Transforming raw DATA into insightful and actionable INFORMATION to obtain KNOWLEDGE
News & Interests
just in:
9 February 2024 - AI in Ship Life Cycle
The lecture titled "AI in Ship Lifecycle" for the Indian Maritime University on February 9, 2024, will explore the innovative application of Artificial Intelligence (AI) in managing the life cycle of ships. This presentation focuses on leveraging AI to enhance decision-making in ship design, operation, and maintenance. It includes an in-depth look at developing a digital twin of a ship, utilizing a knowledge graph database for semantic information storage, and employing deep learning for advanced decision-making. The session will also cover the evolution and impact of the MA-CAD method, emphasizing its role in minimizing costs and risks in maritime operations.
2023/2024 - Season's Greetings
19 December 2023 - Vessel Vision project presented to FERIT students (Osijek, Croatia), envisioning creation of student assignments in line with project goals.
5 September 2023 - neo4j platform selected for Vessel Vision project
The neo4j platform has been selected to home the digital twin knowledge graph.
18 August 2023 - Vessel Vision project unveiled
Thrilled to unveil our latest endeavor: the "Vessel Vision" project. Anchored in innovative technology and forward-thinking, this initiative promises to redefine how ships interact with our world, both above and below the waves.
13 July 2023 - Life Cycle Costs Calculator ported to Flutter/Dart
Exciting news! MA-CAD's Life Cycle Costs Calculator, now in its 3rd version, has been ported to Flutter/Dart. This transformation opens up new horizons, allowing the software to run seamlessly on various platforms. Whether you're using Android, iOS, Linux, or Windows, or simply browsing the web, this updated version ensures consistent performance across all platforms. The same code base, multiple functionalities - an unparalleled convenience in the realm of cost calculation!
23 March 2023 -
Failure Knowledge Graphs - published on OnePetro
8 March 2023 -
Failure Knowledge Graphs - presented at SOME 2023
January 2023 - Season's Greetings
July 2022 - MA-CAD website back online. Thanks for your patience!
May 2021 - The (R)Evolution of Risk
The definition of risk (at least in technical applications) has always been a probabilistics one...
Projects
This section introduces you to some of our work through a selection of our projects:
Vessel Vision
At the heart of the 'Vessel Vision' project lies the concept of a 'Digital Twin'. For those unacquainted, think of it as a mirror image of a real-life ship but in a digital realm. This isn’t just a static representation but an evolving, data-driven model that keeps pace with its physical counterpart in real-time.
The neo4j graph database platform has been selected as a persistent store.
Life Cycle Costs Calculator
Life Cycle Costs Calculator the MA-CAD software has been ported to Flutter / Dart. This is version 3 of the software. The port means that for the same code base the application can run on mobile (Android, iOS), desktop (Linux, Windows), and in the web browser.
Failure Knowledge Graphs
Failure analysis is the cornerstone of asset management via life-cycle costs optimizations. Knowledge graphs are semantic nets that are the next level of database technology. Deep learning is a field of inquiry devoted to understanding and building methods that “learn”, that is, methods that leverage data to improve performance on some set of tasks. We propose to structure the deep learning data into knowledge graphs to foster advanced failure analysis leveraging optimum life-cycle costs.
Towards a United Nations Environmental Airspace Agency UNEAA
Digitalisation of the MA-CAD method
The “MAintenance Concept Adjustment and Design” is a book (ISBN 90-370-0112-2) published in 1994. This states the methodology applied to marine engineering systems of sea-going vessels. The project was sponsored by Nedlloyd Lines (today part of Maersk) and the Royal Dutch Navy.
The document will be digitized and re-published.
You can download a PDF (attached)
Open-sourcing of the MA-CAD Life-Cycle Costs Optimizer
The method includes a software tool with a Weibull data-fitting method and cost optimization methods for different maintenance policies.
The software will be open sourced and published on github.
About us
MA-CAD is a digital transformation and engineering consultancy agency.
Our core business is applying innovative approaches (knowledge graphs, deep learning, blockchain technologies…) to technical systems care (data governance, risk analysis, reliability engineering, maintenance management, life cycle costs optimization) services to global customers involved with up-holding such systems in a safe, responsible, and sustainable manner throughout the life of these (cradle to grave).
Other scientific, engineering and/or technology projects as defined by customer’s needs are developed, and run in parallel, if found viable.
Contact us
1 Montée Jeansoulin
Villa les myosotis
06500 Menton
France
+33 9 82 20 08 20
contact@ma-cad.com
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