Industrial Engineering and Management

Syllabus

1. Industrial Engineering and Production System Design (10 hours)
   1. Industrial engineering (IE): evolution of technology and production systems, systems approach and productivity concepts, role of IE in modern industries
   2. Plant location and layout: locational analysis, factors affecting plant location, location decision models (factor rating, center of gravity), types of factory building, types of layouts and applications, flow patterns and optimization, line balancing
   3. Material handling systems: principles of material handling, classification of equipment, equipment selection and cost considerations, automation in material handling
2. Production Planning and Control (10 hours)
   1. Functions of production planning and control
   2. Production systems: job production, batch production, continuous production
   3. Routing, scheduling and loading: routing procedure and advantages, scheduling and factors affecting it, loading and dispatching
   4. Process planning and product design: process selection and sequencing, design for manufacturability (DFM), standardization and simplification
   5. Aggregate planning and capacity planning
   6. Introduction to MIS application and ERP systems
   7. Smart manufacturing and industry 4.0
3. Scheduling and Project Management (4 hours)
   1. Gantt charts
   2. Network models: CPM and PERT
   3. Critical path analysis and time-cost trade-off
4. Inventory and Supply Chain Management (4 hours)
   1. EOQ and probabilistic models
   2. Safety stock and service level
   3. ABC and multi-criteria classification
   4. Supply chain concepts
5. Material Requirement Planning and Lean Systems (4 hours)
   1. MRP I and MRP II
   2. Just-In-Time (JIT) and Kanban
   3. Lean manufacturing principles
   4. Comparison: MRP and JIT
6. Forecasting and Data-Driven Decision Making (4 hours)
   1. Qualitative and quantitative forecasting methods
   2. Time series models and regression analysis
   3. Forecast accuracy and error metrics
   4. Role of analytics in forecasting
7. Maintenance and Reliability Engineering (4 hours)
   1. Types of maintenance
   2. Maintenance strategies (reactive, preventive, predictive)
   3. Total Productive Maintenance (TPM)
   4. Reliability concepts (MTBF, MTTR)
8. Quality Management and Continuous Improvement (5 hours)
   1. Definitions and perspective on quality
   2. Evolution of quality (Deming, Juran, Crosby)
   3. Total Quality Management (TQM)
   4. Quality management systems (QMS), standards (ISO 9001), documentation control, audits and compliance
   5. Statistical quality control: tools and data analysis
   6. Six Sigma, Kaizen, lean management and PDCA cycle concepts

Practicals

Tutorials (15 hours):

1. Numerical problems related to plant location
2. Calculations related to plant capacity
3. Project scheduling exercises using CPM and PERT techniques
4. Numerical problems on economic order quantity
5. Numerical problems on forecasting techniques
6. Statistical quality control applications and interpretation
7. Case studies and group presentation (Toyota production system, lean manufacturing)

Evaluation

Final exam questions cover all chapters. Approximate marks distribution (total 60 marks over 45 hours):

1. Industrial Engineering and Production System Design: 12 marks
2. Production Planning and Control: 12 marks
3. Scheduling and Project Management: 6 marks
4. Inventory and Supply Chain Management: 6 marks
5. Material Requirement Planning and Lean Systems: 6 marks
6. Forecasting and Data-Driven Decision Making: 6 marks
7. Maintenance and Reliability Engineering: 6 marks
8. Quality Management and Continuous Improvement: 6 marks