scholarly journals Virtual Prototyping: Evaluating the Digital Twin Based Virtual Factory for New Product Introduction

Author(s):  
Emre Yildiz ◽  
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Charles Møller ◽  
Arne Bilberg ◽  
Jonas Kjær Rask ◽  
...  

Shortening lifecycles and increasing complexity make product and production lifecycle processes more challenging than ever for manufacturing enterprises. Virtual Prototyping (VP) technologies promise a viable solution to handle such challenges in reducing time and physical builds as well as increasing quality. In previous studies, the Digital Twin (DT) based Virtual Factory (VF) concept showed significant potential to handle co-evolution by integrating 3D factory and product models with immersive and interactive 3D Virtual Reality (VR) simulation technology as well as real-time bidirectional data synchronisation between virtual and physical production systems. In this article, we present an extension to the paper “Demonstrating and Evaluating the Digital Twin Based Virtual Factory for Virtual Prototyping” presented at CARV2021. The study presents an evaluation by industry experts of the DT based VF concept for VP in the context of New Product Introduction (NPI) processes. The concept is demonstrated in two cases: wind turbine blade manufacturing and nacelle assembly operations at Vestas Wind Systems A/S. The study shows that the VF provides an immersive virtual environment, which allows the users to reduce the time needed for prototyping. The industry experts propose several business cases for the introduced solution and find that the phases that would have the most gain are the later ones (production) where the product design is more mature.

Author(s):  
David A. Guerra-Zubiaga ◽  
Alex Bondar ◽  
Gilberto Escobedo ◽  
Arthur Schumacher

Abstract The new industrial revolution called Industry 4.0 embraces diverse Digital Manufacturing Tools (DMT). Trying to improve Product Life-cycle Management (PLM), some companies are trying to implement DMT to create Digital Twins (DT). New Product Introduction (NPI) demands large effort in digitalization and virtual simulation through the PLM process. Sometimes a new product could be only the development of a single component and/or an entire manufacturing process including complex instruments and controls. In this direction, it is important to accelerate Manufacturing Integrated Systems (MIS) by improving the automation not only in the NPI, but also in the PLM. This paper integrates Siemens PLM software as DMT called Tecnomatix Process Simulate (TPS), Totally Integrated Automation (TIA) and PLCSIM advanced. The scope in the NPI is showing how a Digital Twin could help the MIS. The aim of this paper is to evaluate the interconnectivity of a small physical prototype with its virtually simulated clone to support the virtual commissioning for a NPI.


Author(s):  
Irina Wedel ◽  
Michael Palk ◽  
Stefan Voß

AbstractSocial media enable companies to assess consumers’ opinions, complaints and needs. The systematic and data-driven analysis of social media to generate business value is summarized under the term Social Media Analytics which includes statistical, network-based and language-based approaches. We focus on textual data and investigate which conversation topics arise during the time of a new product introduction on Twitter and how the overall sentiment is during and after the event. The analysis via Natural Language Processing tools is conducted in two languages and four different countries, such that cultural differences in the tonality and customer needs can be identified for the product. Different methods of sentiment analysis and topic modeling are compared to identify the usability in social media and in the respective languages English and German. Furthermore, we illustrate the importance of preprocessing steps when applying these methods and identify relevant product insights.


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