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Product lifecycle management with provenance management and virtual models: an industrial use-case study
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: 0000-0001-9690-890X
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 Informatics. University of Skövde, The Informatics Research Centre. (Information Systems)ORCID iD: 0000-0002-9421-8566
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2018 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 72, p. 6p. 1190-1195Article in journal (Refereed) Published
Abstract [en]

Saving and managing virtual models’ provenance information (models’ history) can increase the level of reusability of those models. This paper describes a provenance management system (PMS) that has been developed based on an industrial case study.

The product lifecycle management (PLM) system, as a main data management system, is responsible for receiving virtual models and their related data from Computer-Aided technologies (CAx) and providing this information for the PMS. In this paper, the management of discrete event simulation data with the PLM system will be demonstrated as the first link of provenance data management chain (CAx-PLM-PMS).

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 72, p. 6p. 1190-1195
Keywords [en]
Discrete event simulation, Provenance, Product lifecycle
National Category
Other Engineering and Technologies not elsewhere specified
Research subject
Production and Automation Engineering; Information Systems
Identifiers
URN: urn:nbn:se:his:diva-15920DOI: 10.1016/j.procir.2018.03.157ISI: 000526120800201Scopus ID: 2-s2.0-85049581305OAI: oai:DiVA.org:his-15920DiVA, id: diva2:1230467
Conference
51st CIRP Conference on Manufacturing Systems (CIRP CMS 2018), 16-18 May 2018, Stockholm, Sweden
Note

CC BY-NC-ND 4.0

Edited by Lihui Wang

Available from: 2018-07-03 Created: 2018-07-03 Last updated: 2022-07-15Bibliographically 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, ImanOscarsson, JanNg, Amos H. C.Jeusfeld, Manfred A.

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