State of the art in modelling and simulation

Romain Sibois, Ali Muhammad

    Research output: Book/ReportReport


    Nowadays companies are required to provide products with innovative and powerful features, and this includes more and more challenges in the development of those products. Computational methods, including modelling and simulation, have been identified as one of the key factors for success both in research and product development. Integration of software tools and management of digital models and computational data has been, and still is, a bottleneck in the wide application of computational methods. There is clear trend of research in the area of data, simulation and knowledge management. Research institutes have been already working on this topic for years, but many issues are still unsolved. The report is a study of the current state of the art of the data management in modelling and simulation. The report is prepared considering the current state of the art and the needs of Finnish industry. This document aims to provide a better understanding of the major issues currently faced in the Finnish industry concerning modelling and simulation, and in order to be able to propose ways of improvement in the following phase of the SIMPRO project. The aim is to continue the study of these subjects according to experiences of the partners, problems and needs. Some clear aspects have to be studied in more detail especially concerning the existing software application tools, both commercial and open source. This requires getting familiar with those tools and utilising them on some case studies, which may be provided directly from the partners, in order to highlight the real issues and gaps that might be problematic for the users.
    Original languageEnglish
    PublisherVTT Technical Research Centre of Finland
    Number of pages20
    Publication statusPublished - 2015
    MoE publication typeD4 Published development or research report or study

    Publication series

    SeriesVTT Research Report


    • modelling
    • simulation
    • data management
    • PLM
    • SLM


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