Accessing servitisation potential of PLM data by applying the product avatar concept

Wuest, Thorsten; Hribernik, Karl; Thoben, Klaus‐Dieter

doi:10.1080/09537287.2015.1033494

Cited by 37 publications

(10 citation statements)

References 57 publications

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“…For the purpose of responding to a holistic CL2M, which includes the notions of services, service lifecycle and actors, the Product-Service Lifecycle Ontology (PSLO) was modelled. The model was described in OWL2, using the Protégé ontology editor [ 35 ], while taking advantage of this language, demonstrated in [ 8 , 11 , 13 , 36 , 37 , 38 ]. Inside PSLO, several object property relations between product-service-actor objects were established in view of reusing the physical product ontology model provided by PLM SOM.…”

Section: Semantic Framework For Cl2m Of Product-service In Iot: Comentioning

confidence: 99%

“…The upper ontology allows the reusability of other parts, including generic rules and inference mechanisms inside the extended models. The upper ontology of PSLO integrates the characteristics of Product-Service Systems and requirements for service lifecycle management presented in different works [ 8 , 9 , 10 , 11 , 12 , 13 , 36 , 37 , 38 , 40 , 41 ].…”

Section: Semantic Framework For Cl2m Of Product-service In Iot: Comentioning

confidence: 99%

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Closed-Loop Lifecycle Management of Service and Product in the Internet of Things: Semantic Framework for Knowledge Integration

Yoo

Grozel

Kiritsis

2016

Sensors

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This paper describes our conceptual framework of closed-loop lifecycle information sharing for product-service in the Internet of Things (IoT). The framework is based on the ontology model of product-service and a type of IoT message standard, Open Messaging Interface (O-MI) and Open Data Format (O-DF), which ensures data communication.(1) Background: Based on an existing product lifecycle management (PLM) methodology, we enhanced the ontology model for the purpose of integrating efficiently the product-service ontology model that was newly developed; (2) Methods: The IoT message transfer layer is vertically integrated into a semantic knowledge framework inside which a Semantic Info-Node Agent (SINA) uses the message format as a common protocol of product-service lifecycle data transfer; (3) Results: The product-service ontology model facilitates information retrieval and knowledge extraction during the product lifecycle, while making more information available for the sake of service business creation. The vertical integration of IoT message transfer, encompassing all semantic layers, helps achieve a more flexible and modular approach to knowledge sharing in an IoT environment; (4) Contribution: A semantic data annotation applied to IoT can contribute to enhancing collected data types, which entails a richer knowledge extraction. The ontology-based PLM model enables as well the horizontal integration of heterogeneous PLM data while breaking traditional vertical information silos; (5) Conclusion: The framework was applied to a fictive case study with an electric car service for the purpose of demonstration. For the purpose of demonstrating the feasibility of the approach, the semantic model is implemented in Sesame APIs, which play the role of an Internet-connected Resource Description Framework (RDF) database.

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Section: Semantic Framework For Cl2m Of Product-service In Iot: Comentioning

confidence: 99%

Section: Semantic Framework For Cl2m Of Product-service In Iot: Comentioning

confidence: 99%

Closed-Loop Lifecycle Management of Service and Product in the Internet of Things: Semantic Framework for Knowledge Integration

Yoo

Grozel

Kiritsis

2016

Sensors

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“…Considerations about the Product Avatar concept are closest to this idea (e.g. [26]). While the acquisition of product-related information in social networks is state of the art [27], this is not subject of this investigation.…”

Section: Literature Reviewmentioning

confidence: 99%

Information Gathering in Closed-Loop PLM Systems - Social Networks as Models for the Internet of Things?

Lewandowski

Thoben

2016

IFIP Advances in Information and Communication Technology

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Different recent approaches from the Product Lifecycle Management (PLM) or Internet-of-Things (IoT) area describe a product-centric view on data and information which are collected by different stakeholders and systems along the lifecycle in order to enhance retrospective analytics, predictive analytics, business decisions, etc. The purpose of this paper is to investigate the basic principles of information sharing, communication and collaboration in traditional human-centric social networks and discuss whether these can be applied to data and information exchange in the PLM/IoT sector. With respect to the methodology applied to this investigation, recent communication mechanisms in social networks as well as in product-centric IoT platforms are systemized and abstracted. Based on the transformation of social network means for IoT, possible improvements of IoT platforms are discussed, resulting in demonstrations of possible PLM usage. In summery, the paper draws implications about the adoption of valuable Social Network means for productcentric usage.

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“…They act as embedded information gathering devices linked to sensors, which are able to sense their environment and their condition and communicate the data gathered wirelessly. PEIDs are categorized according to their capabilities with regards to data storage and data processing [ 24 ]. In addition to these features, the devices’ ability to integrate sensors, as well as their options for network connectivity are used to distinguish different types of PEIDs.…”

Section: Fundamental Technologies and Concepts: A Literature Reviementioning

confidence: 99%

Cloud-Based Automated Design and Additive Manufacturing: A Usage Data-Enabled Paradigm Shift

Lehmhus

Wuest

Wellsandt

et al. 2015

Sensors

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Integration of sensors into various kinds of products and machines provides access to in-depth usage information as basis for product optimization. Presently, this large potential for more user-friendly and efficient products is not being realized because (a) sensor integration and thus usage information is not available on a large scale and (b) product optimization requires considerable efforts in terms of manpower and adaptation of production equipment. However, with the advent of cloud-based services and highly flexible additive manufacturing techniques, these obstacles are currently crumbling away at rapid pace. The present study explores the state of the art in gathering and evaluating product usage and life cycle data, additive manufacturing and sensor integration, automated design and cloud-based services in manufacturing. By joining and extrapolating development trends in these areas, it delimits the foundations of a manufacturing concept that will allow continuous and economically viable product optimization on a general, user group or individual user level. This projection is checked against three different application scenarios, each of which stresses different aspects of the underlying holistic concept. The following discussion identifies critical issues and research needs by adopting the relevant stakeholder perspectives.

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Accessing servitisation potential of PLM data by applying the product avatar concept

Cited by 37 publications

References 57 publications

Closed-Loop Lifecycle Management of Service and Product in the Internet of Things: Semantic Framework for Knowledge Integration

Closed-Loop Lifecycle Management of Service and Product in the Internet of Things: Semantic Framework for Knowledge Integration

Information Gathering in Closed-Loop PLM Systems - Social Networks as Models for the Internet of Things?

Cloud-Based Automated Design and Additive Manufacturing: A Usage Data-Enabled Paradigm Shift

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