Author ORCID Identifier
https://orcid.org/0009-0005-6746-308X
Submitted By
Chemenova LLC
Organization/School Name
New Jersey Institute of Technology
Grade Level Represented
Other
Files
Download Full Text (489 KB)
Document Type
Article
Description
The chemical and pharmaceutical manufacturing sectors are evolving toward intelligent, adaptive production systems. This white paper explores how AI-enabled machinery and connected equipment are transforming chemical process efficiency, product quality, and sustainability. Drawing from conceptual case studies at ChemRich USA and ChemeNova LLC, we propose a framework where AI models interface with real-time machine data from centrifuges, filters, reactors, and mixers to enhance formulation, reduce downtime, and enable on-demand customization. The result is a more agile, data-driven, and sustainable manufacturing paradigm.
Publication/Submission Date
Summer 8-5-2025
Keywords
1. Smart Manufacturing, 2. Artificial Intelligence, 3. Chemical Engineering, 4. Formulation Optimization, 5. Process Automation, 6. Pharma Machinery, 7. Predictive Analytics, 8. Industry 4.0, 9. Chemical Production Efficiency
Disciplines
Process Control and Systems
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Makani, Shehan S., "Smart Manufacturing in Chemicals" (2025). STEM for Success Showcase. 104.
https://digitalcommons.njit.edu/stemshowcase/104
