{"title":"设计方法学最新报告","authors":"S. O. Erikstad, B. Lagemann","doi":"10.5957/imdc-2022-301","DOIUrl":null,"url":null,"abstract":"Marine systems design methodology is continuously evolving. On a strategic level, we have seen four major evolutionary tracks emerging from the sequential, iterative process captured in the classical design spiral. One is a model-based systems engineering approach that removes iterations by a structured mapping from needs to functions, and further to form elements that are finally synthesized into a complete design. Another is a set-based strategy, where a large number of designs are generated and analysed, from which one or a few solutions are selected for further development. A third direction is a holistic optimization strategy where the major steps in the spiral model are integrated onto a common platform that enables the automatic identification of one or a few balanced, preferable solutions. Finally, as a strategy towards improved competitiveness through standardization in a typical engineered-to-order industry, we have seen the emergence of modular architectures combined with configuration-based design methods. Across these four evolutionary tracks there have been several more focused developments on different levels of maturity. This includes design-for-sustainability, simulation of operations, design-for-flexibility to handle uncertainty and change, and design of wind-assisted vessels. Finally, we have pointed to some emerging developments that we find promising but have yet to mature into having a significant impact on industry level applications. This includes artificial intelligence and machine learning, extended system boundaries, and digital twin technologies.","PeriodicalId":184250,"journal":{"name":"Day 3 Tue, June 28, 2022","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design Methodology State-of-the-Art Report\",\"authors\":\"S. O. Erikstad, B. Lagemann\",\"doi\":\"10.5957/imdc-2022-301\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Marine systems design methodology is continuously evolving. On a strategic level, we have seen four major evolutionary tracks emerging from the sequential, iterative process captured in the classical design spiral. One is a model-based systems engineering approach that removes iterations by a structured mapping from needs to functions, and further to form elements that are finally synthesized into a complete design. Another is a set-based strategy, where a large number of designs are generated and analysed, from which one or a few solutions are selected for further development. A third direction is a holistic optimization strategy where the major steps in the spiral model are integrated onto a common platform that enables the automatic identification of one or a few balanced, preferable solutions. Finally, as a strategy towards improved competitiveness through standardization in a typical engineered-to-order industry, we have seen the emergence of modular architectures combined with configuration-based design methods. Across these four evolutionary tracks there have been several more focused developments on different levels of maturity. This includes design-for-sustainability, simulation of operations, design-for-flexibility to handle uncertainty and change, and design of wind-assisted vessels. Finally, we have pointed to some emerging developments that we find promising but have yet to mature into having a significant impact on industry level applications. This includes artificial intelligence and machine learning, extended system boundaries, and digital twin technologies.\",\"PeriodicalId\":184250,\"journal\":{\"name\":\"Day 3 Tue, June 28, 2022\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Day 3 Tue, June 28, 2022\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5957/imdc-2022-301\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 3 Tue, June 28, 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5957/imdc-2022-301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Marine systems design methodology is continuously evolving. On a strategic level, we have seen four major evolutionary tracks emerging from the sequential, iterative process captured in the classical design spiral. One is a model-based systems engineering approach that removes iterations by a structured mapping from needs to functions, and further to form elements that are finally synthesized into a complete design. Another is a set-based strategy, where a large number of designs are generated and analysed, from which one or a few solutions are selected for further development. A third direction is a holistic optimization strategy where the major steps in the spiral model are integrated onto a common platform that enables the automatic identification of one or a few balanced, preferable solutions. Finally, as a strategy towards improved competitiveness through standardization in a typical engineered-to-order industry, we have seen the emergence of modular architectures combined with configuration-based design methods. Across these four evolutionary tracks there have been several more focused developments on different levels of maturity. This includes design-for-sustainability, simulation of operations, design-for-flexibility to handle uncertainty and change, and design of wind-assisted vessels. Finally, we have pointed to some emerging developments that we find promising but have yet to mature into having a significant impact on industry level applications. This includes artificial intelligence and machine learning, extended system boundaries, and digital twin technologies.