Maintenance scheduling is a critical aspect of industrial operations, and the integration of these advanced technologies can significantly improve efficiency, reduce downtime, and enhance overall asset management.
What you’ll learn
- Understand the significance of maintenance scheduling in industrial operations.
- Gain knowledge about Big Data and its application in maintenance.
- Familiarize with IoT technologies and their role in real-time condition monitoring.
- Develop skills in agent-based simulation for maintenance planning.
- Learn how to integrate Big Data, IoT, and agent-based simulation in maintenance scheduling.
- Explore optimization techniques to enhance maintenance schedules.
- Develop decision support systems for effective maintenance decision-making.
- Analyze practical industry examples to apply the learned concepts effectively.
Requirements
- The candidate must be English proficient
- The candidate must have access to a computer either a laptop or a desktop.
- The candidate must be equipped with quality webcam and headphones.
Duration & Fees
- Regular – 8 Weeks – ₦150,000
- Fast-Track – 6 Weeks – ₦225,000
Program Dates
- August – October, 2024
- October – December, 2024
- February – April, 2025
- May – July, 2025
Curriculum
- 8 Sections
- 24 Lessons
- 10
- Module 1: Introduction to Maintenance Scheduling3
- Module 2: Introduction to Big Data in Maintenance3
- Module 3: IoT for Maintenance3
- Module 4: Introduction to Agent-Based Simulation3
- Module 5: Integration of Big Data and IoT in Maintenance Scheduling3
- Module 6: Optimization Techniques3
- Module 7: Decision Support Systems3
- Module 8: Practical Applications and Industry Examples3
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