Abstract
The application of Digital Twins (DTs) has gained traction across industrial and manufacturing organizations. The adoption and implementation of Digital Twins invariable requires the business case to pass muster before the allocation of resources to a specific project. The bar is even higher if Digital Twins are to be adopted and encouraged within an enterprise as a way of doing business and as a way of thinking about complex problems. For individual projects within an organization, it is crucial to access technologies and methodologies that repeatedly have a high probability of achieving success. This includes adoption of a general framework where the organization can gain confidence from learnings across projects and to develop trusted general processes and tools that lift the level of practice across the organization over time. The Composable Digital Twin is such an approach and has at its core several important features. It offers re-use of effort, accelerated time to results, general applicability, and the dynamic range to address both simple and complex issues within an enterprise at scale. The building of enterprise capabilities and the development of project specific Digital Twins also requires processes management techniques that minimize risk and build confidence. The Lean Digital Twin exploits the idea of a minimum viable product and lean and agile development techniques for managing DT development projects. It provides a set of steps for guiding Digital Twin projects while aligning business goals and outcomes with technical capabilities across a project’s lifecycle. It also emphasizes the accomplishment of early results. The Chapter explores and illustrates the importance of both ideas, composable and lean DTs, with step by step descriptions and fielded examples.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Gartner, use Gartner’s reference model to deliver intelligent composable business applications, Natis et al., 14 Oct 2020.
Wikipedia Contributors. (2019, August 10). Here be dragons. Wikipedia. [Online]. Available: https://en.wikipedia.org/wiki/Here_be_dragons
Qi, Q., & Tao, F. (2012). Digital Twin and big data towards smart manufacturing and industry 4.0: 360 Degree comparison – IEEE Journals & Magazine. IEEE.org. [Online]. Available: https://ieeexplore.ieee.org/document/8258937
Power, B. (2014). How GE applies lean startup practices. Harvard Business Review. [Online]. Available: https://hbr.org/2014/04/how-ge-applies-lean-startup-practices
Ries, E. (2017). The lean startup: How today’s entrepreneurs use continuous innovation to create radically successful businesses. Currency.
Maurya, A. (2017). Running lean: Iterate from Plan A to a plan that works. O’Reilly.
The Lean Startup is NOT enough Leanstack.com, 2019. [Online]. Available: https://leanstack.com/library/categories/fundamentals/courses/what_is_continuous_innovation/lessons/lean_startup_not_enough
Osterwalder, A., & Pigneur, Y. (2010). Business model generation: A handbook for visionaries, game changers, and challengers. Wiley.
Wikipedia Contributors. (2019, September 10). Analysis paralysis. Wikipedia. [Online]. Available: https://en.wikipedia.org/wiki/Analysis_paralysis
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
van Schalkwyk, P., Isaacs, D. (2023). Achieving Scale Through Composable and Lean Digital Twins. In: Crespi, N., Drobot, A.T., Minerva, R. (eds) The Digital Twin. Springer, Cham. https://doi.org/10.1007/978-3-031-21343-4_6
Download citation
DOI: https://doi.org/10.1007/978-3-031-21343-4_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-21342-7
Online ISBN: 978-3-031-21343-4
eBook Packages: Computer ScienceComputer Science (R0)