Implementation of the operational guidance as a part of the second generation intact stability criteria to the deterministic ship weather routing

The paper presents an innovative approach to ship route planning, with a Decision Support System (DSS) at its core. DSS integrates deterministic algorithms with safety constraints based on the Second Generation Intact Stability Criteria (SGISC), particularly the Operational Guidance (OG) implementin...

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Vydané v:	Ocean engineering Ročník 333; s. 121455
Hlavní autori:	Zyczkowski, Marcin, Krata, Przemyslaw, Szozda, Zbigniew
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 30.07.2025
Predmet:	Decision support system prototyping Decision-making for ship navigation Deterministic algorithm Machine learning Operational guidance Proactive ship stability assessment Second generation intact stability criteria Weather routing Decision-making for ship navigation Weather routing Machine learning Proactive ship stability assessment Second generation intact stability criteria Operational guidance Deterministic algorithm Decision support system prototyping
ISSN:	0029-8018
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Abstract	The paper presents an innovative approach to ship route planning, with a Decision Support System (DSS) at its core. DSS integrates deterministic algorithms with safety constraints based on the Second Generation Intact Stability Criteria (SGISC), particularly the Operational Guidance (OG) implementing the SGSIC Level 2 assessment. A distinctive feature of the proposed method is the use of machine learning to create a surrogate model capable of supporting the identification of hazardous conditions and enhance adaptive decision-making. Combined with graph-based algorithms, this allows DSS to generate optimal routes that comply with the most modern stability standards. The system not only plans safe and efficient routes but also supports operational decisions by linking weather forecasts with the ship's dynamic stability. The methodology was tested using a computer model of the training vessel Horyzont II, covering failure modes such as surf-riding, parametric rolling, pure loss of stability, excessive acceleration, and synchronous rolling. The results demonstrate the system's effectiveness under various sea conditions and its potential to reduce accident risks. By integrating machine learning with route optimization and stability assessment, the proposed solution contributes to the development of intelligent navigation tools for both conventional and future autonomous vessels. •Ship weather routing combines deterministic algorithms with SGISC constraints.•DSS uses machine learning, and graph-based algorithms for route optimization.•Case study integrates a dynamic stability model for various failure modes.•Various routing scenarios confirm DSS reliability under diverse sea conditions.•Integrating stability constraints in routing enhances safety and decision-making.
AbstractList	The paper presents an innovative approach to ship route planning, with a Decision Support System (DSS) at its core. DSS integrates deterministic algorithms with safety constraints based on the Second Generation Intact Stability Criteria (SGISC), particularly the Operational Guidance (OG) implementing the SGSIC Level 2 assessment. A distinctive feature of the proposed method is the use of machine learning to create a surrogate model capable of supporting the identification of hazardous conditions and enhance adaptive decision-making. Combined with graph-based algorithms, this allows DSS to generate optimal routes that comply with the most modern stability standards. The system not only plans safe and efficient routes but also supports operational decisions by linking weather forecasts with the ship's dynamic stability. The methodology was tested using a computer model of the training vessel Horyzont II, covering failure modes such as surf-riding, parametric rolling, pure loss of stability, excessive acceleration, and synchronous rolling. The results demonstrate the system's effectiveness under various sea conditions and its potential to reduce accident risks. By integrating machine learning with route optimization and stability assessment, the proposed solution contributes to the development of intelligent navigation tools for both conventional and future autonomous vessels. •Ship weather routing combines deterministic algorithms with SGISC constraints.•DSS uses machine learning, and graph-based algorithms for route optimization.•Case study integrates a dynamic stability model for various failure modes.•Various routing scenarios confirm DSS reliability under diverse sea conditions.•Integrating stability constraints in routing enhances safety and decision-making.
ArticleNumber	121455
Author	Zyczkowski, Marcin Krata, Przemyslaw Szozda, Zbigniew
Author_xml	– sequence: 1 givenname: Marcin orcidid: 0000-0002-4454-6756 surname: Zyczkowski fullname: Zyczkowski, Marcin email: marcin.zyczkowski@pg.edu.pl organization: Faculty of Mechanical Engineering and Ship Technology, Gdansk University of Technology, Poland – sequence: 2 givenname: Przemyslaw orcidid: 0000-0003-0460-5704 surname: Krata fullname: Krata, Przemyslaw organization: Faculty of Mechanical Engineering and Ship Technology, Gdansk University of Technology, Poland – sequence: 3 givenname: Zbigniew orcidid: 0000-0002-8467-244X surname: Szozda fullname: Szozda, Zbigniew organization: Faculty of Navigation, Maritime University of Szczecin, Poland
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Keywords	Decision-making for ship navigation Weather routing Machine learning Proactive ship stability assessment Second generation intact stability criteria Operational guidance Deterministic algorithm Decision support system prototyping
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Snippet	The paper presents an innovative approach to ship route planning, with a Decision Support System (DSS) at its core. DSS integrates deterministic algorithms...
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SubjectTerms	Decision support system prototyping Decision-making for ship navigation Deterministic algorithm Machine learning Operational guidance Proactive ship stability assessment Second generation intact stability criteria Weather routing
Title	Implementation of the operational guidance as a part of the second generation intact stability criteria to the deterministic ship weather routing
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