Enabling automated engineering’s project progress measurement by using data flow models and digital twins

A significant challenge of managing successful engineering projects is to know their status at any time. This paper describes a concept of automated project progress measurement based on data flow models, digital twins, and machine learning (ML) algorithms. The approach integrates information from p...

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Bibliographic Details
Main Authors: Helena Ebel, Theresa Riedelsheimer, Rainer Stark
Format: Article
Language:English
Published: SAGE Publishing 2021-07-01
Series:International Journal of Engineering Business Management
Online Access:https://doi.org/10.1177/18479790211033697