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3 results on '"Benayas-Ayuso, Arturo"'

1. CAD Sensitization, an Easy Way to Integrate Artificial Intelligence in Shipbuilding.

Author

Benayas-Ayuso, Arturo, Perez Fernandez, Rodrigo, and Perez-Arribas, Francisco

Subjects
LIFE cycles (Biology), ARTIFICIAL intelligence, COMPUTER-aided design, MACHINE learning, DEEP learning
Abstract

There are two main areas in which the Internet of Ships (IoS) can help: firstly, the production stage, in all its phases, from material bids to manufacture, and secondly, the operation of the ship. Intelligent ship management requires a lot of information, as does the shipbuilding process. In these two phases of the ship's life cycle, IoS acts as a key to the keyhole. IoS tools include sensors, process information and real-time decision-making, fog computing, or delegated processes in the cloud. The key point to address this challenge is the design phase. Getting the design process right will help in both areas, reducing costs and making agile use of technology to achieve a highly efficient and optimal outcome. But this raises a lot of new questions that need to be addressed: At what stage should we start adding control sensors? Which sensors are best suited to our solution? Is there anything that offers more than simple identification? As we begin the process of answering all these questions, we realize that a Computer Aided Design (CAD) tool, as well as Artificial Intelligence (AI), mixed in a single tool, could significantly help in all these processes. AI combined with specialized CAD tools can enhance the sensitization phases in the shipbuilding process to improve results throughout the ship's life cycle. This is the base of the framework developed in this paper. [ABSTRACT FROM AUTHOR]

Published
2024
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3. Automated/Controlled Storage for an Efficient MBOM Process in the Shipbuilding Managing the IoT Technology

Author

Benayas Ayuso, Arturo and Pérez Fernández, Rodrigo

Subjects
Informática
Abstract

Non automated/controlled warehouse sets a possible improvement point in several shipyards. Material arrives into shipyard in stock-trucks or ships, and it is randomly stored when a tight time is set. Material stock orders are saved in the Shipyard storage control System, but there are no link between orders and the real arrived material. MBOM production working orders are based in material available in warehouses, new arriving material sets an availability to start processing this order, but sometimes, MBOM material preparation request more time than expected. Setting an arrival sorting and tag process, with some special marking methods could help to improve material control, availability and processing for these MBOMs. This also increases the material availability time in the Shipyard Storage control System, but it reduces material processing for the next steps of the ship production. Another problem is that, in tight schedules, material collection could be too much, so extra material represents unnecessary purchases. Some material requires a three month request to be served to shipyard. This period gap sets a delay to adjust the real required material to the available in the shipyard, to avoid this delay impact, shipyards try to request in advance more material than real needs, in order workshops don't decrease their work-load. Second problem must be resolved using the CAD and PLM Systems in order to help engineers generating a fast-close- to-real material collection prevision, using special pre-collection of information and helping designers to improve the 3D model.

Published
2018

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