CEI335 Smart Manufacturing Syllabus:
CEI335 Smart Manufacturing Syllabus – Anna University Regulation 2021
COURSE OBJECTIVES:
1. To introduce students to fundamentals of Manufacturing
2. To familiarize with selection of sensors for various application
3. To learn the basics of agent-based manufacturing
4. Understand Cyber physical systems
5. Provide brief understanding about industry 4.0 concepts in Manufacturing systems
UNIT I SENSORS IN SMART MANUFACTURING
Introduction – Role of sensors in manufacturing automation – operation principles of different sensors – electrical, optical, acoustic, pneumatic, magnetic, electro-optical and vision sensors. Condition monitoring of manufacturing systems – principles – sensors for monitoring force, vibration and noise, selection of sensors and monitoring techniques. Automatic identification techniques for shop floor control – optical character and machine vision sensors – smart / intelligent sensors – integrated sensors, Robot sensors, Micro sensors, Nano sensors.
UNIT II DATA ANALYTICS
Introduction to Data and Analytics in a Digital Context (Internet of Things), Product Data Management for Design and Manufacturing (PLM Tools), Typical data challenges (data quality, enrichment, integration of ERP & PLM data), Preparing data for analytics (techniques to improve data quality, integration – ETL) Advances in data visualization & related toolsStatistical Techniques for Analytics, Descriptive Statistics ,Inferential statistics, Regression and ANOVA
UNIT III CYBER PHYSICAL SYSTEMS
Concept of Cyber Physical Systems (CPS) and Cyber Physical Production System (CPPS), System Architecture for implementation of CPPS, Components for CPPS, Communication for CPPS.
UNIT IV E- MANUFACTURING
Introduction of Agent based manufacturing- agent based Manufacturing, Cloud Based Manufacturing Information technology-based Supply chain, Concept of agile manufacturing and E-manufacturing.
UNIT V INDUSTRY 4.0
Evaluation of industries, Introduction to Industry 4.0, Challenges in industry 4.0, Impact of Industry 4.0, Case studies on industry 4.0, Introduction to Internet of Things (IoT) and its applications, Smart supply chain and Case studies.
TOTAL : 45 PERIODS
SKILL DEVELOPMENT ACTIVITIES (Group Seminar/Mini Project/Assignment/Content Preparation / Quiz/ Surprise Test / Solving GATE questions/ etc)
1 Learn any one programming language (C/C++, Python, Java etc.)
2 Kinds of sensors for industrial robot applications.
3 Familiarization with relevant software tool (MATLAB) and programming language
4 Controlling Arduino Robot using Android Smartphone
5 Real time robotics projects (Soccer robots, line follower etc)
COURSE OUTCOMES:
Students able to
CO1 Appraise concepts and basic framework necessary for smart manufacturing
CO2 Discuss current trends at system level in manufacturing organizations
CO3 Selection of sensors for various applications
CO4 Dramatise IoT based manufacturing systems
CO5 Describe industry 4.0 concepts at manufacturing systems
TEXT BOOKS:
1. Bahga and V. Madisetti, Internet of Things, A hands-on approach, Create Space Independent Publishing Platform, 1st edition, 2014, ISBN: 978-0996025515
2. Bahga and V. Madisetti, Cloud Computing, A hands-on approach, Create Space Independent Publishing Platform, 1st edition, 2013, ISBN: 978-1494435141
3. M. Skilton and F. Hovsepian, The 4th Industrial Revolution: Responding to the Impact of Artificial Intelligence on Business, Springer Nature, 2017, ISBN: 978-3-319-62479-2
REFERENCES:
1. 1Gilchirst, Industry 4.0: The Industrial Internet of Things, Apress (Springer), 1st Edition, 2016, ISBN: 978-1-4842-2046-7
2. 2S. Jeschke, C. Brecher, H. Song, and D. B. Rawat, Industrial Internet of Things: Cyber manufacturing Systems, Springer, 1st edition, 2017, ISBN: 978-3319425580
3. 3T. Erl, Z. Mahmood, and R. Puttini, Cloud Computing: Concepts, Technology & Architecture, Prentice Hall, 1st edition, 2013, ISBN: 978-0133387520.
4. 4N. Viswanandham, Y. Narhari “Performance Modeling of Automated Manufacturing Systems” Prentice-Hall, 1st Edition, 1994, ISBN: 978-8120308701
5. 5S. K. Saha, Introduction to Robotics, Tata Mcgraw Hill Education Private Limited, 2nd Edition, ISBN: 978-9332902800
6. M. P. Grover “Automation, Production Systems and Computer-Integrated Manufacturing” Pearson Education, 4th Edition, 2016, ISBN: 978-0133499612
7. M. P. Groover, Mitchell Weis, Roger, N. Nagel, Nicholas and G. Odrey, Industrial Robotics Technology, Programming and Applications, McGraw Hill, 2nd Edition, 2017 ISBN: 978-1259006210