Engineering, data and better industrial decisions

Explore Michael Matonya’s work in process mining, industrial automation, AI applications, sustainable manufacturing and engineering maintenance.

Process mining and production traceability

Production systems leave event records across machines, orders and materials. Process mining uses those records to investigate how work actually flows, including rework, delays and deviations from an intended process. Object-centric approaches keep relationships between different production objects visible. Michael’s published work examines these methods for manufacturing traceability, safety and quality analysis.

Read the process-mining guide

Industrial automation and applied AI

Automation links sensing, control logic and physical equipment. Teaching resources connect PLC logic and CNC programming with practical engineering reasoning. Research into machine learning and robotic process automation examines how computational methods can support classification, scheduling and operational decisions. The suitability of any method depends on data quality, validation and the operating context.

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Sustainable manufacturing and optimisation

Productivity and environmental performance need to be assessed together. Research in tube manufacturing combines process analysis, life-cycle assessment and multi-objective optimisation to examine competing operating choices. Published studies provide their own evaluation settings and limits; their results should be assessed before applying a method to another facility.

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Mechanical systems and engineering maintenance

Fluid mechanics and maintenance education provide a foundation for understanding equipment behaviour, reliability and fault diagnosis. These topics support practical engineering learning in the maritime education context at DMI. The learning platform provides subject-specific resources to approved students.

Explore the engineering subject catalogue

Discuss an engineering question

For an enquiry, describe the process or equipment, the decision you need to make, the data available and any operating constraints. This helps establish a suitable scope for research collaboration, technical review or engineering discussion in Tanzania, East Africa or an international setting.

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