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Product lifecycle management: the new paradigm for enterprises
Abstract
Product Lifecycle Management (PLM) is a developing paradigm. One way to develop an understanding of PLM's characteristic and boundaries is to propose models that help us conceptualise both holistic and component views in compact packages. Models can give us both a rich way of thinking about overall concepts and can identify areas where we need to explore issues that such models raise. In this paper, the author proposes and discusses two such related models, the Product Lifecycle Management Model (PLM Model) and the Mirrored Spaces Model (MSM) and investigates the conceptual and technical issues raised by these models.
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“In 2002, Michael Grieves, a professor at the University of Michigan, provided a conceptual description by introducing a three-component model related to Product Lifecycle Management (PLM) systems for manufacturing and was initially referred to as the”
From Digital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0 (2025) · cites this paper as [12]
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Metadata
- Authors
- Grieves, M. W.
- Corresponding author
- Grieves, Michael W.
- ORCID
- Grieves, Michael W.
- Venue
- International Journal of Product Development
- Publisher
- Inderscience Publishers
- Published
- 2005
- Volume
- 2
- Issue
- 1/2
- Pages
- 71
- ISSN
- 1477-9056 (ISSN-L)
- 1741-8178
- OpenAlex
- W2047355416
- Cited by
- 741
- References
- 19
- Citations by year
- 2026: 96 · 2025: 140 · 2024: 147 · 2023: 132 · 2022: 73 · 2021: 77 · 2020: 43 · 2019: 12 · 2018: 8 · 2017: 1 · 2016: 2 · 2012: 2
- FWCI
- 2.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Product Development (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Product Development and Customization
- Social Sciences › Business, Management and Accounting › Management Information Systems › ERP Systems Implementation and Impact
- Physical Sciences › Engineering › Control and Systems Engineering › Systems Engineering Methodologies and Applications
- Keywords
- product lifecycle management, conceptual model, product development
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