Open AccessA Review of Methodologies for Automating a Simulation Process
Author(s) -
Harshita Parasrampuria,
Ranjan Rao
Publication year - 2020
Publication title -
international journal for research in engineering application and management
Language(s) - English
Resource type - Journals
ISSN - 2454-9150
DOI - 10.35291/2454-9150.2020.0329
Subject(s) - computer science , process (computing) , field (mathematics) , value (mathematics) , software engineering , systems engineering , data science , industrial engineering , engineering , machine learning , mathematics , pure mathematics , operating system
Today’s world is run by technology, wherein every field the primary aim has become to reduce manual intervention and reduce efforts put by humans. This reduction of effort helps in increasing value-added time and decreasing the nonproductive or the non-value added time. A few of the tasks such a creating a simulation model that requires heavy manual efforts has been a common topic for researches to automate and improve. If today the time taken to manually create a model can reduce then this can lead to saving not only time and also knowledge as then the application can be given more importance than the labor in building the model. This paper concentrates on automating the simulation model building process and speaks of the different approaches taken up by various authors to help automate it. The approaches are based on data, common tools or artificial intelligence.