Systematization of Virtual Product Twin Models in the Context of Smart Product Reconfiguration during the Product Use Phase

Abramovici, Michael; Savarino, Philipp; Göbel, Jens Christian; Adwernat, Stefan; Gebus, Philip

doi:10.1016/j.procir.2017.11.025

Cited by 12 publications

(3 citation statements)

References 7 publications

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“…In a recent survey paper, Zhang et al (2019) investigate the literature on the role of digital twins in product services, and find only a few relevant publications. Among those, Abramovici et al (2018) is perhaps the most noticeable study. It conceptually discusses the potential use of digital twins for after-sale services of products.…”

Section: Applications Of S3 In Operations Managementmentioning

confidence: 99%

Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making

Onggo

Corlu

Juan

et al. 2020

Enterprise Information Systems

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A symbiotic simulation system (S3), sometimes also called a 'digital twin', enables interactions between a physical system and its computational model representation. With the goal of supporting operational decisions, an S3 uses real-time data from the physical system, which is gathered via sensors. This real-time data is also saved in an enterprise data storage system (EDSS), so it can be used as historical data for future use. Both real-time and historical data are then used as inputs to the different components of an S3, which typically comprises several modules: data acquisition, simulation, optimisation, machine learning, and an 'actuator'. The latter is needed when there is not a human agent between the S3 and the system. Given the amount of data generated by today's smart systems, an S3 needs to be coupled with an EDSS. Furthermore, the S3 may produce a large amount of output data that needs to be stored, since it might be re-used by the machine learning module to make the S3 adaptive in dynamic scenarios. With the goal of supporting real-time operational decision-making -specially in Industry 4.0 applications such as smart cities, smart factories, intelligent transportation systems, and digital supply chains -, this paper proposes a generic system architecture for an S3 and discusses its integration within EDSSs. Moreover, the paper reviews the state-of-the-art in S3, and analyses how these systems can interact with EDSSs to make real-time decision making a reality. Finally, the paper also points out several research challenges in S3.

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Section: Applications Of S3 In Operations Managementmentioning

confidence: 99%

Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making

Onggo

Corlu

Juan

et al. 2020

Enterprise Information Systems

View full text Add to dashboard Cite

show abstract

“…The radical change from traditional products towards "smart" products or more precisely cyber-physical systems (CPS) emphasizes the need for a unified data acquisition and traceability approach, which supports the fusion of real and virtual systems [2]. These cyber-physical systems have the ability to communicate and interact with their environment and other products by using Internet of Things (IoT) technologies and web-based services [3], [4], with the consequence of an increased amount and heterogeneity of product related information. This significantly complicates the information exchange and provision for later usage.…”

Section: Introductionmentioning

confidence: 99%

An Ontology-Based Concept to Support Information Exchange for Virtual Reality Design Reviews

Adwernat

Wolf

Gerhard

2020

IFIP Advances in Information and Communication Technology

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The current change of traditional products towards intelligent, connected cyber-physical systems (CPS) increases the amount of heterogenous data and models generated throughout the products' life cycle stages, starting from their development and reaching as far as reconfigurations in the product use phase. As CPS are highly modular and often customizable by the user, the management and decision support regarding product variants is critical. Mastering the vast complexity of these product-type and product-instance-related information has become one of the main challenges in modern engineering.In previous works, the authors presented different mixed reality (MR) approaches as suitable tools to integrate product-related information and facilitate the interaction with digital contents such as product manufacturing information (PMI) and inspection characteristics for design reviews or real-time sensor values to support maintenance tasks.This contribution proposes an ontology-based concept to facilitate the information exchange from distributed data sources for mixed reality usage and vice versa. The goal of this paper is to improve the information provision and interaction within a collaborative Virtual Reality-driven design review process for CPS. The ability of ontologies for querying and reasoning of linked information supports the comparison of design variants and feedback integration from design reviews of previous or existing product generations as well as allocating relevant design review metrics such as requirements, simulation results, costs or product use data. The capability of CPS to call upon services from other Industrie 4.0 components opens up a way to implement said ontology to meet today's engineering challenges.

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“…Some researchers have already realized the necessity of extracting requirements during the lifecycle [68] and the importance of using real-time data in the usage stage [69]. With the digitalization of physical products, e.g., via the digital twin, and the maturity of ICT techniques, a large volume and a greater variety of data can be collected; moreover, products or PSSs have the capability of reconfiguring themselves [70], which render extracting requirements in the usage stage, and accordingly, improvement in the Smart PSS possible.…”

Section: Requirement Elicitation In Pss and Smart Pssmentioning

confidence: 99%

A graph-based methodology for context-aware smart product-service system concept development

Wang¹

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and my cosupervisor, Professor Khoo Li Pheng (Nanyang Technological University), for their invaluable guidance, encouragement, and advice for this thesis. Without you, neither my academic understanding nor this thesis could be possible. Professor Chen, special thanks for allowing me to be your Ph.D. student. The journey of earning my Ph.D. study was, indeed, a precious experience in my life. It broadened my thought, taught me critical thinking skills, how to conduct an academic research study, and how to be a professional scholar who was willing to take up challenges and never give up. Professor Khoo, you are a truly respectable professor and scholar that you prioritize your work, your research, and your students before yourself. You showed the rigorous attitude towards teaching and doing research. I cherish and will always remember the time that discussed with you. I would like to thank Professor Moon Seung Ki, Professor Wu Kan, and Professor Milton Borsato for your time and enlightening advice in assessing my qualifying exam. Professor Zheng Pai, thank you for your time and patience in instructing me how to become a qualified scholar. Your passion for research, sharing knowledge, and writing style encouraged me considerably and set an excellent example for me to follow. Dr. Li Xinyu, thank you for your kind support and collaboration on the research projects. It has been a great pleasure to work with you as a team.

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Systematization of Virtual Product Twin Models in the Context of Smart Product Reconfiguration during the Product Use Phase

Cited by 12 publications

References 7 publications

Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making

Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making

An Ontology-Based Concept to Support Information Exchange for Virtual Reality Design Reviews

A graph-based methodology for context-aware smart product-service system concept development

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