Journal of Thermal and Fluid Science (JTFS)
Volume 6 · Issue 1 · May 2025 · pp 1-14
Research Article · Peer Reviewed
Received: February 15, 2025 · Accepted: April 20, 2025 · Published: May 15, 2025
DOI: 10.26706/jtfs.6.1.20250601
Open Access · CC BY 4.0

Numerical Solution of Diffusions Effects on Magnetohydrodynamic (MHD) Stagnation Point Nanofluid Flow with Chemical Reaction

Mohammed Garba1*, Garba Adamu Tahiru2, Abubakar Assidiq Hussaini3

1 Department of Mathematical Sciences, Sa’adu Zungur University Gadau, Bauchi, Nigeria.
2 Department of Mathematical Sciences, Sa’adu Zungur University Gadau, Bauchi, Nigeria.
3 Department of Mathematics, Abubakar Tafawa Balewa University Bauchi, Nigeria.

*Correspondence: ahabubakar.pg@atbu.edu.ng

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Abstract

Digital transformation has revolutionized the marketing sector through the installation of complex business control systems that maximize decision-making, business effectiveness, and customer experience. This article explains how these systems enable electronic records, networked automation, and intelligent analytics to enhance marketing performance. The study employs an extended RFM approach—introducing Customer Loyalty Age (CLA) and Customer Need Rate (CNR)—to assess renewal probability at the point-of-sale (POS). Findings show that aligning digital business control systems with extended RFM analysis enables POS operators and suppliers to predict customer renewal behavior, reduce lost sales risks, optimize inventory, and ensure timely product availability. The integration of digital control systems with advanced analytics offers real-time performance improvement and long-term strategic advantage in competitive markets.

Keywords

Thermal systems Fluid dynamics Heat transfer Computational modeling Energy systems

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