Volume 02, Issue 8
Published on: August 2026
S-CURVE DYNAMICS IN MULTI-ECHELON SUPPLY-CHAIN RESILIENCE: A SPECTRAL FRAMEWORK BASED ON THE FKF TRANSFORM
Shinde SM
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Abstract
S-curves (logistic growth trajectories) are widely used to describe cumulative progress, technology adoption, and resilience recovery in complex systems. In multi-echelon supply chains the cumulative performance of inventory, lead-time compression, and disruption recovery frequently follows characteristic sigmoid patterns. This paper develops a spectral interpretation of S-curve dynamics by embedding logistic growth within the distributional and shift-invariant framework of the FKF transform. We show that the inflection point, growth-rate parameter and asymptotic capacity of an S-curve can be extracted from the spectral differential properties and residue structure of the associated FKF representation. The resulting methodology is applied to hybrid-vehicle supply networks and multi-scale logistics systems.
How to Cite this Paper
SM, S. (2026). S-CURVE DYNAMICS IN MULTI-ECHELON SUPPLY-CHAIN RESILIENCE: A SPECTRAL FRAMEWORK BASED ON THE FKF TRANSFORM. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(8), 1-8. https://doi.org/10.55041/ijcope.v2i8.222
SM, Shinde. "S-CURVE DYNAMICS IN MULTI-ECHELON SUPPLY-CHAIN RESILIENCE: A SPECTRAL FRAMEWORK BASED ON THE FKF TRANSFORM." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 8, 2026, pp. 1-8. doi:https://doi.org/10.55041/ijcope.v2i8.222.
SM, Shinde. "S-CURVE DYNAMICS IN MULTI-ECHELON SUPPLY-CHAIN RESILIENCE: A SPECTRAL FRAMEWORK BASED ON THE FKF TRANSFORM." International Journal of Creative and Open Research in Engineering and Management 02, no. 8 (2026): 1-8. https://doi.org/https://doi.org/10.55041/ijcope.v2i8.222.
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References
- Akarshan Gulhane, “Distributional Extension of the FKF Transform and Its Relevance to Supply-Chain Systems,” International Journal of Creative and Open Research in Engineering and Management ISSN: 3108-1754 (Online) Volume 02 Issue 08 Augustl-2026 , DOI: https://doi.org/10.55041/ijcope.v2i8.137
- Akarshan Gulhane,“Sequential Convergence in the Testing Function Space of the Two-Sided FKF Transform,” International Journal of Creative and Open Research in Engineering and Management ISSN: 3108-1754 (Online) Volume 02 Issue 08 Augustl-2026, DOI: https://doi.org/10.55041/ijcope.v2i8.138
- Akarshan Gulhane,“ Spectral Analysis for Multi Scale Supply Chain Dynamics and ResidueBased Resonance Extraction in Hybrid-Vehicle Systems,” International Journal of Creative and Open Research in Engineering and Management ISSN: 3108-1754 (Online) Volume 02 Issue 08 Augustl-2026, DOI: https://doi.org/10.55041/ijcope.v2i8.141
- Akarshan Gulhane,“ Shift-Invariant Spectral Analysis of Multi-Echelon Supply-Chain Lead Times via the FKF Transform,” International Journal of Creative and Open Research in Engineering and Management ISSN: 3108-1754 (Online) Volume 02 Issue 08 Augustl-2026, DOI: https://doi.org/10.55041/ijcope.v2i8.136
- Akarshan Gulhane,“ Spectral Framework Based on the FKF Transform for Supply Chain Dynamics and Resilience,” International Journal of Creative and Open Research in Engineering and Management ISSN: 3108-1754 (Online) Volume 02 Issue 08 Augustl-2026, DOI: https://doi.org/10.55041/ijcope.v2i8.140
- Akarshan Gulhane,“ Spectral Differential Properties of the Distributional FKF Transform with Applications to Resilient Supply-Chain Systems,” International Journal of Creative and Open Research in Engineering and Management ISSN: 3108-1754 (Online) Volume 02 Issue 08 Augustl-2026, DOI: https://doi.org/10.55041/ijcope.v2i8.139
- Akarshan Gulhane,“ FKL Transform Key Properties, And Applications To Supply-chain Analysis,” International journal of Engineering sciences and Advanced Technology, Published:11-12-2025, Issue: Vol. 25 No. 12 (2025), Page Nos: 596-605, DOI: Https://doi.org/10.64771/ijesat.2025.v25.i12.3816
- Akarshan Gulhane,“ Expanded Treatment Of The Time-Shift Property Of FKF Transform With Supply-Chain Applications,” International journal of Engineering sciences and Advanced Technology, Published:11-12-2025, Issue: Vol. 25 No. 12 (2025), Page Nos: 606 – 616, DOI: Https://doi.org/10.64771/ijesat.2025.v25.i12.3817
- Akarshan Gulhane,“ The FKF Transform: Exponential Modulation Properties And Applications To Secure Digital Supply-Chain Networks,” International journal of Engineering sciences and Advanced Technology, Published:11-12-2025, Issue: Vol. 25 No. 12 (2025), Page Nos: 617 – 623, DOI: Https://doi.org/10.64771/ijesat.2025.v25.i12.3818
- Akarshan Gulhane, “Spectral Differential Properties of the Distributional FKF Transform with Applications to Resilient Supply-Chain Systems,” International Journal of Creative and Open Research in Engineering and Management ISSN: 3108-1754 (Online) Volume 02 Issue 08 Augustl-2026, DOI: https://doi.org/10.55041/ijcope.v2i8.139.
- SM Harle,“Artificial Intelligence for Supply Chain Risk Prediction and Mitigation: A Systematic Review, Conceptual Framework, and Future Research Agenda,” International Research Journal of Modernization in Engineering Technology and Science, Vol. 8, pp. 70–80, July 2026.
- SM Harle, “Artificial Intelligence-Driven Framework for Village-Level Water Conservation and Groundwater Sustainability,” International Research Journal of Modernization in Engineering Technology and Science, Vol. 8, pp. 31–49, July 2026.
- M. Harle et al., “Artificial Intelligence Approaches for Strength Prediction and Optimization of Composite Concrete Mixtures: A Systematic Review and Future Research Framework,” International Research Journal of Modernization in Engineering Technology and Science, Vol. 8, pp. 81–97, July 2026.
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