Industrie 4.0 roadmap: Framework for digital transformation based on the concepts of capability maturity and alignment
Open accessAbstract
Adopting digital transformation and Industrie 4.0 concepts is increasingly important for manufacturing companies acting in dynamic and competitive markets. In practice, however, these organizations struggle with implementing those concepts because Industrie 4.0 is rather a concept than a ready-to-implement solution. Additionally, its complexity hinders the achievement of successfully implementing Industrie 4.0 systems that truly incorporate all organizational aspects and levels. This paper introduces a framework to evaluate and guide Industrie 4.0 implementations, which build upon insights from capability maturity and alignment. Based on this, organizations can develop their own “roadmap” to increase the success of their Industrie 4.0 adoption.
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Only a few academic DTMs propose conducting pilot projects [51,56,57].
“Only a few DTMs retrieved from the academic literature propose conducting pilot projects [51,56,57].”
From Digital Transformation Models for the I4.0 Transition: Lessons from the Change Management Literature (2021) · cites this paper as [51]
In §1.1, the paper describes existing pilot projects as inadequate for full digital transformation because they overlook organizational factors. Its proposed roadmap (§2.3) instead emphasizes an integrative approach; the cited paper does not propose conducting pilot projects. (LLM, conf=0.73)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredIssa et al.'s framework was built on a literature review and then empirically validated through a case study in a German manufacturing company.
“This framework was built on a literature review and then empirically validated through a case study in a German manufacturing company.”
From Digital Transformation Models for the I4.0 Transition: Lessons from the Change Management Literature (2021) · cites this paper as [51]
Section 1.2 says the roadmap model was developed through a literature review and an empirical validation case study. Section 3 describes its application to a medical-supplies manufacturer, but does not identify the company as German; that location is not supported by our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measuredIssa et al. [51] developed a framework to guide manufacturing organizations in the implementation of I4.0, with proposed steps for the development of an I4.0 roadmap: (1) task-force set-up; (2) digitalization assessment; (3) focus definition; (4) use-case idea generation; (5) use-case impact estimation; and (6) use-case selection.
“Issa et al. [51] developed a framework to guide manufacturing organizations in the implementation of I4.0.”
From Digital Transformation Models for the I4.0 Transition: Lessons from the Change Management Literature (2021) · cites this paper as [51]
Issa et al. [51] and Butt [58] are the only academic DTMs that envisage creation of an ad-hoc task force to organize and manage digital transformation.
“From an organizational perspective, the DTMs provided by Issa et al. [51] and Butt [58] are the only academic models that envisage the creation of an ad-hoc task force to organize and manage the digital transformation initiative.”
From Digital Transformation Models for the I4.0 Transition: Lessons from the Change Management Literature (2021) · cites this paper as [51]
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Identifying and Prioritizing Digital Transformation Elements Using Fuzzy Analytic Hierarchy Process
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- Authors
- Issa, A., Hatiboglu, B., Bildstein, A., & Bauernhansl, T.
- Affiliations
- Fraunhofer Institute for Manufacturing Engineering and Automation (DE)
- Corresponding author
- Issa, Ahmad
- Venue
- Procedia CIRP
- Publisher
- Elsevier BV
- Published
- 2018
- Volume
- 72
- Pages
- 973-978
- ISSN
- 2212-8271 (ISSN-L)
- OpenAlex
- W2809993423
- Cited by
- 222
- References
- 16
- Citations by year
- 2026: 11 · 2025: 12 · 2024: 40 · 2023: 38 · 2022: 40 · 2021: 35 · 2020: 35 · 2019: 9 · 2018: 2
- FWCI
- 16.73
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Procedia CIRP (publishedVersion, cc-by-nc-nd)
- Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion, other-oa)
- Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
- Keywords
- Industry 4.0, digital transformation, capability maturity, strategic alignment, implementation roadmap, manufacturing companies, technology adoption, implementation success
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