Industrial Maintenance Curriculum at Government Polytechnic Jakhanidhar
Semester-Wise Course Structure
The Industrial Maintenance program follows a structured semester-based curriculum designed to progressively build technical and professional competencies. The following table outlines the course structure across eight semesters:
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| I | IM-101 | Engineering Mathematics I | 3-1-0-4 | - |
| I | IM-102 | Physics for Engineering | 3-1-0-4 | - |
| I | IM-103 | Chemistry & Materials Science | 3-1-0-4 | - |
| I | IM-104 | Basic Electrical & Electronics Engineering | 3-1-0-4 | - |
| I | IM-105 | Introduction to Industrial Maintenance | 2-1-0-3 | - |
| I | IM-106 | Technical Communication & Soft Skills | 2-0-0-2 | - |
| II | IM-201 | Engineering Mathematics II | 3-1-0-4 | IM-101 |
| II | IM-202 | Mechanics of Solids | 3-1-0-4 | - |
| II | IM-203 | Thermodynamics & Heat Transfer | 3-1-0-4 | - |
| II | IM-204 | Fluid Mechanics | 3-1-0-4 | - |
| II | IM-205 | Machine Design Principles | 3-1-0-4 | - |
| II | IM-206 | Engineering Drawing & CAD | 2-1-0-3 | - |
| III | IM-301 | Predictive Maintenance Techniques | 3-1-0-4 | IM-201, IM-202 |
| III | IM-302 | Automation & PLC Programming | 3-1-0-4 | - |
| III | IM-303 | Reliability Engineering | 3-1-0-4 | - |
| III | IM-304 | Industrial Data Analytics | 3-1-0-4 | - |
| III | IM-305 | Maintenance Management Systems | 3-1-0-4 | - |
| III | IM-306 | Energy Efficiency in Industrial Operations | 2-1-0-3 | - |
| IV | IM-401 | Advanced Maintenance Techniques | 3-1-0-4 | - |
| IV | IM-402 | Industrial Safety & Risk Management | 3-1-0-4 | - |
| IV | IM-403 | Digital Twin Simulation | 3-1-0-4 | - |
| IV | IM-404 | Process Control Systems | 3-1-0-4 | - |
| IV | IM-405 | Maintenance Cost Optimization | 2-1-0-3 | - |
| IV | IM-406 | Technical Project Report Writing | 2-0-0-2 | - |
| V | IM-501 | Mini Project I | 4-0-0-4 | - |
| V | IM-502 | Advanced Robotics in Manufacturing | 3-1-0-4 | - |
| V | IM-503 | Industrial Internet of Things (IIoT) | 3-1-0-4 | - |
| V | IM-504 | Maintenance in Process Industries | 3-1-0-4 | - |
| V | IM-505 | Energy Auditing and Management | 2-1-0-3 | - |
| V | IM-506 | Elective Course - Advanced Control Systems | 3-1-0-4 | - |
| VI | IM-601 | Mini Project II | 4-0-0-4 | - |
| VI | IM-602 | Lean Maintenance Practices | 3-1-0-4 | - |
| VI | IM-603 | Maintenance in Renewable Energy Systems | 3-1-0-4 | - |
| VI | IM-604 | Data Visualization for Maintenance | 3-1-0-4 | - |
| VI | IM-605 | Industrial Networking & Cybersecurity | 2-1-0-3 | - |
| VI | IM-606 | Elective Course - Risk Assessment Methods | 3-1-0-4 | - |
| VII | IM-701 | Final Year Thesis/Capstone Project I | 6-0-0-6 | - |
| VII | IM-702 | Internship Program | 4-0-0-4 | - |
| VIII | IM-801 | Final Year Thesis/Capstone Project II | 6-0-0-6 | - |
| VIII | IM-802 | Professional Ethics & Industry Practices | 2-1-0-3 | - |
Advanced Departmental Elective Courses
The department offers several advanced elective courses to deepen students' understanding and application of specialized maintenance techniques. These courses are designed to provide in-depth knowledge and practical skills aligned with industry needs.
1. Advanced Robotics in Manufacturing
This course explores the integration of robotics into manufacturing environments, focusing on industrial robot programming, sensor integration, and automation control systems. Students learn how to design and implement robotic solutions for maintenance tasks such as inspection, welding, and assembly.
2. Industrial Internet of Things (IIoT)
This course covers the application of IoT technologies in industrial settings, emphasizing real-time data collection, analysis, and decision-making in maintenance operations. Students gain hands-on experience with cloud platforms, edge computing, and communication protocols used in smart factories.
3. Maintenance in Process Industries
This elective provides an overview of maintenance practices specific to chemical, petrochemical, and pharmaceutical sectors. Topics include process control systems, pipeline integrity, and safety compliance measures required in high-risk environments.
4. Energy Auditing and Management
This course teaches students how to conduct energy audits, analyze consumption patterns, and implement energy-saving strategies in industrial facilities. It covers both theoretical concepts and practical tools used for sustainable operations.
5. Lean Maintenance Practices
Lean maintenance focuses on eliminating waste and improving efficiency in maintenance processes. This course introduces students to lean methodologies such as 5S, Kaizen, and Total Productive Maintenance (TPM) applied to industrial settings.
6. Industrial Networking & Cybersecurity
This course addresses the cybersecurity challenges faced by modern industrial systems. Students learn about network architecture, threat detection, vulnerability assessment, and secure communication protocols essential for protecting critical infrastructure.
7. Data Visualization for Maintenance
Data visualization plays a crucial role in interpreting complex maintenance data. This course teaches students how to create dashboards, charts, and interactive reports that aid in decision-making and performance monitoring.
8. Risk Assessment Methods
This elective covers various risk assessment techniques used in industrial environments. Students learn to identify hazards, evaluate risks, and develop mitigation plans using industry-standard frameworks such as FMEA and HAZOP.
9. Maintenance Cost Optimization
This course focuses on reducing maintenance costs without compromising system reliability. Students explore cost-benefit analysis, lifecycle costing, and budgeting strategies for effective resource allocation in maintenance departments.
10. Maintenance in Renewable Energy Systems
As the world shifts toward renewable energy, understanding maintenance practices in solar, wind, and hydroelectric systems becomes increasingly important. This course covers operational challenges and best practices for maintaining these systems efficiently.
Project-Based Learning Approach
The department places significant emphasis on project-based learning to enhance student engagement and practical application of theoretical knowledge. The approach is structured as follows:
- Mini-Projects (Years 3 & 4): Students work in teams to solve real-world maintenance problems. These projects are supervised by faculty mentors and often involve collaboration with industry partners.
- Final-Year Capstone Project: Each student selects a topic related to their specialization area and develops an independent research project or applied solution. The final project is presented to a panel of experts and evaluated based on innovation, technical merit, and impact.
The evaluation criteria for projects include:
- Problem identification and scope definition
- Research methodology and data collection
- Technical execution and solution development
- Documentation quality and presentation skills
- Impact assessment and recommendations
Faculty mentors are assigned based on student interests, project requirements, and expertise availability. The selection process ensures that each student receives appropriate guidance throughout the project lifecycle.