New Publication
"Augmenting energy efficiency in automotive paint ovens: a review of future prospects and potential for lean, six sigma, AI, and IoT integration"
IR4TD, together with the Mechanical Engineering Department, Jordan University of Science and Technology, published a new article on Management of Environmental Quality: An International Journal.
Key contributions:
- A literature review on energy use in automotive painting, identifying inefficiencies and potential improvements.
- A new six-phase GLSS-EnMS framework that aligns with ISO 50001:2018 for systematic energy management.
- Integration of AI-based Deep Learning Predictive Energy Modeling (DL-PEM) and real-time IoT sensor networks to enable automation, predictive maintenance, and energy optimization.
- Case studies and examples showing successful AI/IoT use in predictive control of paint ovens, energy modeling, and defect reduction.
- A practical implementation plan consisting of three stages: framework application, DL-PEM/IoT development, and pilot deployment with scalability.
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