scholarly journals Closed-Loop Digital Twin for the Product Lifecycle

2021 ◽  
Author(s):  
Luiz Fernando C. S. Durão ◽  
Eduardo Zancul ◽  
Klaus Schützer
Keyword(s):  
Closed Loop ◽  
Product Lifecycle ◽  
Digital Representation ◽  
Digital Twin ◽  
Twin Model ◽  
Manufacturing Optimization ◽  
Data Analyses ◽  
Physical Product ◽  
Open Issue ◽  
Definition Of

Abstract Digital Twin advances have provided the conceptual ground for integrating a physical product with its digital representation. However, Digital Twin implementation has been focused on the beginning of life and manufacturing optimization, leaving space for developing a Digital Twin model that encompasses and connects different stages of the entire product lifecycle. In this scenario, the integration between company-internal data with real-time customers' data is still a challenge. Besides, implementing such a model in a multiplatform environment is also an open issue in the literature. This paper proposes the definition of a Closed-loop Digital Twin implemented as a middleware software that connects PLM, ERP, and MES data with customers' usage data. The proposed concept was implemented and tested in a learning factory. Results demonstrated the concept potential to consolidate product data, support data analyses, and provide insights for different stages of the product lifecycle.

scholarly journals Analysis of Digital Twin Definition and Its Difference from Simulation Modelling in Practical Application

2020 ◽  
Author(s):  
I.I. Krasikov ◽  
A. N. Kulemin
Keyword(s):  
Mathematical Model ◽  
Model Simulation ◽  
Simulation Modelling ◽  
Practical Application ◽  
Product Lifecycle ◽  
Digital Twin ◽  
Common Definition ◽  
Model And Simulation ◽  
Digital Twins ◽  
Definition Of

The digital twin is widely known as a tool for digitalization of a product, but there is no common definition concerning this term. This article discusses the definition and utilization of digital twin. Areas of use, it’s implementation in the product lifecycle and most importantly it’s benefits. The lack of a standardized concept of a digital  twin leads to a misunderstanding between mathematical models and digital twin. Several definitions of digital twin were analyzed and compared with the definition of mathematical model and simulation modelling. The basic concept of areas of use for digital twin is introduced. The differences and similarities between the two definitions were found. The article aims first of all to help the management of digital twins in practical application. Keywords: Digital twin, Mathematical modelling, Mathematical model, Lifecycle of a product, Simulation modelling, Practical use of digital twin, Difference between the digital twin and mathematical model, Simulation.

1006-P: Personalized Hybrid Closed-Loop Therapy Using a Digital Twin in Patients with Type 1 Diabetes: At-Home Data

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1006-P
Author(s):  
BENYAMIN GROSMAN ◽  
ANIRBAN ROY ◽  
DI WU ◽  
NEHA PARIKH ◽  
LOUIS J. LINTEREUR ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Closed Loop ◽  
Digital Twin ◽  
At Home

scholarly journals Product Lifecycle Management with the Asset Administration Shell

Computers ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 84
Author(s):  
Andreas Deuter ◽  
Sebastian Imort
Keyword(s):  
Data Model ◽  
Research Work ◽  
Idea Generation ◽  
Automatic Generation ◽  
Product Lifecycle Management ◽  
Product Lifecycle ◽  
Digital Representation ◽  
Holistic Concept ◽  
Standard Interface ◽  
Lifecycle Management

Product lifecycle management (PLM) as a holistic process encompasses the idea generation for a product, its conception, and its production, as well as its operating phase. Numerous tools and data models are used throughout this process. In recent years, industry and academia have developed integration concepts to realize efficient PLM across all domains and phases. However, the solutions available in practice need specific interfaces and tend to be vendor dependent. The Asset Administration Shell (AAS) aims to be a standardized digital representation of an asset (e.g., a product). In accordance with its objective, it has the potential to integrate all data generated during the PLM process into one data model and to provide a universally valid interface for all PLM phases. However, to date, there is no holistic concept that demonstrates this potential. The goal of this research work is to develop and validate such an AAS-based concept. This article demonstrates the application of the AAS in an order-controlled production process, including the semi-automatic generation of PLM-related AAS data. Furthermore, it discusses the potential of the AAS as a standard interface providing a smooth data integration throughout the PLM process.

scholarly journals A digital twin architecture for effective product lifecycle cost estimation

Procedia CIRP ◽  
2021 ◽  
Vol 100 ◽  
pp. 506-511
Author(s):  
Maryam Farsi ◽  
Dedy Ariansyah ◽  
John Ahmet Erkoyuncu ◽  
Andrew Harrison
Keyword(s):  
Cost Estimation ◽  
Product Lifecycle ◽  
Digital Twin ◽  
Effective Product

scholarly journals Evaluating Metrics Applied to the Medical Science Liaison (MSL) Role: A Survey-Based Study of Canadian MSL Leaders

2021 ◽  
Author(s):  
Munaza Saleem ◽  
Lisa Cesario ◽  
Lisa Wilcox ◽  
Marsha Haynes ◽  
Simon Collin ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Professional ◽  
Online Survey ◽  
Medical Science ◽  
Specialty Care ◽  
Product Lifecycle ◽  
The Past ◽  
Data Analyses ◽  
Quantitative Metrics ◽  
Frequency Of Use

Abstract Introduction Metrics utilized within the Medical Science Liaison (MSL) role are plentiful and traditionally quantitative. We sought to understand the current use and value of metrics applied to the MSL role, including the use of qualitative metrics. Methods We developed a list of 70 MSL leaders working in Canada, spanning 29 companies. Invitations were emailed Jun 16, 2020 and the 25-question online survey was open for 3 weeks. Questions were designed to assess demographics as well as how and why metrics are applied to the MSL role. Data analyses were descriptive. Results Responses were received from 44 leaders (63%). Of the 42 eligible, 45% had ≤ 2 years of experience as MSL leaders and 86% supported specialty care products over many phases of the product lifecycle. A majority (69%) agreed or strongly agreed that metrics are critical to understanding whether an MSL is delivering value, and 98% had used metrics in the past year. The most common reason to use metrics was ‘to show value/impact of MSLs to leadership’ (66%). The most frequently used metric was ‘number of health-care professional (HCP) interactions’, despite this being seen as having moderate value. Quantitative metrics were used more often than qualitative, although qualitative were more often highly valued. Conclusion The data collected show a lack of agreement between the frequency of use for some metrics and their value in demonstrating the contribution of an MSL. Overall, MSL leaders in our study felt qualitative metrics were a better means of showing the true impact of MSLs.

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