Author
Abstract
This study presents a comprehensive and practical framework for developing a Digital Supply Chain Control Tower (DSCCT) as an evolution of Supply Chain Control Towers (SCCT). While SCCT concepts are widely discussed in academic literature, significant gaps remain in transformation of theory into executable digital architectures that integrate business processes, Entrprise Resource Planning (ERP) data, analytics, and autonomous capabilities. This research bridges that gap by proposing a five-layers DSCCT model: Master & Transaction Data, Visibility & Optimizer, Alert & Dashboard, Decision Support System (DSS), and Autonomous, supported by ERP systems, Data Warehousing, and advanced analytics such as Artificial Intelligence (AI), Machine Learning (ML), Big Data, and Internet of Thing (IoT). Using a mixed methodology of literature review, direct observation, and professional experience across multiple industries, the study identifies key challenges faced by Supply Chain (SC) practitioners and Information Technology (IT) developers, including siloed data, limited visibility, non-integrated KPIs, and difficulties converting narrative business needs into technical logic. The proposed model delivers structured guidance on building data foundations, designing KPIs, constructing dashboards, applying predictive and prescriptive analytics, and enabling automation. The study further recommends agile implementation methodology through pilot functions and emphasizes the importance of Environment, Social & Governance (ESG) data, organizational change management for long-term success, and to mitigate business risks. Discussions regarding DSCCT implementation have yet to extensively cover real-world industrial case studies. Given the current technological trends, complex business processes, intensifying market competition, and modern industrial challenges that prioritize the Triple Bottom Line (People, Planet, Profit), several recommendations of innovative technology and non-technical aspects for DSCCT development should be integrated into future research reports.
Suggested Citation
Sadarmadi Sapardiman, 2026.
"Digital Transformation: Supply Chain Control Tower Development,"
European Journal of Business and Management Research, European Open Science, vol. 11(3), pages 18-30, May.
Handle:
RePEc:epw:ejbmr0:v:11:y:2026:i:3:id:70347
DOI: 10.24018/ejbmr.2026.11.3.70347
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