospace Tech

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Purpose -The purpose of the study is to modify the plan of a network of heliport for HEMS, civil protection and transport proposed by the regional government through the combined use of linear programming and GIS techniques. Design/methodology/approach -The methodology used for the evaluation is based on the application of a set covering model. Findings -An optimal solution was obtained that allows savings in relation to the plan proposed by the regional government by ensuring the best coverage of the whole territory. Research limitations/implications -This research is limited by the field of application and the weaknesses of the linear programming techniques. However, it could be the first step for further works that will include more accurate models. Practical implications -The study suggests the reorganization of the network of heliports; this would be a fundamental step to improve the services supplied by the helicopters, such as HEMS, civil protection, SAR, aerial work, firefighting and transport, especially in a region characterized by a poor accessibility. Originality/value -This is the first study on the application of the combined use of open-source GIS software and OR methods for planning a heliport network.

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Section: Methodology For the Evaluation Of The Intervention Priorities: Use Of Gis And Linear Programmingmentioning

confidence: 99%

Heliport network planning through OR methods and use of GIS

Maritano

Amoroso

Castelluccio

2016

Aircraft Eng & Aerospace Tech

View full text Add to dashboard Cite

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“…The research emphasized the use of constraints, cuts and heuristics to reduce the overall quantity of variables and constraints within the problem to enhance solvability. Hermeto et al (2014) performed analyses aimed at optimizing airfield locations, distribution of demand among airfields and fleet composition within the Campos and Santos basins, which are located off the coast of Brazil. The research emphasized the importance of using helicopter capacity, seat and total weight, to solve for fleet mix (Hermeto et al, 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Hermeto et al (2014) performed analyses aimed at optimizing airfield locations, distribution of demand among airfields and fleet composition within the Campos and Santos basins, which are located off the coast of Brazil. The research emphasized the importance of using helicopter capacity, seat and total weight, to solve for fleet mix (Hermeto et al, 2014). The optimization model was executed using four sets of parameters in six scenarios.…”

Section: Literature Reviewmentioning

confidence: 99%

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Randomized greedy algorithm for helicopter optimization in the energy industry: a practical approach to model development and solution deliverance

Navarre

2021

IJESM

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Purpose The global energy industry transports supplies and personnel via helicopter to offshore locations and is increasingly focusing on optimizing upstream logistics. This paper aims to and achieves a mutually beneficial balance between research and practice by providing generalizable methods to a problem routinely encountered in practice. Overall, the development and execution of the heterogeneous capacitated helicopter routing problem with split deliveries and multiple depots is validated by the networks’ results. Design/methodology/approach Using a unique sample of deepwater and ultra-deepwater permanent offshore locations in the Gulf of Mexico, transportation networks consisting of 57 locations operated by 19 firms are optimized via a randomized greedy algorithm. The study’s randomized greedy algorithm yields depot assignment, vehicle assignment, passenger assignment and routing. All data processing techniques and iterative algorithm processes are defined and explained. Findings Results show that the model effectively solves the complex transportation networks consisting of subject firms’ offshore nodes and eligible depots. Specifically, average load factors related to seat capacity and effective vehicle capacity of 87.7 and 95.7% are realized, respectively. The study’s model is a unique contribution to the extant literature and provides researchers and practitioners a practical approach to model development and solution deliverance. Research limitations/implications The extant literature encompasses works that inadequately observe the complexity associated with the transportation of personnel. Specifically, this research, unlike many works in the extant literature, uses a heterogeneous versus homogeneous fleet, includes multiple depots versus a single depot and allows split deliveries. Also, the current research ensures all relevant aircraft capabilities and limitations are observed. In particular, the paper takes into account vehicles’ seat capacities, effective capacities via maximum gross takeoff weights and reserve fuel requirements. The current model, which is built upon a heterogeneous capacitated helicopter routing problem with split deliveries and multiple depots (HCHRPSDMD), sufficiently provides a practical approach to model development and solution deliverance while promoting future research endeavors. Future research may use these findings for other geographical regions and similar transportation networks and could adopt firm-specific actual cost parameters instead of the estimated average hourly costs of operating different helicopters. Furthermore, future endeavors may employ other techniques for the derivation of solutions. Future works may be enhanced with actual cost data in lieu of estimations. In the current study, cost data were not available; however, estimations do not inherently proscribe sound interpretations of the models’ outputs. Also, future research endeavors including manual method results may enable comparative results to establish cost variance analysis. Although the current study is, to some extent, limited, the practicality for practitioners and contribution to researchers is comprehensible. Due to the idiosyncrasies and complexity prevalent in modern transportation networks, optimization is and will continue to be a rich opportunity for implementation and research. Practical implications As described by previous researchers, energy firms may more efficiently use their contracted aircraft via implementation of a decision-making mechanism for passenger assignment, aircraft selection, depot selection and aircraft routing. Most energy firms possess numerous and spatially segregated offshore facilities and, therefore, are unable to efficiently and effectively make such decisions. Ultimately, the efficient use of firms’ contracted helicopters can enhance profitability via reduced costs without compromising operational performance. Reduced costs are likely to be realized by a potential workforce or workload reduction, reduced flight hours and enhanced bargaining power with commercial helicopter operators. Specifically, enhanced bargaining power may be realized as a result of minimized depots from which the aircraft are operated and an overall reduction of aircraft via increased asset utilization. In essence, the efficient use of commercial helicopters may yield systemic efficiencies that can be shared among all stakeholders, contracting energy firms and commercial helicopter operators. The achievement of operational efficiencies, ultimately, may determine the realization of target performance or solvency of a plethora of firms in the future (Krishnan et al., 2019). Social implications For economies, communities and industries depending on crude oil and natural gas production, people’s livelihoods are significantly impacted due to price fluctuations (Rostan and Rostan, 2020; Solaymani, 2019). Based on a unique set of inputs and outputs, the International Energy Agency region (IEA), which includes the current study’s sample set, was found to achieve greater overall production efficiency relative to the Organization of the Petroleum Exporting Countries (OPEC) and the Organization of Arab Petroleum Exporting Countries (OAPEC) (Ohene-Asare et al., 2018). Therefore, enhanced logistics efficiency within the energy industry’s transportation sector across the globe is reasonably likely. For countries relying on these commodities’ exportation, production efficiency is and will continue to be a priority. With limited resources available in industry and society, efficiency is prone to yield advantageous results for all stakeholders. Furthermore, in the context of this study, a reduction of carbon dioxide and noise pollution in air, above water and on land will contribute to society’s drive to protect the environment and preserve our natural resources for future generations. Originality/value The current study represents the lone or one of few research endeavors to evaluate the heterogeneous capacitated helicopter routing problem with split deliveries and multiple depots. Furthermore, research pertaining to transportation via helicopter in the Gulf of Mexico’s offshore basin is unprecedented. Lastly, this work yields actionable knowledge for practitioners while enhancing current and promoting future research endeavors.

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“…Only a few publications directly refer to military helicopters. There are, for example, papers concerning the population exchange model 34 , increasing the utilisation of fleet availability 39 , optimisation of sea air transport costs 40 , improvement of utilisation efficiency 41 , as well as helicopter diagnostics based on flight data analysis 42 .…”

Section: Introductionmentioning

confidence: 99%

Modelling of the Military Helicopter Operation Process in Terms of Readiness

et al. 2021

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The processes of exploitation of military objects are usually characterised by the specificity of the operation and the complexity of both the process itself and the object. This specificity may relate both to the type of tasks that these objects carry out and to the environment in which these processes take place. Complexity is usually reflected in the very structure of an object (for example, a ship, an aircraft or a helicopter) and, consequently, in its operation/maintenance system. The above mentioned features, as well as the limited access to data, naturally limits the set of publications available on this subject. In this article, the authors have presented a method of assessing the readiness of military helicopters operated by the Armed Forces of the Republic of Poland. The readiness of technical objects used in military exploitation systems is a basic indicator of equipment preparation for executing tasks. In exploitation process research, the mathematical models are usually discrete in states and continuous in time stochastic processes, in the set of which Markov models are included. The paper presents an example of using Markov processes with discrete time and with continuous time to assess the readiness of a technical object performing tasks appearing in random moments of time. At the same time, the aim of the examined system to achieve a state of balance is presented.

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Logistics network planning for offshore air transport of oil rig crews

Cited by 21 publications

References 15 publications

Heliport network planning through OR methods and use of GIS

Heliport network planning through OR methods and use of GIS

Randomized greedy algorithm for helicopter optimization in the energy industry: a practical approach to model development and solution deliverance

Modelling of the Military Helicopter Operation Process in Terms of Readiness

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