Identifying and Addressing Supply Chain Data Gaps: Impacts on Predictive Quality and CTQ Parameter Management in EV Battery Production
, Sumedha Vijayaram Kumar1
, Ramitha Sundar3
Journal of Engineering Research and Sciences, Volume 5, Issue 8, Page # 28-35, 2026; DOI: 10.55708/js0508002
Keywords: Supply Chain Management, Predictive Quality, Critical-to-Quality Parameters, EV Battery Production, Battery Passport, Digital Twin, Blockchain, Explainable AI, Data Integration
(This article belongs to the Special Issue on SP8 (Special Issue on Digital and Engineering Transformations in Science and Technology (SI-DETST-26)) and the Section Manufacturing Engineering (MNE))
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Ganapathiraman, S. , Kumar, S. V. , Bharadhwaj, A. , N, S. , Sundar, R. and Pullela, P. K. (2026). Identifying and Addressing Supply Chain Data Gaps: Impacts on Predictive Quality and CTQ Parameter Management in EV Battery Production. Journal of Engineering Research and Sciences, 5(8), 28–35. https://doi.org/10.55708/js0508002
Sundararaman Ganapathiraman, Sumedha Vijayaram Kumar, Akshaya Bharadhwaj, Suresh N, Ramitha Sundar and Phani Kumar Pullela. "Identifying and Addressing Supply Chain Data Gaps: Impacts on Predictive Quality and CTQ Parameter Management in EV Battery Production." Journal of Engineering Research and Sciences 5, no. 8 (August 2026): 28–35. https://doi.org/10.55708/js0508002
S. Ganapathiraman, S.V. Kumar, A. Bharadhwaj, S. N, R. Sundar and P.K. Pullela, "Identifying and Addressing Supply Chain Data Gaps: Impacts on Predictive Quality and CTQ Parameter Management in EV Battery Production," Journal of Engineering Research and Sciences, vol. 5, no. 8, pp. 28–35, Aug. 2026, doi: 10.55708/js0508002.
The supply chains for electric vehicles (EVs) have data gaps that hinder traceability, predictive quality control, and management of Critical-to-Quality (CTQ) parameters such as energy capacity, electrode uniformity, thermal stability, state of charge/health, and recyclability. This systematic literature review collates research on raw-material sourcing, manufacturing, in-use monitoring, secondlife applications, and recycling. Following a documented PRISMA-style protocol, the review maps data gaps, compares enabling technologies, and proposes an integrated framework linking the Internet of Things, blockchain, digital twins, AI, and battery/digital product passports. The results describe barriers to implementation and offer a roadmap toward reliable, transparent, and sustainable EV battery quality management.
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