A Model-Based Approach for the Design of Cyber-Physical Human Systems Emphasizing Human Concerns

Kotronis, Christos; Routis, Ioannis; Tsadimas, Anargyros; Νικολαϊδου, Μάρα; Anagnostopoulos, Dimosthenis

doi:10.1109/iciot.2019.00028

Cited by 10 publications

(4 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Cyber physical system (CPS) is a physical and virtual engineering system that, through centralized communication, operate, control and integrate all the tasks that are programmed (Rajkumar, Lee, Sha, & Stankovic, 2010). CPS allows the creation of physical and virtual models that integration with each other (Ding et al, 2019;Kotronis, Routis, Tsadimas, Nikolaidou, & Anagnostopoulos, 2019). Also, the CPS can manage the physical and virtual entities allowing the implementation of other 4.0 technologies in different scenarios.…”

Section: Justification and Problem Statementmentioning

confidence: 99%

“…On the other hand Human Cyber-Physical Systems (H-CPS) create a scenery where humans and interconnected systems work in harmony (Kotronis et al, 2019). The role of humans within these structures is that of creation, management and operation (Pinzone et al, 2020).…”

Section: Justification and Problem Statementmentioning

confidence: 99%

“…( Kotronis et al, 2019) Human cyber physical system Explore the applicability of the proposed approach in the design of a Remote Elderly Monitoring System…”

Section: Digital Twinmentioning

confidence: 99%

“…Table 1: integrations found in the literature formulation of HCPS could have two contrasting viewpoints, the System view and the human centered. The system views the human provided benefits or tasks and the system supports them, subsequently the human center is concentrated in the human's tacks (Kotronis et al, 2019).…”

Section: Digital Twinmentioning

confidence: 99%

See 3 more Smart Citations

Smart workstation of a cyber physical production system with digital human awareness

Morales¹

View full text Add to dashboard Cite

La cuarta revolución industrial es una transformación de los modelos de manufactura y servicios mediante la aplicación de tendencias digitales y nuevas tecnologías que permitan la flexibilización de los procesos y la creación de nuevos de mercados en las compañías. Las industrias actuales buscan una satisfacción elevada del cliente y un manejo eficiente de la cadena de abastecimiento que le permita permanecer en el entorno incierto y mercado volátil en el cual se encuentra. Mediante este enfoque nace los Sistemas Ciberfisicos, encargados de la coordinación y manejo de los diferentes componentes, siendo una tecnología habilitadora en el contexto de la transformación digital. Por otra parte, es innegable el aporte del capital humano en los procesos productivos. A pesar de esto, son pocos los avances que se tienen para la integración de los humanos dentro de los sistemas productivos de la cuarta revolución industrial. Mediante la articulación entre los sistemas ciberfisicos y nuevas tecnologías como lo es el Digital Twin, el presente trabajo busca brindar un modelo que tenga en cuenta el comportamiento del humano dentro del sistema sin afectar la eficiencia operativa.

show abstract

Section: Justification and Problem Statementmentioning

confidence: 99%

Section: Justification and Problem Statementmentioning

confidence: 99%

“…( Kotronis et al, 2019) Human cyber physical system Explore the applicability of the proposed approach in the design of a Remote Elderly Monitoring System…”

Section: Digital Twinmentioning

confidence: 99%

Section: Digital Twinmentioning

confidence: 99%

See 2 more Smart Citations

Smart workstation of a cyber physical production system with digital human awareness

Morales¹

View full text Add to dashboard Cite

show abstract

A Rapid Review of How Model‐based Systems Engineering is Used in Healthcare Systems

Xames,

Topcu

2024

INCOSE International Symp

View full text Add to dashboard Cite

This study presents the results from rapid review of how model‐based systems engineering (MBSE) is utilized in healthcare systems (HSs). We conduct a review of the last twelve years and find that MBSE adoption in HSs is accelerating, with use of various MBSE languages and tools, as well as their integration with other simulation and modeling techniques. We find that similar to engineered systems, the most common MBSE language is systems modeling language (SysML), followed by unified modeling language (UML) and others. Additionally, we observe that MBSE methods are frequently used in conjunction with other analytical techniques, such as simulation and co‐simulations, to analyze and enhance various HS operations, or to assist with making tradeoffs between HS attributes such as quality and cost. Moreover, we provide a non‐exhaustive classification of current research based on two dimensions: healthcare applications and MBSE use cases. Notably, MBSE is being implemented generally with patient‐centric objectives in various HS domains, including IoT‐enabled smart healthcare, clinical medicine, medical device development, healthcare process enhancement, and healthcare facilities management. While the primary MBSE use case involves modeling different aspects of healthcare operations, there is a significant number of studies that pursue requirements engineering, systems analysis, integration, verification and validation, as well as risk analysis and management. Furthermore, we identify two promising research gaps. First, there is a need for the integration of MBSE with state‐of‐the‐art data‐driven analytical methodologies such as hybrid simulation and artificial intelligence techniques. Second, HSs could greatly benefit from representing the cognitive functions and processes of human decision‐makers in the loop, such as healthcare providers (e.g., doctors and nurses), who are instrumental in sustaining the HS performance and functionality. We contend that MBSE and other SE methods and techniques could improve HSs design, operations, and management; while fostering resilience and long‐term sustainability.

show abstract

Leveraging Quality of Service and Cost in Cyber-Physical Systems Design

Kotronis

Tsadimas

Νικολαϊδου

et al. 2019

Economics of Grids, Clouds, Systems, and Services

View full text Add to dashboard Cite

A Model-Based Approach for the Design of Cyber-Physical Human Systems Emphasizing Human Concerns

Cited by 10 publications

References 20 publications

Smart workstation of a cyber physical production system with digital human awareness

Smart workstation of a cyber physical production system with digital human awareness

A Rapid Review of How Model‐based Systems Engineering is Used in Healthcare Systems

Leveraging Quality of Service and Cost in Cyber-Physical Systems Design

Contact Info

Product

Resources

About