Albayrak B, Krüger J, Reichenstein T, Franke J, Sindel T, Fürst J (2026)
Publication Type: Journal article
Publication year: 2026
Original Authors: Baris Eray Albayrak, Jan Hinrich Krüger, Tobias Reichenstein, Jörg Franke, Till Sindel, Jens Fürst
Book Volume: 146
Pages Range: 732-737
DOI: 10.1016/j.procir.2026.03.259
Global manufacturing supply chains face increasing vulnerability due to rising complexity and frequent disruptions, while Digital Industrial Platforms (DIPs) are seen as potential enablers of resilience whose specific contributions remain insufficiently understood. This work therefore examines how DIP mechanisms systematically support the development of resilience capabilities across global manufacturing networks. The Interpretive Structural Modeling (ISM) analysis identifies Connectivity & Interoperability, Data Management & Analysis, and Pricing & Monetisation as foundational enablers, while higher-level mechanisms such as Traceability, Value Creation & Growth, and Incentives & Output strengthen key resilience capabilities including Visibility, Redundancy, Agility, Flexibility, and Collaboration. The results show that DIPs provide a multilayered structure that integrates technological, economic, and governance mechanisms to enhance adaptive and robust supply chain behavior under volatility. Consequently, DIPs support both operational continuity during disruptions and the long-term competitiveness of platform-enabled ecosystems.
APA:
Albayrak, B., Krüger, J., Reichenstein, T., Franke, J., Sindel, T., & Fürst, J. (2026). Analysis of Digital Industrial Platform-Driven Supply Chain Resilience: An Interpretive Structural Modelling Approach. Procedia CIRP, 146, 732-737. https://doi.org/10.1016/j.procir.2026.03.259
MLA:
Albayrak, Baris, et al. "Analysis of Digital Industrial Platform-Driven Supply Chain Resilience: An Interpretive Structural Modelling Approach." Procedia CIRP 146 (2026): 732-737.
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