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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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Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
A Mathematical Theory of Communication
Shannon, C. E. (1948) · The MIT Press eBooks · doi:10.1002/j.1538-7305.1948.tb00917.x · Cited by 50,387
Lakoff, G. P., & Johnson, M. L. (2003) · University of Chicago Press eBooks · doi:10.7208/chicago/9780226470993.001.0001 · Cited by 25,466
(1984) · Cited by 21,166
The Interpretation of Cultures
Dadze-Arthur, A. F. (2017) · Macat Library eBooks · doi:10.4324/9781912128310 · Cited by 16,510
The Mathematical Theory of Communication
Shannon, C. E., Weaver, W., & Wiener, N. (1950) · Physics Today · doi:10.1063/1.3067010 · Cited by 9,882
Philosophy in the flesh: the embodied mind and its challenge to Western thought
VEREZA, S. C. (1999) · Choice Reviews Online · doi:10.5860/choice.37-0239 · Cited by 9,849
Pandora's Hope: Essays on the Reality of Science Studies
Casper, M. J., & Latour, B. (2000) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2655272 · Cited by 5,022
Theory Construction as Disciplined Imagination
Weick, K. E. (1989) · Academy of Management Review · doi:10.5465/amr.1989.4308376 · Cited by 2,222
That's Interesting!: Towards a Phenomenology of Sociology and a Sociology of Phenomenology
Davis, M. S. (1971) · Philosophy of the Social Sciences · doi:10.1177/004839317100100211 · Cited by 1,219
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Zhuang, C., Liu, J., & Xiong, H. (2018) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-018-1617-6 · Cited by 700
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Jiang, H., Qin, S., Fu, J., Zhang, J., & Ding, G. (2020) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.05.012 · Cited by 286
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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
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- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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