Agent-based model of maritime search operations: A validation using test-driven simulation modelling

Onggo, Bhakti Stephan; Karataş, Mümtaz

doi:10.1109/wsc.2015.7408169

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…They perform DES model to EMS of Belo Horizonte, Brazil, with dynamic changes in the number of ambulances, bases and hospitals in six different scenarios. In their study, Onggo and Karatas (2015) and Onggo and Karatas (2016) use simulation to measure the performance of maritime search operations. Considering different maritime search problems, the authors develop a test-driven simulation modeling which utilizes analytic formulas to verify and validate their model.…”

Section: Related Workmentioning

confidence: 99%

An ILP and simulation model to optimize search and rescue helicopter operations

Karataş

Razi

Günal

2017

Journal of the Operational Research Society

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Maritime search and rescue (SAR) operations, conducted for rendering aid to the victims in need of help at sea, play a crucial role in dropping the number of causalities. Therefore, it is of high importance to organize SAR operations properly. In this paper, we compose a hybrid methodology which combines optimization and simulation to allocate SAR helicopters. First, we build an integer linear programming (ILP) model to provide an effective deployment plan and use it as an input to a simulation model which includes constraints that the ILP model cannot tackle. Next, using a rule-based algorithm, we generate alternative solutions and seek better plans that exist in the vicinity of the ILP model solution. We perform our methodology on the historical incident data in the Aegean Sea region. Results show that the hybrid methodology we adopted leads to a more effective utilization of resources than the optimization model alone.

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Section: Related Workmentioning

confidence: 99%

An ILP and simulation model to optimize search and rescue helicopter operations

Karataş

Razi

Günal

2017

Journal of the Operational Research Society

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“…The work tends to focus on software architecture rather than analyzing collaboration from a market approach. Moreover, ABM is still a relatively new tool to operational research, compared to DES and SD (Onggo and Karatas 2015). The following subsections briefly discuss the features of ABM and the previous ABM research in a SCM context.…”

Section: Overview Of Agent-based Modelingmentioning

confidence: 99%

Duration of Collaboration from a Market Perspective: An Agent-based Modeling Approach

Arvitrida

Tako

Robertson

et al. 2017

OSCM: An Int. Journal

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Maintaining a long-term partnership with a supplier is considered an effective strategy to achieve collaboration success in supply chain management (SCM). However, individual companies find that this approach does not always improve business performance. In this paper, an agent-based model (ABM) is developed to investigate the effect of duration of collaboration on supply chains from a market perspective. The model represents two-stage supply chains of an innovative product market, involving suppliers and manufacturers. The model outputs are measured by the rate of demand fulfilment and the number of supply chains which can survive in the market. The results show that duration of collaboration has no significant impact on both demand fulfilment and survivability of supply chains. This finding contradicts the common belief held in the literature about the benefits of longterm collaboration, but it corroborates examples encountered in practice. This study provides new insights to the practice of supply chain collaboration by taking a market perspective. The results show that a longer duration of collaboration does not provide a significant improvement to the supply chain's competitiveness from a market point of view, in terms of demand fulfilment and supply chain's ability to survive over the long-term. The implications of this finding to practice are discussed in the paper.

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“…Another study [33] introduced a simulation process of sea-air search trends at sea using 3D GIS technology, which helps search commanders judge search trends, including search facility dynamics and the degree of area coverage. A case study using agent-based maritime search-operation simulation demonstrated a model verification and validation (V&V) technique called test-driven simulation modelling (TDSM) [34]. The optimal selection of vessels for participating in maritime search has been studied, and a corresponding model was established in [35]- [37].…”

Section: Introductionmentioning

confidence: 99%

Optimal Search Facilities Selection Model for Joint Aeronautical and Maritime Search

Xing

2021

IEEE Access

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Joint aeronautical and maritime search and rescue is the most effective way of performing rescues at sea. The value and effectiveness of a search and rescue (SAR) are far greater when using a coordinated air-maritime search than when using only vessels or aircraft. However, the harmonization of aeronautical and maritime SAR is complex and potentially life-threatening. When the location of the target in distress is unknown, the search process must be carried out. As the sole way to locate and rescue survivors, the search process is the most costly, hazardous, and complicated part of the whole SAR operation. This paper focuses on the key problem of the optimal selection of search facilities, that is often encountered in largearea maritime search practice and urgently needs to be solved in joint aeronautical and maritime search operations. The problem may be abstracted into an optimization model with vessel and aircraft quantitative constraints that fully considers the area of the sea region to be searched, maximum speeds, search capabilities, initial distances of vessels and aircraft from the search area, and maximum endurance of aircraft. By introducing 0-1 decision variables, the search facility selection can be judged and optimized directly and effectively. By analyzing the results with different vessel and aircraft quantities, and taking the relationship between search coverage time and the number of search facilities (cost) into account, the optimal (most economic and feasible) search facility selection scheme can be produced. INDEX TERMS Joint aeronautical and maritime search, marine safety, search facility, optimal model.

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Agent-based model of maritime search operations: A validation using test-driven simulation modelling

Cited by 5 publications

References 12 publications

An ILP and simulation model to optimize search and rescue helicopter operations

An ILP and simulation model to optimize search and rescue helicopter operations

Duration of Collaboration from a Market Perspective: An Agent-based Modeling Approach

Optimal Search Facilities Selection Model for Joint Aeronautical and Maritime Search

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