The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Product platform design and customization: Status and promise
Open accessAbstract
In an effort to improve customization for today's highly competitive global marketplace, many companies are utilizing product families and platform-based product development to increase variety, shorten lead times, and reduce costs. The key to a successful product family is the product platform from which it is derived either by adding, removing, or substituting one or more modules to the platform or by scaling the platform in one or more dimensions to target specific market niches. This nascent field of engineering design has matured rapidly in the past decade, and this paper provides a comprehensive review of the flurry of research activity that has occurred during that time to facilitate product family design and platform-based product development for mass customization. Techniques for identifying platform leveraging strategies within a product family are reviewed along with metrics for assessing the effectiveness of product platforms and product families. Special emphasis is placed on optimization approaches and artificial intelligence techniques to assist in the process of product family design and platform-based product development. Web-based systems for product platform customization are also discussed. Examples from both industry and academia are presented throughout the paper to highlight the benefits of product families and product platforms. The paper concludes with a discussion of potential areas of research to help bridge the gap between planning and managing families of products and designing and manufacturing them.
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Citations
Cites
Design Rules: The Power of Modularity
Baldwin, C. Y., & Clark, K. B. (2000) · doi:10.7551/mitpress/2366.001.0001 · Cited by 3,504
Cited by
Bridging differing perspectives on technological platforms: Toward an integrative framework
Gawer, A. (2014) · Research Policy · doi:10.1016/j.respol.2014.03.006 · Cited by 1,869
“…exclusively through pricing Literature • Sanderson and Uzumeri (1995) • Brusoni (2005) • Gawer and Cusumano (2002) • Meyer and Lehnerd (1997) • Zirpoli and Becker (2011) • Baldwin and Woodard (2009) • Simpson (2004) • Sako (2009) • Boudreau (2010) • Eisenmann et al. (2011) n (au pace m 3 o s…”
BackgroundArchitectural Leverage: Putting Platforms in Context
Thomas, L. D. W., Autio, E., & Gann, D. M. (2014) · Academy of Management Perspectives · doi:10.5465/amp.2011.0105 · Cited by 639
Assembly system design and operations for product variety
Hu, S. J., Ko, J., Weyand, L., ElMaraghy, H. A., Lien, T. K., Koren, Y., Bley, H., Chryssolouris, G., Nasr, N., & Shpitalni, M. (2011) · CIRP Annals · doi:10.1016/j.cirp.2011.05.004 · Cited by 511
Evolving Paradigms of Manufacturing: From Mass Production to Mass Customization and Personalization
Hu, S. J. (2013) · Procedia CIRP · doi:10.1016/j.procir.2013.05.002 · Cited by 440
Bridging Differing Perspectives on Technological Platforms: Toward an Integrative Framework
Gawer, A. (2014) · Academy of Management Proceedings · doi:10.5465/ambpp.2014.278 · Cited by 319
Metadata
- Authors
- SIMPSON, T. W.
- Venue
- Artificial Intelligence for Engineering Design, Analysis and Manufacturing
- Publisher
- Cambridge University Press (CUP)
- Published
- 2004-02
- Volume
- 18
- Issue
- 1
- Pages
- 3-20
- ISSN
- 0890-0604 (ISSN-L)
- 1469-1760
- OpenAlex
- W2135548399
- Cited by
- 627
- References
- 1
- FWCI
- 49.27
- Type
- journal article
- Language
- en
- Open access
- bronze
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- SIMPSON, T. W. (2004). Product platform design and customization: Status and promise. Artificial Intelligence for Engineering Design, Analysis and Manufacturing. https://doi.org/10.1017/s0890060404040028
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.