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B-E in Industrial Engineering Management at B.M.S. College of Engineering
Bengaluru, Karnataka
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About the Specialization
What is Industrial Engineering & Management at B.M.S. College of Engineering Bengaluru?
This Industrial Engineering & Management program at Bhusanayana Mukundadas Sreenivasaiah College of Engineering (BMSCE) focuses on optimizing complex systems, processes, and organizations through a blend of engineering principles, management techniques, and data-driven decision making. It addresses the growing need in India for professionals who can enhance productivity, efficiency, and quality across manufacturing, service, and technology sectors. The program emphasizes practical application and innovative problem-solving relevant to the dynamic Indian industrial landscape.
Who Should Apply?
This program is ideal for aspiring engineers and innovators seeking to drive operational excellence and strategic growth. It suits fresh 10+2 graduates with a strong aptitude for mathematics, problem-solving, and a keen interest in system optimization. Working professionals in manufacturing, logistics, or IT seeking to transition into management or improve their analytical skills will also benefit. It''''s also suitable for those looking to apply engineering principles to broader business challenges.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths in manufacturing, IT, logistics, healthcare, and consulting. Roles include Process Engineer, Operations Manager, Supply Chain Analyst, Quality Manager, and Business Consultant in companies like Tata Motors, Infosys, Flipkart, and Capgemini. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning INR 10-25+ LPA. The program equips students with skills aligned with certifications like Six Sigma and Lean, crucial for growth in Indian industries.
Student Success Practices
Foundation Stage
Master Core Engineering Fundamentals- (Semester 1-2)
Focus diligently on mastering foundational subjects like Engineering Mathematics, Physics, Chemistry, and basic Electrical/Electronics. These core concepts form the bedrock for advanced Industrial Engineering subjects. Actively participate in lab sessions to solidify theoretical understanding with practical application.
Tools & Resources
VTU e-Learning portal, NPTEL courses for foundational engineering, Problem-solving groups, Study circles with peers
Career Connection
Strong fundamentals are essential for cracking competitive exams, higher studies, and understanding complex industrial systems, laying a robust academic foundation.
Develop Programming and Design Skills- (Semester 1-2)
Prioritize developing strong C programming skills and basic engineering design software proficiency (e.g., SOLIDWORKS). Engage in coding challenges and design mini-projects to build practical problem-solving abilities early on, crucial for modern engineering applications.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks for C programming, Free CAD tutorials, Student versions of SOLIDWORKS
Career Connection
These skills are critical for data analysis, automation, and designing solutions in contemporary industrial environments, enhancing early career readiness.
Cultivate Professional Communication- (Semester 1-2)
Actively participate in English Language and Communication Skills classes, focusing on improving spoken and written communication. Join debate clubs or Toastmasters-like college groups to enhance presentation and interpersonal skills, preparing for professional interactions.
Tools & Resources
Online grammar tools, Public speaking clubs, College English literary societies, Peer feedback sessions
Career Connection
Effective communication is vital for teamwork, client interaction, and leadership roles in any industry, facilitating clearer understanding and collaboration.
Intermediate Stage
Engage in Departmental Projects and Workshops- (Semester 3-5)
Seek out opportunities to work on small-scale projects within the Industrial Engineering & Management department, or participate in workshops related to Manufacturing Processes, Operations Research, or Material Science. This provides hands-on experience and clarifies theoretical concepts.
Tools & Resources
Departmental labs, Faculty guidance, Industry association workshops (e.g., IIIE student chapter activities), Technical symposiums
Career Connection
Practical project experience is highly valued by employers and strengthens resumes for internships and placements, showcasing applied knowledge.
Build Analytical & Software Proficiency- (Semester 4-5)
Deepen your understanding of Operations Research and Data Analytics by actively solving problems and learning relevant software tools (e.g., Python, R, Excel Solver). Participate in case study competitions focusing on supply chain or process optimization.
Tools & Resources
Coursera/edX courses on Python/R for data science, Kaggle for datasets, NPTEL courses on Operations Research, Excel Solver, Simio/Arena software demos
Career Connection
These analytical skills are core to Industrial Engineering, highly sought after in consulting, supply chain, and IT firms, and crucial for data-driven decision making.
Network and Explore Industry Trends- (Semester 4-5)
Attend industry seminars, guest lectures, and career fairs organized by the college or professional bodies. Connect with alumni and industry professionals on platforms like LinkedIn to understand current trends and potential career paths in Industrial Engineering.
Tools & Resources
LinkedIn, College alumni network events, Industry conferences (e.g., organized by IIIE - Indian Institute of Industrial Engineering), Webinars
Career Connection
Networking opens doors to internship opportunities, mentorship, and insights into the evolving job market, helping to define career aspirations.
Advanced Stage
Undertake Meaningful Internships & Industrial Projects- (Semester 6-8 (especially summer after Sem 6, and during Sem 7 & 8))
Secure a relevant internship (preferably after 6th semester) and commit thoroughly to the Industrial Project (I & II) and Major Project. Focus on solving real-world industrial problems, applying learned concepts, and documenting findings professionally.
Tools & Resources
College placement cell, Industry contacts, Project management software, Simulation tools (e.g., FlexSim, AnyLogic), Research databases
Career Connection
Internships often lead to pre-placement offers, and strong project work showcases problem-solving abilities to potential employers, significantly enhancing employability.
Specialize Through Electives and Certifications- (Semester 7-8)
Strategically choose professional electives that align with your career interests (e.g., Lean Manufacturing, Supply Chain Management, AI in IE). Pursue relevant industry certifications like Six Sigma Green Belt/Black Belt or PMP to add specialized value to your professional profile.
Tools & Resources
Professional bodies offering certifications (ASQ, PMI), Online learning platforms like Udemy/Coursera for specialized courses, NPTEL advanced modules
Career Connection
Specialization enhances expertise, making you a more attractive candidate for specific roles and enabling faster career progression in niche industrial sectors.
Master Interview and Soft Skills for Placements- (Semester 7-8)
Actively participate in mock interviews, group discussions, and resume-building workshops offered by the placement cell. Practice aptitude tests and technical interview questions related to core Industrial Engineering subjects to excel in selection processes.
Tools & Resources
College placement cell, Online aptitude test platforms (e.g., IndiaBix), Technical interview preparation guides, Mock interview platforms
Career Connection
Excellent soft skills, coupled with strong technical knowledge, are crucial for converting placement opportunities into job offers in top companies, ensuring career launch.
Program Structure and Curriculum
Eligibility:
- No eligibility criteria specified
Duration: 8 semesters / 4 years
Credits: 149 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BS1MACAM | Engineering Mathematics-I | Basic Science Course (BSC) | 4 | Differential Calculus-I, Differential Calculus-II, Partial Differential Equations, Multiple Integrals, Vector Calculus |
| 22BS1PHYPH | Engineering Physics | Basic Science Course (BSC) | 3 | Quantum Mechanics & Band Theory, Electrical & Electronic Materials, Lasers & Optical Fibres, Nanotechnology, Thin Films, Sensors & Actuators, Thermal Physics |
| 22ES1EDM | Engineering Design & Modelling | Engineering Science Course (ESC) | 3 | Introduction to Engineering Design, Introduction to Orthographic Projections, Isometric Projections, Section of Solids, Introduction to SOLIDWORKS |
| 22ES1MIP | Manufacturing & Industrial Practices | Engineering Science Course (ESC) | 3 | Manufacturing Processes & their Types, Machine Tools & Operation, Welding & Foundry, Material Handling, Maintenance & Safety, Lean Manufacturing |
| 22ES1CSL | C Programming for Problem Solving | Engineering Science Course (ESC) | 3 | Introduction to C, Decision Making & Loops, Arrays & Strings, Functions & Pointers, Structures, Unions & Files |
| 22BS1PHYL | Engineering Physics Lab | Basic Science Course (BSC) | 1 | Experiments on Elasticity, Optics related experiments, Semiconductors experiments, Solar Cell characteristics, Verification of physical laws |
| 22ES1CSLL | C Programming Lab | Engineering Science Course (ESC) | 1 | Programs on basic arithmetic operations, Conditional statements and loops, Array manipulation, Functions and pointers implementation, String operations and file handling |
| 22ES1EDML | Engineering Design & Modelling Lab | Engineering Science Course (ESC) | 1 | Orthographic projections drawings, Isometric projections drawings, Sectional views of objects, Assembly drawing exercises, Introduction to CAD software features |
| 22AU1KSK | Kannada/Additional Kannada/Constitution of India & Professional Ethics | Mandatory Non-Credit Course | 0 | Basic Kannada language skills, Principles of Indian Constitution, Fundamental Rights and Duties, Professional Ethics and Values, Human Rights Concepts |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22BS2MACAM | Engineering Mathematics-II | Basic Science Course (BSC) | 4 | Linear Algebra, Laplace Transforms, Inverse Laplace Transforms, Fourier Series, Fourier Transforms |
| 22BS2CHYCY | Engineering Chemistry | Basic Science Course (BSC) | 3 | Batteries & Fuel Cells, Corrosion & its Control, Engineering Materials, Polymer Chemistry, Nano Materials |
| 22ES2MIE | Material Science for Industrial Engineers | Engineering Science Course (ESC) | 3 | Crystal Structure, Mechanical Properties of Materials, Phase Diagrams, Heat Treatment of Metals, Ferrous & Non-ferrous Alloys, Non-metallic Materials |
| 22ES2BCE | Basic Civil Engineering | Engineering Science Course (ESC) | 3 | Introduction to Civil Engineering, Building Materials & Construction, Surveying Principles, Transportation Engineering basics, Environmental Engineering concepts |
| 22ES2EEE | Basic Electrical & Electronics Engineering | Engineering Science Course (ESC) | 3 | DC & AC Circuits, Single Phase & Three Phase AC Circuits, DC Machines, AC Machines, Semiconductor Diodes & Transistors |
| 22BS2CHYL | Engineering Chemistry Lab | Basic Science Course (BSC) | 1 | Volumetric Analysis, pH Metry & Conductometry, Potentiometry & Colorimetry, Determination of Viscosity, Surface Tension Measurement |
| 22ES2EEEL | Basic Electrical & Electronics Engineering Lab | Engineering Science Course (ESC) | 1 | Verification of circuit laws, Load tests on DC machines, Single phase transformer tests, Diode characteristics, Transistor amplifier characteristics |
| 22HS2ELC | English Language and Communication Skills | Humanities, Social Sciences & Management Course (HSMC) | 3 | Fundamentals of Communication, Listening & Speaking Skills, Reading Comprehension, Writing Professional Documents, Presentation Skills |
| 22AU2EVS | Environmental Studies | Mandatory Non-Credit Course | 0 | Ecosystems and Biodiversity, Natural Resources Management, Environmental Pollution & Control, Global Environmental Issues, Sustainable Development |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MAC301 | Engineering Mathematics-III | Basic Science Course (BSC) | 4 | Numerical Methods-I, Numerical Methods-II, Probability Distribution, Sampling Theory, Stochastic Processes |
| 22IEM301 | Manufacturing Processes | Professional Core Course (PCC) | 3 | Metal Casting Processes, Joining Processes (Welding), Sheet Metal Operations, Bulk Forming Processes, Powder Metallurgy & Plastics Manufacturing |
| 22IEM302 | Material Science & Metallurgy | Professional Core Course (PCC) | 3 | Crystal Structure & Imperfections, Mechanical Testing of Materials, Phase Diagrams & Transformations, Heat Treatment of Steels, Non-Ferrous Metals & Alloys |
| 22IEM303 | Machine Drawing | Professional Core Course (PCC) | 3 | Orthographic Projections, Sectional Views, Conventional Representations, Limits, Fits & Tolerances, Assembly Drawings |
| 22IEM304 | Principles of Electrical & Electronics Engineering | Engineering Science Course (ESC) | 3 | DC & AC Circuits Analysis, Transformers & Induction Motors, DC Motors & Generators, Semiconductor Diodes & Transistors, Operational Amplifiers |
| 22IEM3L1 | Manufacturing Processes Lab | Professional Core Course (PCC) | 1 | Foundry practice experiments, Welding process demonstrations, Lathe machining operations, Milling and drilling operations, Shaping and grinding operations |
| 22IEM3L2 | Material Testing Lab | Professional Core Course (PCC) | 1 | Tensile testing of materials, Hardness testing (Brinell, Rockwell), Impact testing (Charpy, Izod), Fatigue testing demonstration, Microstructure analysis |
| 22HS301 | Professional Communication & Ethics | Humanities, Social Sciences & Management Course (HSMC) | 2 | Principles of Effective Communication, Business Communication Strategies, Non-verbal Communication, Ethical Dilemmas in Engineering, Corporate Social Responsibility |
| 22AU301 | Universal Human Values | Universal Human Values (UHV) | 0 | Understanding Human Values, Harmony in the Family and Society, Harmony in Nature and Existence, Professional Ethics and Conduct, Holistic Development |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MAC401 | Engineering Mathematics-IV | Basic Science Course (BSC) | 4 | Complex Variables, Conformal Mapping, Transforms (Z-transforms), Statistical Inference, Design of Experiments |
| 22IEM401 | Mechanics of Materials | Professional Core Course (PCC) | 3 | Stress and Strain Analysis, Elastic Constants, Bending Moments and Shear Forces, Torsion of Circular Shafts, Deflection of Beams, Columns and Struts |
| 22IEM402 | Machine Tools and Metrology | Professional Core Course (PCC) | 3 | Lathe and Drilling Machines, Milling and Shaping Machines, Grinding and Super Finishing, Principles of Metrology, Limits, Fits & Tolerances, Gauges and CMM |
| 22IEM403 | Operations Research | Professional Core Course (PCC) | 3 | Linear Programming Problems (LPP), Simplex Method, Transportation Problem, Assignment Problem, Network Analysis (PERT/CPM), Queuing Theory |
| 22IEM404 | Probability and Statistics for Engineers | Professional Core Course (PCC) | 3 | Probability Theory, Random Variables and Distributions, Sampling Distributions, Hypothesis Testing, Correlation and Regression Analysis |
| 22IEM4L1 | Machine Tools Lab | Professional Core Course (PCC) | 1 | Experiments on Lathe operations, Milling machine operations, Shaping machine operations, Drilling machine operations, Tool geometry measurements |
| 22IEM4L2 | Metrology and Measurements Lab | Professional Core Course (PCC) | 1 | Measurement using vernier calipers, Measurement using micrometers, Use of slip gauges for measurement, Profile projector applications, Coordinate Measuring Machine (CMM) usage |
| 22HS401 | Research Methodology & Intellectual Property Rights | Humanities, Social Sciences & Management Course (HSMC) | 2 | Research Problem Formulation, Data Collection and Analysis, Research Design and Report Writing, Introduction to Intellectual Property Rights, Patents, Trademarks, and Copyrights |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IEM501 | Ergonomics and Human Factors in Engineering | Professional Core Course (PCC) | 3 | Introduction to Ergonomics, Anthropometry and Biomechanics, Workstation Design Principles, Human Machine Interface, Environmental Ergonomics, Occupational Health & Safety |
| 22IEM502 | Design of Machine Elements | Professional Core Course (PCC) | 3 | Design Considerations and Theories of Failure, Design of Welded and Riveted Joints, Design of Shafts, Keys, and Couplings, Design of Gears (Spur, Helical), Design of Bearings, Design of Springs |
| 22IEM503 | Data Analytics and Visualization | Professional Core Course (PCC) | 3 | Introduction to Data Analytics, Data Preprocessing and Cleaning, Exploratory Data Analysis, Statistical Inference and Modeling, Data Visualization Techniques, Introduction to Python/R for Data Analysis |
| 22IEM5L1 | CAM & Automation Lab | Professional Core Course (PCC) | 1 | CNC Milling Part Programming, CNC Turning Part Programming, Robot Programming Fundamentals, PLC Programming for Automation, CAD/CAM Software Interface |
| 22IEM5L2 | Data Analytics Lab | Professional Core Course (PCC) | 1 | Data Cleaning and Transformation, Statistical Analysis using Software, Data Visualization using Python/R, Regression and Classification Models, Introduction to Machine Learning Libraries |
| 22IEM511 | Product Design and Development | Professional Elective Course (PEC) - I | 3 | Product Life Cycle, Customer Needs Identification, Concept Generation and Selection, Industrial Design and Aesthetics, Design for Manufacturing and Assembly, Product Costing and Value Engineering |
| 22IEM512 | Total Quality Management | Professional Elective Course (PEC) - I | 3 | Quality Concepts and Definitions, Principles of TQM, Quality Gurus Contributions, ISO 9000 Standards, Statistical Process Control (SPC), Seven Quality Control Tools |
| 22IEM513 | Supply Chain Management | Professional Elective Course (PEC) - I | 3 | Introduction to Supply Chain Management, Logistics and Transportation, Inventory Management Strategies, Warehousing and Distribution, Supply Chain Integration and Coordination, Global Supply Chains |
| 22IEM514 | Renewable Energy Systems | Professional Elective Course (PEC) - I | 3 | Solar Energy Systems, Wind Energy Systems, Bioenergy Conversion Technologies, Geothermal Energy, Hydropower Systems, Energy Storage Technologies |
| 22IEM521 | Supply Chain Management | Open Elective Course (OEC) - I (Offered by IEM) | 3 | Overview of Supply Chain, Logistics and Network Design, Inventory Control Models, Transportation Management, Warehousing and Storage, Supply Chain Performance Measurement |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IEM601 | IE & QM Techniques | Professional Core Course (PCC) | 3 | Work Study and Method Study, Work Measurement and Time Study, Motion Economy Principles, Acceptance Sampling, Control Charts for Variables & Attributes, Quality Circles and TQM Tools |
| 22IEM602 | Facilities Design & Plant Layout | Professional Core Course (PCC) | 3 | Facilities Planning Process, Site Selection Factors, Types of Plant Layouts, Material Handling Systems, Location Decisions, Computerized Layout Planning |
| 22IEM603 | Production Planning and Control | Professional Core Course (PCC) | 3 | Forecasting Techniques, Aggregate Planning, Master Production Schedule (MPS), Material Requirements Planning (MRP), Inventory Control Models, Just-In-Time (JIT) Production |
| 22IEM6L1 | IE & Operations Research Lab | Professional Core Course (PCC) | 1 | Work Sampling Studies, Time Study Experiments, Motion Study and Ergonomics Analysis, Linear Programming Problems using Software, Network Analysis (PERT/CPM) Simulation |
| 22IEM6L2 | Simulation and Modelling Lab | Professional Core Course (PCC) | 1 | Introduction to Simulation Software, Simulation of Manufacturing Systems, Queuing System Simulation, Inventory System Simulation, Discrete Event Simulation Modeling |
| 22IEM6P1 | Industrial Project - I | Professional Core Course (PCC) | 2 | Project Identification and Scoping, Literature Survey and Problem Definition, Methodology Development, Data Collection Techniques, Preliminary Data Analysis, Project Report Writing |
| 22IEM611 | Advanced Operations Research | Professional Elective Course (PEC) - II | 3 | Dynamic Programming, Integer Programming, Non-Linear Programming, Game Theory Concepts, Goal Programming, Decision Theory |
| 22IEM612 | Lean Manufacturing | Professional Elective Course (PEC) - II | 3 | Lean Principles and Philosophy, Value Stream Mapping, 5S Methodology, Kaizen and Continuous Improvement, Kanban System, Poka-Yoke and Jidoka |
| 22IEM613 | Service Operations Management | Professional Elective Course (PEC) - II | 3 | Service Strategy and Design, Service Quality Management, Capacity Management in Services, Waiting Line Models for Services, Service Process Analysis, Revenue Management in Services |
| 22IEM614 | Logistics and Distribution Management | Professional Elective Course (PEC) - II | 3 | Logistics Concepts and Components, Transportation Modes and Management, Warehousing Strategies, Distribution Network Design, Reverse Logistics, Global Logistics |
| 22IEM621 | Facility Planning and Layout | Open Elective Course (OEC) - II (Offered by IEM) | 3 | Facilities Planning Fundamentals, Plant Location Selection, Layout Types and Principles, Material Handling System Design, Space Requirements and Area Allocation, Computerized Layout Tools |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IEM701 | Entrepreneurship and Management | Humanities, Social Sciences & Management Course (HSMC) | 3 | Concepts of Entrepreneurship, Business Plan Development, Market Analysis and Marketing Strategies, Financial Management for Startups, Legal Aspects of Business, Innovation and Creativity in Business |
| 22IEM702 | System Dynamics & Supply Chain Analytics | Professional Core Course (PCC) | 3 | Introduction to System Dynamics, Causal Loop Diagrams, Stock and Flow Diagrams, Simulation Modeling in SD, Supply Chain Network Analysis, Supply Chain Risk Management |
| 22IEM703 | Management Information Systems | Professional Core Course (PCC) | 3 | MIS Concepts and Architecture, Information Technology Infrastructure, Database Management Systems, E-commerce and Business Systems, Decision Support Systems, Enterprise Resource Planning (ERP) |
| 22IEM7P1 | Industrial Project - II | Professional Core Course (PCC) | 4 | Detailed Project Design, Implementation and Execution, Data Analysis and Interpretation, Results and Discussion, Report Writing and Documentation, Presentation and Viva-Voce |
| 22IEM7S1 | Internship | Professional Core Course (PCC) | 3 | Industrial Training Experience, Application of Engineering Principles, Problem Solving in Industry, Report Submission, Presentation of Internship Learnings |
| 22IEM711 | Enterprise Resource Planning (ERP) | Professional Elective Course (PEC) - III | 3 | Introduction to ERP Systems, ERP Modules and Components, ERP Implementation Challenges, ERP Vendors and Market, Supply Chain Integration with ERP, Customization and Maintenance of ERP |
| 22IEM712 | Advanced Manufacturing Processes | Professional Elective Course (PEC) - III | 3 | Non-Conventional Machining Processes, Additive Manufacturing (3D Printing), Micromachining Techniques, High Speed Machining, Surface Modification Technologies, Hybrid Manufacturing Processes |
| 22IEM713 | Financial Management for Engineers | Professional Elective Course (PEC) - III | 3 | Financial Statements Analysis, Ratio Analysis, Working Capital Management, Capital Budgeting Decisions, Cost of Capital, Risk and Return Analysis |
| 22IEM714 | Artificial Intelligence in Industrial Engineering | Professional Elective Course (PEC) - III | 3 | Introduction to Artificial Intelligence, Machine Learning Fundamentals, Deep Learning Concepts, Expert Systems in IE, Neural Networks Applications, AI for Optimization and Prediction |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IEM801 | World Class Manufacturing | Professional Core Course (PCC) | 3 | Principles of World Class Manufacturing, Just-In-Time (JIT) in WCM, Total Quality Management (TQM) in WCM, Total Productive Maintenance (TPM), Concurrent Engineering, Benchmarking and Lean Sigma |
| 22IEM802 | Engineering Economics and Financial Management | Professional Core Course (PCC) | 3 | Engineering Economic Decisions, Time Value of Money, Cost Concepts and Analysis, Depreciation and Taxes, Capital Budgeting Techniques, Project Evaluation and Selection |
| 22IEM8P2 | Major Project | Professional Core Course (PCC) | 5 | Comprehensive Project Execution, Advanced Data Analysis, Solution Development and Validation, Detailed Project Report Writing, Presentation of Results, Final Viva-Voce Examination |
| 22IEM811 | Maintenance Engineering | Professional Elective Course (PEC) - IV | 3 | Types of Maintenance Systems, Reliability and Maintainability, Failure Mode and Effects Analysis (FMEA), Total Productive Maintenance (TPM), Condition Monitoring Techniques, Spare Parts Management |
| 22IEM812 | Quality Control and Assurance | Professional Elective Course (PEC) - IV | 3 | Statistical Process Control (SPC) Tools, Acceptance Sampling Plans, Quality Audit and Certification, Six Sigma Methodology, Quality Management Systems, Process Capability Analysis |
| 22IEM813 | Industry 4.0 | Professional Elective Course (PEC) - IV | 3 | Introduction to Industry 4.0, Cyber-Physical Systems, Internet of Things (IoT) in Manufacturing, Big Data Analytics in Industry, Cloud Manufacturing and Digital Twin, Smart Factories and Automation |
| 22IEM814 | Business Analytics | Professional Elective Course (PEC) - IV | 3 | Foundations of Business Analytics, Descriptive Analytics, Predictive Analytics Techniques, Prescriptive Analytics and Optimization, Decision Analysis, Business Intelligence Tools |
