scholarly journals Digital Twin-Enabled Decision Support Services in Industrial Ecosystems

2021 ◽  
Vol 11 (23) ◽  
pp. 11418
Author(s):  
Jürg Meierhofer ◽  
Lukas Schweiger ◽  
Jinzhi Lu ◽  
Simon Züst ◽  
Shaun West ◽  
...  
Keyword(s):  
Decision Support ◽  
Systems Engineering ◽  
Support Services ◽  
Theoretical Concept ◽  
Original Model ◽  
Digital Twin ◽  
Ontology Model ◽  
Digital Twins ◽  
Service Ecosystems ◽  
Semantic Ontology

The goal of this paper is to further elaborate a new concept for value creation by decision support services in industrial service ecosystems using digital twins and to apply it to an extended case study. The aim of the original model was to design and integrate an architecture of digital twins derived from business needs that leveraged the potential of the synergies in the ecosystem. The conceptual framework presented in this paper extends the semantic ontology model for integrating the digital twins. For the original model, technical modeling approaches were developed and integrated into an ecosystem perspective based on a modeling of the ecosystem and the actors’ decision jobs. In a service ecosystem comprising several enterprises and a multitude of actors, decision making is based on the interlinkage of the digital twins of the equipment and the processes, which is achieved by the semantic ontology model further elaborated in this paper. The implementation of the digital twin architecture is shown in the example of a manufacturing SME (small and medium-sized enterprise) case that was introduced in. The mixed semantic modeling and model-based systems engineering for this implementation is discussed in further detail in this paper. The findings of this detailed study provide a theoretical concept for implementing digital twins on the level of service ecosystems and integrating digital twins based on a unified ontology. This provides a practical blueprint to companies for developing digital twin based services in their own operations and beyond in their ecosystem.

scholarly journals Leveraging Digital Twin Technology in Model-Based Systems Engineering

Systems ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 7 ◽  
Author(s):  
Azad Madni ◽  
Carla Madni ◽  
Scott Lucero
Keyword(s):  
Systems Engineering ◽  
Physical System ◽  
System Simulation ◽  
Virtual Prototype ◽  
Digital Representation ◽  
Digital Twin ◽  
Model Based ◽  
Digital Twins ◽  
Status Data ◽  
Model Based Systems Engineering

Digital twin, a concept introduced in 2002, is becoming increasingly relevant to systems engineering and, more specifically, to model-based system engineering (MBSE). A digital twin, like a virtual prototype, is a dynamic digital representation of a physical system. However, unlike a virtual prototype, a digital twin is a virtual instance of a physical system (twin) that is continually updated with the latter’s performance, maintenance, and health status data throughout the physical system’s life cycle. This paper presents an overall vision and rationale for incorporating digital twin technology into MBSE. The paper discusses the benefits of integrating digital twins with system simulation and Internet of Things (IoT) in support of MBSE and provides specific examples of the use and benefits of digital twin technology in different industries. It concludes with a recommendation to make digital twin technology an integral part of MBSE methodology and experimentation testbeds.

A Systemic, Participative Design of Decision Support Services for Clinical Research

2016 ◽  
pp. 371-390
Author(s):  
Alexandra Pomares Quimbaya ◽  
Rafael A. González ◽  
Wilson Ricardo Bohórquez ◽  
Oscar Muñoz ◽  
Olga Milena García ◽  
...  
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Best Practices ◽  
Clinical Research ◽  
Systems Engineering ◽  
Support Services ◽  
Design Science ◽  
Service Systems ◽  
Participative Design ◽  
User Centered

Development of IT-based services to support decision-making in healthcare should be guided by the following considerations: rigor, relevance, user-centered participation and inclusion of the best practices for IT-based service systems. In this paper, the balance between rigor and relevance is achieved by following the design science research methodology; user-centered participation is tackled from the socio-technical tradition in information systems; best practices considered in the planning, design and implementation of the services are informed by the MOF framework. Moreover, and considering the premise that these pillars should holistically converge, this research has been approached from a systemic stance where iterative, participative, socio-technical activities have allowed the effective collaboration between information systems researchers, clinical researchers, medical staff and administrative hospital personnel. This paper argues for a move towards enhancing systemic, participative, design-centered service systems engineering by reporting a case which applies these concepts for providing decision-support services, enabled by data and text mining techniques, to contribute to clinical research and administration by being able to search electronic health records where narrative text hides meaningful information that would otherwise require a time-consuming human revision of these records.

scholarly journals Systems Architecture Design Pattern Catalog for Developing Digital Twins

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5103
Author(s):  
Bedir Tekinerdogan ◽  
Cor Verdouw
Keyword(s):  
Systems Engineering ◽  
Design Patterns ◽  
Architecture Design ◽  
Physical Entity ◽  
Systems Architecture ◽  
Digital Twin ◽  
Study Approach ◽  
Digital Twins ◽  
Agriculture And Food

A digital twin is a digital replica of a physical entity to which it is remotely connected. A digital twin can provide a rich representation of the corresponding physical entity and enables sophisticated control for various purposes. Although the concept of the digital twin is largely known, designing digital twins based systems has not yet been fully explored. In practice, digital twins can be applied in different ways leading to different architectural designs. To guide the architecture design process, we provide a pattern-oriented approach for architecting digital twin-based systems. To this end, we propose a catalog of digital twin architecture design patterns that can be reused in the broad context of systems engineering. The patterns support the various phases in the systems engineering life cycle process, and are described using a well-defined pattern documentation template. For illustrating the application of digital twin patterns, we adopt a multi-case study approach in the agriculture and food domain.

A Systemic, Participative Design of Decision Support Services for Clinical Research

2014 ◽  
Vol 7 (2) ◽  
pp. 20-40 ◽  
Author(s):  
Alexandra Pomares Quimbaya ◽  
Rafael A. González ◽  
Wilson Ricardo Bohórquez ◽  
Oscar Muñoz ◽  
Olga Milena García ◽  
...  
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Best Practices ◽  
Clinical Research ◽  
Systems Engineering ◽  
Support Services ◽  
Design Science ◽  
Service Systems ◽  
Participative Design ◽  
User Centered

Development of IT-based services to support decision-making in healthcare should be guided by the following considerations: rigor, relevance, user-centered participation and inclusion of the best practices for IT-based service systems. In this paper, the balance between rigor and relevance is achieved by following the design science research methodology; user-centered participation is tackled from the socio-technical tradition in information systems; best practices considered in the planning, design and implementation of the services are informed by the MOF framework. Moreover, and considering the premise that these pillars should holistically converge, this research has been approached from a systemic stance where iterative, participative, socio-technical activities have allowed the effective collaboration between information systems researchers, clinical researchers, medical staff and administrative hospital personnel. This paper argues for a move towards enhancing systemic, participative, design-centered service systems engineering by reporting a case which applies these concepts for providing decision-support services, enabled by data and text mining techniques, to contribute to clinical research and administration by being able to search electronic health records where narrative text hides meaningful information that would otherwise require a time-consuming human revision of these records.

Lifecycle Governance for Effective Digital Twins: A Joint Systems Engineering and IT Perspective

2020 ◽  
Author(s):  
Paolo Pileggi ◽  
Elena Lazovik ◽  
Jeroen Broekhuijsen ◽  
Michael Borth ◽  
Jacques Verriet
Keyword(s):  
Systems Engineering ◽  
Digital Twins

Digital Twin for Smart Manufacturing: The Practitioner’s Perspective

2020 ◽  
Author(s):  
Maja Bärring ◽  
Björn Johansson ◽  
Goudong Shao
Keyword(s):  
Conceptual Development ◽  
Production Systems ◽  
Manufacturing Sector ◽  
Smart Manufacturing ◽  
Digital Twin ◽  
Adoption And Implementation ◽  
New Information ◽  
Digital Twins ◽  
Discrete Manufacturing ◽  
Design Production

Abstract The manufacturing sector is experiencing a technological paradigm shift, where new information technology (IT) concepts can help digitize product design, production systems, and manufacturing processes. One of such concepts is Digital Twin and researchers have made some advancement on both its conceptual development and technological implementations. However, in practice, there are many different definitions of the digital-twin concept. These different definitions have created a lot of confusion for practitioners, especially small- and medium-sized enterprises (SMEs). Therefore, the adoption and implementation of the digital-twin concept in manufacturing have been difficult and slow. In this paper, we report our findings from a survey of companies (both large and small) regarding their understanding and acceptance of the digital-twin concept. Five supply-chain companies from discrete manufacturing and one trade organization representing suppliers in the automotive business were interviewed. Their operations have been studied to understand their current digital maturity levels and articulate their needs for digital solutions to stay competitive. This paper presents the results of the research including the viewpoints of these companies in terms of opportunities and challenges for implementing digital twins.

Machine learning-based digital twins reduce seasonal remapping in aeroderivative gas turbines

2021 ◽  
pp. 1-7
Author(s):  
Nick Petro ◽  
Felipe Lopez
Keyword(s):  
Machine Learning ◽  
Ambient Temperature ◽  
Gas Turbines ◽  
Operating Conditions ◽  
Pilot Site ◽  
Digital Twin ◽  
Digital Twins ◽  
Machine Learning Model ◽  
Unacceptable Behavior ◽  
External Conditions

Abstract Aeroderivative gas turbines have their combustion set points adjusted periodically in a process known as remapping. Even turbines that perform well after remapping may produce unacceptable behavior when external conditions change. This article introduces a digital twin that uses real-time measurements of combustor acoustics and emissions in a machine learning model that tracks recent operating conditions. The digital twin is leveraged by an optimizer that select adjustments that allow the unit to maintain combustor dynamics and emissions in compliance without seasonal remapping. Results from a pilot site demonstrate that the proposed approach can allow a GE LM6000PD unit to operate for ten months without seasonal remapping while adjusting to changes in ambient temperature (4 - 38 °C) and to different fuel compositions.

Digital Twins: Review and Challenges

2021 ◽  
Vol 21 (3) ◽  
Author(s):  
Maria G. Juarez ◽  
Vicente J. Botti ◽  
Adriana S. Giret
Keyword(s):  
Computer Science ◽  
Industry 4.0 ◽  
Multi Agent System ◽  
Agent System ◽  
Digital Twin ◽  
Digital Twins ◽  
Science Approach ◽  
Multi Agent ◽  
Current Operating

Abstract With the arises of Industry 4.0, numerous concepts have emerged; one of the main concepts is the digital twin (DT). DT is being widely used nowadays, however, as there are several uses in the existing literature; the understanding of the concept and its functioning can be diffuse. The main goal of this paper is to provide a review of the existing literature to clarify the concept, operation, and main characteristics of DT, to introduce the most current operating, communication, and usage trends related to this technology, and to present the performance of the synergy between DT and multi-agent system (MAS) technologies through a computer science approach.

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