Semester-wise syllabus for a BBA in Operations Management

Semester 1: Foundations of Business & Management

1. Principles of Management

   • Introduction to management functions (planning, organizing, staffing, directing, controlling).

   • Theories: Taylor, Fayol, Maslow, Herzberg.

2. Business Mathematics

   • Algebra, calculus, and quantitative techniques for decision-making.

3. Financial Accounting

   • Basics of accounting, journal entries, ledgers, balance sheets, and income statements.

4. Business Communication

   • Formal reports, presentations, email etiquette, and negotiation skills.

5. Microeconomics

   • Demand-supply analysis, market structures (perfect competition, monopoly).

6. Computer Applications in Business (Lab)

   • MS Office (Excel for data analysis, PowerPoint for presentations).

Semester 2: Core Business Concepts

1. Organizational Behavior

   • Motivation, leadership styles, group dynamics, conflict resolution.

2. Macroeconomics

   • GDP, inflation, fiscal and monetary policies.

3. Business Environment

   • Legal, political, and technological factors affecting businesses.

4. Cost & Management Accounting

   • Costing methods (job, process, activity-based), budgeting.

5. Marketing Management

   • 4Ps (Product, Price, Place, Promotion), consumer behavior.

6. Business Statistics (Lab: SPSS/Excel)

   • Descriptive statistics, correlation, regression analysis.

Semester 3: Introduction to Operations & Supply Chain

1. Operations Management

   • Process design, capacity planning, facility layout, lean principles.

2. Business Law

   • Contracts, corporate law, consumer protection laws.

3. Human Resource Management

   • Recruitment, training, performance appraisal, labor laws.

4. Research Methodology

   • Qualitative vs. quantitative research, data collection methods.

5. Logistics & Supply Chain Management

   • Inventory models (EOQ, JIT), warehousing, transportation modes.

6. ERP Lab (SAP/Oracle)

   • Hands-on training in ERP modules (Materials Management, Sales & Distribution).

Semester 4: Advanced Operations & Analytics

1. Production & Operations Management

   • Six Sigma, Total Quality Management (TQM), Kaizen.

2. Total Quality Management (TQM)

   • ISO standards, PDCA cycle, quality control tools.

3. Project Management (Lab: MS Project/Asana)

   • Gantt charts, CPM, PERT, risk assessment.

4. E-Commerce & Digital Operations

   • Online supply chains, automation tools (Chatbots, RPA).

5. Financial Management

   • Capital budgeting, working capital management.

6. Business Analytics Lab (Tableau/Python)

   • Data visualization, predictive modeling.

Semester 5: Specialization & Industry Applications

1. Supply Chain Analytics

   • Demand forecasting, inventory optimization.

2. Service Operations Management

   • Operations in healthcare, IT, hospitality sectors.

3. International Business Operations

   • Global supply chains, Incoterms, trade compliance.

4. Operations Strategy

   • Competitive advantage through operations (e.g., Zara’s fast-fashion model).

5. Elective 1 (Choose one)

   • Retail Management / Lean Six Sigma / Blockchain in SCM.

6. Simulation Lab (Arena/AnyLogic)

   • Process simulation, bottleneck analysis.

Semester 6: Capstone & Practical Exposure

1. Strategic Management

   • SWOT analysis, Porter’s Five Forces, corporate strategy.

2. Risk Management in Operations

   • Mitigating supply chain disruptions (e.g., pandemic response).

3. Sustainability in Operations

   • Green supply chains, circular economy practices.

4. Elective 2 (Choose one)

   • Automation in Operations / AI in Supply Chain.

5. Dissertation/Research Project

   • Real-world problem-solving (e.g., optimizing Amazon’s last-mile delivery).

6. Industry Internship/Viva

   • Hands-on experience in manufacturing/logistics firms.

Key Practical Components

ERP (SAP/Oracle) : Inventory, procurement, production control.

Tableau/Python : Data visualization, predictive analytics.

MS Project : Project scheduling, resource allocation.

Arena Simulation : Process optimization, bottleneck analysis.

Lean Six Sigma : DMAIC methodology, defect reduction.