Day 1:
- Measurement fundamentals and sensor selection
- Valves, actuators and final control elements
- Baseline assessment and learning goals
Day 2:
- Control loop concepts and tuning (PID)
- DCS/PLC/SCADA overview and integration
- Tools, checklists and practical templates
Day 3:
- Data quality, governance and storytelling with data
- Process dynamics and stability
- Case study workshop and facilitated practice
Day 4:
- Data literacy, dashboards and decision-making
- Safety instrumented systems fundamentals
- Advanced applications and performance measurement
Day 5:
- Capstone simulation / group project
- Personal action plan (90‑day) and stakeholder commitments
- Knowledge check and course close‑out
This 5‑day program, “Maintenance Scheduling using Big Data, IoT and Agent Based Simulation”, provides a structured, practice‑led learning journey covering the core concepts, best‑practice frameworks, and hands‑on applications in Instrumentation & Process Control. The course blends expert instruction, case discussions, guided exercises, and peer learning to ensure transfer to the workplace. Key themes include measurement fundamentals and sensor selection, control loop concepts and tuning (pid), and calibration practices and standards. Participants will leave with practical tools, templates, and a 90‑day action plan to apply immediately in their roles. Ideal for professionals, supervisors, and managers seeking measurable improvement in performance and decision quality.