Comprehensive Course Structure
The Operations Management program at Sanghvi Institute of Management and Science PGDM follows a structured approach across eight semesters, blending foundational knowledge with advanced specialization. Each semester includes core courses, departmental electives, science electives, and practical lab sessions designed to provide holistic learning experiences.
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | OM101 | Introduction to Operations Management | 3-0-0-3 | - |
| 1 | OM102 | Business Statistics and Probability | 3-0-0-3 | - |
| 1 | OM103 | Principles of Management | 3-0-0-3 | - |
| 1 | OM104 | Operations Research Fundamentals | 3-0-0-3 | OM102 |
| 1 | OM105 | Computer Applications in Business | 3-0-0-3 | - |
| 1 | OM106 | Operations Management Lab | 0-0-2-2 | - |
| 2 | OM201 | Production Planning and Control | 3-0-0-3 | OM104 |
| 2 | OM202 | Inventory Management | 3-0-0-3 | OM104 |
| 2 | OM203 | Quality Management Systems | 3-0-0-3 | - |
| 2 | OM204 | Supply Chain Management | 3-0-0-3 | - |
| 2 | OM205 | Financial Accounting and Analysis | 3-0-0-3 | - |
| 2 | OM206 | Operations Management Lab II | 0-0-2-2 | OM106 |
| 3 | OM301 | Process Design and Analysis | 3-0-0-3 | OM201 |
| 3 | OM302 | Capacity Planning and Scheduling | 3-0-0-3 | OM201 |
| 3 | OM303 | Service Operations Management | 3-0-0-3 | OM204 |
| 3 | OM304 | Operations Strategy | 3-0-0-3 | - |
| 3 | OM305 | Research Methodology | 3-0-0-3 | - |
| 3 | OM306 | Operations Management Lab III | 0-0-2-2 | OM206 |
| 4 | OM401 | Supply Chain Analytics | 3-0-0-3 | OM204 |
| 4 | OM402 | Lean Operations and Process Improvement | 3-0-0-3 | OM301 |
| 4 | OM403 | Sustainable Operations | 3-0-0-3 | - |
| 4 | OM404 | Operations Consulting | 3-0-0-3 | OM304 |
| 4 | OM405 | Data Analytics for Operations | 3-0-0-3 | OM102 |
| 4 | OM406 | Operations Management Lab IV | 0-0-2-2 | OM306 |
| 5 | OM501 | Advanced Operations Research | 3-0-0-3 | OM104 |
| 5 | OM502 | Project Management | 3-0-0-3 | - |
| 5 | OM503 | Manufacturing Systems | 3-0-0-3 | - |
| 5 | OM504 | Operations Innovation and Entrepreneurship | 3-0-0-3 | - |
| 5 | OM505 | Capstone Project I | 0-0-4-6 | - |
| 6 | OM601 | Operations Strategy Implementation | 3-0-0-3 | OM404 |
| 6 | OM602 | Global Supply Chain Management | 3-0-0-3 | OM401 |
| 6 | OM603 | Operations Risk Management | 3-0-0-3 | - |
| 6 | OM604 | Operations Leadership and Communication | 3-0-0-3 | - |
| 6 | OM605 | Capstone Project II | 0-0-4-6 | OM505 |
| 7 | OM701 | Operations Ethics and Social Responsibility | 3-0-0-3 | - |
| 7 | OM702 | Digital Transformation in Operations | 3-0-0-3 | - |
| 7 | OM703 | Advanced Data Analytics and AI Applications | 3-0-0-3 | OM405 |
| 7 | OM704 | Industry Internship | 0-0-0-12 | - |
| 8 | OM801 | Operations Management Capstone Thesis | 0-0-0-12 | OM605 |
Advanced Departmental Elective Courses
The following advanced departmental elective courses are offered to deepen students' understanding of specialized areas within Operations Management:
- Supply Chain Analytics: This course explores the application of statistical and analytical techniques in managing supply chains. Students learn about demand forecasting, inventory optimization, and performance measurement using tools like R, Python, and Excel.
- Lean Operations and Process Improvement: Focused on waste elimination, this course introduces students to lean principles, value stream mapping, and continuous improvement methodologies. Real-world case studies from manufacturing and service sectors are analyzed to reinforce concepts.
- Sustainable Operations: Addressing environmental sustainability in business operations, this course covers topics such as green supply chains, circular economy models, and carbon footprint reduction strategies.
- Operations Consulting: Designed for students interested in consulting careers, this course teaches project management, stakeholder engagement, and business transformation frameworks. Students work on client projects under faculty supervision.
- Data Analytics for Operations: This course integrates advanced data analytics with operational decision-making. Students gain hands-on experience using machine learning algorithms to predict outcomes and optimize operations.
- Project Management: Comprehensive coverage of project lifecycle management, including initiation, planning, execution, monitoring, and closure phases. Emphasis is placed on risk management, resource allocation, and team coordination.
- Manufacturing Systems: Students study various manufacturing systems, from traditional batch production to modern flexible manufacturing units. The course includes practical sessions in simulation software to model and analyze production processes.
- Operations Innovation and Entrepreneurship: This elective encourages innovation by exposing students to new business models and entrepreneurial ventures in operational fields. Guest speakers from startups provide insights into scaling operations effectively.
- Global Supply Chain Management: Examines global supply chain challenges including geopolitical risks, cultural differences, and international regulations. Students develop strategies for managing cross-border logistics and sourcing.
- Operations Risk Management: Focuses on identifying, assessing, and mitigating operational risks. Topics include business continuity planning, crisis management, and regulatory compliance in operational environments.
Project-Based Learning Philosophy
Sanghvi's Operations Management program embraces project-based learning as a core pedagogical approach. The philosophy behind this method is to bridge the gap between theory and practice by allowing students to apply classroom knowledge in real-world scenarios.
The mini-projects undertaken during the first three semesters are designed to reinforce fundamental concepts through hands-on experience. These projects often involve working with actual datasets, conducting surveys, or implementing small-scale operational improvements within simulated environments.
The final-year capstone project is a significant component of the program. Students select topics aligned with their interests and career goals, typically involving collaboration with industry partners or academic researchers. Projects are supervised by faculty mentors who guide students through research methodologies, data analysis, and presentation skills development.
Evaluation criteria for projects include innovation, technical depth, relevance to current industry challenges, and clarity of communication. Students must present their findings both in written reports and oral presentations, ensuring comprehensive skill development across multiple domains.
Project selection is facilitated through a structured process where students submit proposals outlining their intended scope, methodology, and expected outcomes. Faculty committees review these proposals to ensure alignment with academic rigor and industry relevance.