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Management of virtual models with provenance information in the context of product lifecycle management: industrial case studies
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Production and Automation Engineering)ORCID iD: 0000-0001-7612-4470
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Production and Automation Engineering)ORCID iD: 0000-0003-0111-1776
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Production and Automation Engineering)ORCID iD: 0000-0001-7534-0382
2019 (English)In: Product Lifecycle Management (Volume 4): The Case Studies / [ed] John Stark, Cham: Springer, 2019, 1, p. 153-170Chapter in book (Refereed)
Abstract [en]

Using virtual models instead of physical models can help industries reduce the time and cost of developments, despite the time consuming process of building virtual models. Therefore, reusing previously built virtual models instead of starting from scratch can eliminate a large amount of work from users. Is having a virtual model enough to reuse it in another study or task? In most cases, not. Information about the history of that model makes it clear for the users to decide if they can reuse this model or to what extent the model is needed to be modified. A provenance management system (PMS) has been designed to manage provenance information, and it has been used with product lifecycle management system (PLM) and computer-aided technologies (CAx) to save and present historical information about a virtual model. This chapter presents a sequence-based framework of the CAx-PLM-PMS chain and two application case studies considering the implementation of this framework.

Place, publisher, year, edition, pages
Cham: Springer, 2019, 1. p. 153-170
Series
Decision Engineering, ISSN 1619-5736, E-ISSN 2197-6589
Keywords [en]
Virtual models, Provenance, Product lifecycle management, virtual models, CAx, Discrete event simulation, Meta model, Cutting simulation
National Category
Other Engineering and Technologies not elsewhere specified
Research subject
Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-17765DOI: 10.1007/978-3-030-16134-7_13ISBN: 978-3-030-16133-0 (print)ISBN: 978-3-030-16134-7 (electronic)OAI: oai:DiVA.org:his-17765DiVA, id: diva2:1358118
Projects
knowledge-driven decision making in Swedish industry (KDDS)Available from: 2019-10-07 Created: 2019-10-07 Last updated: 2021-03-30Bibliographically approved
In thesis
1. Managing virtual factory artifacts in extended product lifecycle management systems
Open this publication in new window or tab >>Managing virtual factory artifacts in extended product lifecycle management systems
2021 (English)Doctoral thesis, monograph (Other academic)
Abstract [en]

Reusing previously designed virtual models and the knowledge extracted from running them can reduce time and costs. Since these models are representations of physical artifacts, they have been built based on some criteria, assumptions, and limitations. Being aware of these criteria, assumptions, and limitations, as well as having information regarding things like the purpose of the virtual model, can help a user evaluate the model for reuse in another study. The knowledge gained by generating and using virtual models also offers a significant advantage when making decisions about whether to reuse them and how to reuse them in new studies and experiments. This historical information and knowledge can be derived from the engineering activities performed when creating and using those virtual models. The research presented in this dissertation deals with the management of virtual factory artifacts, including virtual models, their related data, and historical information and knowledge in product lifecycle management (PLM) platforms. Since PLM systems are developed to manage product- and production-related data, they are suitable for managing virtual models as well, but they are incapable of handling the knowledge generated without appropriate extension. Therefore this research focuses on extending PLM systems so that they can manage historical information related to virtual models, in addition to managing the data and knowledge generated, together with related engineering activities. This management will be based on various requirements, including saving, searching, and retrieving virtual factory artifacts in different projects, studies, and engineering activities. A new information model was developed taking into account four aspects of management, namely: (1) hierarchical structures in PLM systems and manufacturing data; (2) the lifecycle of manufacturing systems; (3) projects, studies, and experiments; and (4) engineering activities, provenance data, and knowledge management. In addition to managing knowledge extracted from virtual models and their utilization, ontology-based knowledge management for virtual models and engineering activities is also provided to build up an ontology in this domain. Ultimately, the developed information model was implemented in several application studies in the industry. These studies cover different types of virtual models from various levels of manufacturing systems. The applicability of the invented information model in these application studies has confirmed its capability to manage and link virtual factory artifacts in a PLM context.

Place, publisher, year, edition, pages
Skövde: University of Skövde, 2021. p. 154
Series
Dissertation Series ; 38
Keywords
Virtual models, product lifecycle management, information model, knowledge management, ontology, manufacturing data, provenance, manufacturing systems
National Category
Information Systems
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-19560 (URN)978-91-984919-2-0 (ISBN)
Public defence
2021-04-09, ASSAR, Skövde, 10:00 (English)
Opponent
Supervisors
Funder
Knowledge Foundation
Available from: 2021-03-30 Created: 2021-03-30 Last updated: 2023-10-30Bibliographically approved

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Morshedzadeh, ImanNg, Amos H. C.Amouzgar, Kaveh

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