Product Lifecycle Information Management with Digital Twin: A Case Study

Yousefnezhad, Narges; Malhi, Avleen; Kinnunen, Tuomas; Huotari, Matti; Framling, Karv

doi:10.1109/indin45582.2020.9442208

Cited by 10 publications

(10 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a result of the establishment of each of these cyber systems, a product's life cycle was divided into three stages, which are what is known as the biggening of the life cycle (BoL), the middle part of the life cycle (MoL), and the end of the life cycle (EoL). [17] shown in Figure (2).…”

Section: Theoretical Background Of the Product Life Cycle And The Dig...mentioning

confidence: 98%

“…When data is gathered from several sources, Digital Twin (DT) aids in data integration by analyzing hidden patterns that would have been impossible to find from just one source of information, and the incorporation for artificial intelligence (AI) techniques in Digital Twin (DT) aids in improving thinking and problemsolving. So, by combining manufacturing processes and boosting production scheduling in manufacturing implementation, digital twin has the potential to increase performance by providing exceptional goods at the lowest logical cost [6,17]. Grieves created this brand-new idea as a way to build products that match design standards and combine it with the idea of a product's lifespan cycle.…”

Section: Concept Of Digital Twinmentioning

confidence: 99%

See 1 more Smart Citation

Digital Twin of Product Life Cycle

2024

مجلة الدلتا الدولية للعلوم التجارية ونظم المعلومات

View full text Add to dashboard Cite

The goal of this study is to investigate the theoretical underpinnings of smart manufacturing's use of digital twins, product life cycles, and cyber-physical systems. By integrating the flow of information as well as data throughout all phases of corporate operations, digitization is the foundation that enables swift reaction to constantly changing business environments. One of the 4th Fourth Revolution's technologies, known as a "digital twin," has emerged in reaction to the advancement of manufacturing techniques, goods, and services. Production goods and systems are no longer sophisticated systems that carry out their tasks and meet quality standards; they now also interact with other parts, goods, and services through the Internet of Things via cyber networks. According to this article, the concept of a digital twin hinges on controlling the full product life cycle through the integration of the physical and virtual worlds via cyber-physical systems through cyberspace. Additionally, it demonstrates how digital twin processes and analyzes data using machines learning, AI, IoT sensors, computing in the cloud, and virtual modeling to support development and decisionmaking. In order to boost industrial productivity, cut costs, forecast failures and unexpected stops, and perform predictive maintenance, it was required to create a convergence within the material universe and cyber domains.

show abstract

Section: Theoretical Background Of the Product Life Cycle And The Dig...mentioning

confidence: 98%

Section: Concept Of Digital Twinmentioning

confidence: 99%

Digital Twin of Product Life Cycle

2024

مجلة الدلتا الدولية للعلوم التجارية ونظم المعلومات

View full text Add to dashboard Cite

show abstract

“…As seen in Figure 2 , the IoT partly shares a common scope with both PLIM and DTs; however, a DT covers most of the implications in PLIM. A DT is a virtual replica of a physical entity that enables the information to be handled in a virtual enterprise [ 6 ]. By applying a DT, all information requests for a given physical product would be achievable over a single address on the Internet throughout the lifecycle, specifically during the design and service phases.…”

Section: Related Workmentioning

confidence: 99%

“…Furthermore, to implement such a management system, we propose a security architecture with an ongoing process over the lifecycle. On the other hand, it would be beneficial if such architecture was combined with the digital twin (DT) concept and its elements, including a physical space, a virtual space, and their connections, as implemented in a smart campus (see more information in [ 6 ]), because managing lifecycle information and access to it through a DT makes security easier to establish, even though the actual information might be distributed over many systems.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Security Architecture for Information Management throughout the Lifecycle of IoT Products

Yousefnezhad

Malhi

Keyriläinen

et al. 2023

Sensors

Self Cite

View full text Add to dashboard Cite

The Internet of things (IoT) is expected to have an impact on business and the world at large in a way comparable to the Internet itself. An IoT product is a physical product with an associated virtual counterpart connected to the internet with computational as well as communication capabilities. The possibility to collect information from internet-connected products and sensors gives unprecedented possibilities to improve and optimize product use and maintenance. Virtual counterpart and digital twin (DT) concepts have been proposed as a solution for providing the necessary information management throughout the whole product lifecycle, which we here call product lifecycle information management (PLIM). Security in these systems is imperative due to the multiple ways in which opponents can attack the system during the whole lifecycle of an IoT product. To address this need, the current study proposes a security architecture for the IoT, taking into particular consideration the requirements of PLIM. The security architecture has been designed for the Open Messaging Interface (O-MI) and Open Data Format (O-DF) standards for the IoT and product lifecycle management (PLM) but it is also applicable to other IoT and PLIM architectures. The proposed security architecture is capable of hindering unauthorized access to information and restricts access levels based on user roles and permissions. Based on our findings, the proposed security architecture is the first security model for PLIM to integrate and coordinate the IoT ecosystem, by dividing the security approaches into two domains: user client and product domain. The security architecture has been deployed in smart city use cases in three different European cities, Helsinki, Lyon, and Brussels, to validate the security metrics in the proposed approach. Our analysis shows that the proposed security architecture can easily integrate the security requirements of both clients and products providing solutions for them as demonstrated in the implemented use cases.

show abstract

“…This case mainly concentrated on the information management of the building lifecycle using the DT concept [66]. It was developed according to the system-based product lifecycle information management (PLIM) system throughout the building phases.…”

Section: Dt Technological Framework Of Case Cmentioning

confidence: 99%