Comprehensive Course Structure
The Operations Management program is structured over 8 semesters, offering a balanced blend of theoretical knowledge and practical application. The curriculum includes core courses, departmental electives, science electives, and hands-on laboratory sessions designed to build comprehensive operational literacy.
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| I | MATH101 | Calculus and Differential Equations | 3-1-0-4 | None |
| MATH102 | Linear Algebra and Probability | 3-1-0-4 | MATH101 | |
| PHYS101 | Physics for Engineers | 3-1-0-4 | None | |
| CHEM101 | Chemistry for Engineers | 3-1-0-4 | None | |
| ENG101 | English Communication Skills | 2-0-0-2 | None | |
| ECE101 | Introduction to Electrical Engineering | 3-1-0-4 | PHYS101 | |
| CSE101 | Introduction to Computer Science | 3-1-0-4 | None | |
| MECH101 | Engineering Mechanics | 3-1-0-4 | MATH101, PHYS101 | |
| MECH102 | Manufacturing Processes | 3-1-0-4 | MECH101 | |
| MGT101 | Introduction to Management | 2-0-0-2 | None | |
| II | MATH201 | Statistics and Numerical Methods | 3-1-0-4 | MATH102 |
| MATH202 | Operations Research | 3-1-0-4 | MATH102 | |
| PHYS201 | Modern Physics and Applications | 3-1-0-4 | PHYS101 | |
| CHEM201 | Organic Chemistry | 3-1-0-4 | CHEM101 | |
| ECE201 | Electronic Devices and Circuits | 3-1-0-4 | ECE101 | |
| CSE201 | Data Structures and Algorithms | 3-1-0-4 | CSE101 | |
| MECH201 | Thermodynamics and Heat Transfer | 3-1-0-4 | MECH101, MATH102 | |
| MECH202 | Mechanics of Materials | 3-1-0-4 | MECH101 | |
| MGT201 | Business Economics | 2-0-0-2 | MATH102 | |
| MGT202 | Organizational Behavior | 2-0-0-2 | MGT101 | |
| III | OPM301 | Introduction to Operations Management | 3-1-0-4 | MGT201 |
| OPM302 | Production Planning and Control | 3-1-0-4 | OPM301 | |
| OPM303 | Inventory Management | 3-1-0-4 | OPM301 | |
| OPM304 | Quality Management | 3-1-0-4 | OPM301 | |
| OPM305 | Supply Chain Management | 3-1-0-4 | OPM301 | |
| OPM306 | Logistics and Distribution Systems | 3-1-0-4 | OPM301 | |
| OPM307 | Operations Research II | 3-1-0-4 | MATH202 | |
| OPM308 | Project Management | 3-1-0-4 | OPM301 | |
| OPM309 | Lean Manufacturing | 3-1-0-4 | OPM301 | |
| OPM310 | Service Operations Management | 3-1-0-4 | OPM301 | |
| IV | OPM401 | Data Analytics in Operations | 3-1-0-4 | MATH201, CSE201 |
| OPM402 | Digital Transformation in Operations | 3-1-0-4 | OPM301 | |
| OPM403 | Sustainable Operations Management | 3-1-0-4 | OPM301 | |
| OPM404 | Risk and Compliance Management | 3-1-0-4 | OPM301 | |
| OPM405 | Advanced Supply Chain Analytics | 3-1-0-4 | OPM305 | |
| OPM406 | Operations Strategy and Planning | 3-1-0-4 | OPM301 | |
| OPM407 | Process Optimization Techniques | 3-1-0-4 | OPM301 | |
| OPM408 | Decision Support Systems | 3-1-0-4 | OPM401 | |
| OPM409 | Operations Research III | 3-1-0-4 | MATH202 | |
| OPM410 | Capstone Project | 6-0-0-6 | All OPM courses |
Detailed Departmental Elective Courses
The department offers several advanced elective courses that allow students to specialize in areas aligned with current industry trends and research interests:
- Machine Learning for Operations (OPM401): This course focuses on applying machine learning algorithms to solve operational challenges. Students learn how to build predictive models for demand forecasting, optimize inventory levels, and automate decision-making processes using Python and TensorFlow.
- Digital Twin Technology in Manufacturing (OPM402): Explores the concept of digital twins—virtual replicas of physical systems used for simulation, monitoring, and optimization. The course covers modeling techniques, real-time data integration, and applications in smart factories.
- Green Supply Chain Management (OPM403): Addresses environmental sustainability within supply chains. Topics include carbon footprint reduction, green procurement, reverse logistics, and circular economy principles applied to manufacturing and distribution.
- Operational Risk Analysis (OPM404): Teaches students to identify, assess, and mitigate operational risks using quantitative methods and scenario planning. Case studies from industries such as aviation, pharmaceuticals, and finance are analyzed to understand risk management strategies.
- Customer-Centric Operations (OPM405): Examines how customer feedback and experience influence operational decisions. Students explore service design frameworks, customer journey mapping, and the role of operations in enhancing customer satisfaction.
- Smart Logistics Systems (OPM406): Focuses on integrating IoT sensors, GPS tracking, and automation into logistics networks. The course includes hands-on lab sessions using simulation software to model warehouse operations and transportation routes.
- Process Simulation and Modeling (OPM407): Introduces students to simulation tools like Arena, Flexsim, and AnyLogic for modeling complex operational systems. Emphasis is placed on validating models and interpreting results for strategic decision-making.
- Sustainable Manufacturing (OPM408): Covers eco-design principles, waste minimization techniques, energy efficiency improvements, and compliance with environmental regulations in manufacturing environments.
- Enterprise Resource Planning (ERP) Systems (OPM409): Provides an overview of ERP concepts and implementation strategies. Students learn to configure systems like SAP, Oracle, and Microsoft Dynamics for operational efficiency.
- Data Visualization and Reporting (OPM410): Teaches effective data visualization techniques using tools such as Tableau and Power BI. The course emphasizes the importance of clear reporting in driving informed operational decisions.
Project-Based Learning Framework
The program emphasizes project-based learning as a cornerstone of student development. From the second year onwards, students engage in mini-projects under faculty supervision that simulate real-world challenges. These projects often involve collaboration with industry partners and provide valuable exposure to practical problem-solving.
Mini-projects are typically completed in groups of 3-5 students and span approximately 6 weeks. Each project includes a detailed proposal, progress reports, peer evaluations, and a final presentation before a panel of faculty and industry experts.
The final-year capstone project is a significant component of the program, requiring students to work on an original research or applied problem in operations management. The project is supervised by a faculty mentor and culminates in a written thesis and a public defense. Students are encouraged to publish their findings in academic journals or present at conferences.
Project selection involves a competitive process where students propose topics aligned with faculty expertise or industry needs. Mentorship is provided throughout the project lifecycle, ensuring that students receive guidance on methodology, data analysis, and presentation skills.