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.