The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Digital manufacturing-driven transformations of service supply chains for complex products
Abstract
Purpose: – The purpose of this paper is to explore the forms that combinations of digital manufacturing, logistics and equipment use are likely to take and how these novel combinations may affect the relationship among logistics service providers (LSPs), users and manufacturers of equipment. Design/methodology/approach: – Brian Arthur’s theory of combinatorial technological evolution is applied to examine possible digital manufacturing-driven transformations. The F-18 Super Hornet is used as an illustrative example of a service supply chain for a complex product. Findings: – The introduction of digital manufacturing will likely result in hybrid solutions, combining conventional logistics, digital manufacturing and user operations. Direct benefits can be identified in the forms of life cycle extension and the increased availability of parts in challenging locations. Furthermore, there are also opportunities for both equipment manufacturers and LSPs to adopt new roles, thereby supporting the efficient and sustainable use of digital manufacturing. Research limitations/implications: – The phenomenon of digital manufacturing-driven transformations of service supply chains for complex product does not yet fully exist in the real world, and its study requires cross-disciplinary collaboration. Thus, the implication for research is to use a design science approach for early-stage explorative research on the form and function of novel combinations. Practical implications: – Digital manufacturing as a general-purpose technology gives LSPs an opportunity to consolidate demand from initial users and incrementally deploy capacity closer to new users. Reengineering the products that a manufacture currently uses is needed to increase the utilization of digital manufacturing. Originality/value: – The authors outline a typology of digital manufacturing-driven transformations and identify propositions to be explored in further research and practice.
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Citations
Cites
Yoo, Y., Henfridsson, O., & Lyytinen, K. (2010) · Information Systems Research · doi:10.1287/isre.1100.0322 · Cited by 2,964
Performance Contracting in After-Sales Service Supply Chains
Kim, S.-H., Cohen, M. A., & Netessine, S. (2007) · Management Science · doi:10.1287/mnsc.1070.0741 · Cited by 520
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A systematic design approach for service innovation of smart product-service systems
Zheng, P., Lin, T.-J., Chen, C.-H., & Xu, X. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.08.101 · Cited by 414
Delic, M., & Eyers, D. R. (2020) · International Journal of Production Economics · doi:10.1016/j.ijpe.2020.107689 · Cited by 325
Rodríguez-Espíndola, O., Chowdhury, S., Beltagui, A., & Albores, P. (2020) · International Journal of Production Research · doi:10.1080/00207543.2020.1761565 · Cited by 308
Supply chain digitalization: past, present and future
Seyedghorban, Z., Tahernejad, H., Meriton, R., & Graham, G. (2020) · Production Planning & Control · doi:10.1080/09537287.2019.1631461 · Cited by 292
Metadata
- Authors
- Holmström, J., & Partanen, J.
- Venue
- Supply Chain Management: An International Journal
- Publisher
- Emerald
- Published
- 2014-06-03
- Volume
- 19
- Issue
- 4
- Pages
- 421-430
- ISSN
- 1359-8546 (ISSN-L)
- OpenAlex
- W1986847700
- Cited by
- 294
- References
- 2
- FWCI
- 37.10
- Type
- journal article
- Language
- en
- Open access
- closed
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- Holmström, J., & Partanen, J. (2014). Digital manufacturing-driven transformations of service supply chains for complex products. Supply Chain Management: An International Journal. https://doi.org/10.1108/scm-10-2013-0387
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.