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AKTU Smart Manufacturing for Industry 4.0 (BOE080) Syllabus PDF – B.Tech Open Elective

Smart Manufacturing for Industry 4.0 BOE080

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Official AKTU syllabus of Smart Manufacturing for Industry 4.0 (BOE080) for B.Tech Open Elective – 3 credits, L-T-P 3-0-0. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.

Syllabus — Smart Manufacturing for Industry 4.0

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BOE080 · 3 credits · L-T-P 3-0-0

Course Objective: The objective of this course is to introduce students to Industry 4.0 concepts for smart manufacturing, covering the use of hardware, communication protocols, and IoT layers. It also aims to explore cloud computing platforms and machine learning applications to optimize and enhance smart factory operations.

After completion of the course student will be able to:

COsCO StatementBL
CO1Introduce concept of Industry 4.0 for Smart Manufacturing.K2
CO2Understand use various hardware used in Smart Manufacturing.K2
CO3Understand need of various communication protocols. hardware and software, IoT Layers and their relative importance.K2
CO4Understand could-computing IoT platform for Smart Manufacturing.K2
CO5Understand machine learning to make smart factories.K2
UnitContentHours
IIndustry 4.0: Concept, Globalization and emerging issues, The Fourth Revolution, LEAN manufacturing, Smart and connected business perspectives, Smart factories.8
IIAutomation: Programable Logic Controller (PLC) and its Programming software, Communication of different devices with PLC, Sensor, Smart Sensor, HMI design, Cyber Physical System – key components, ISA-95 architecture, CPS-5C architecture, Concept of Digit Twin8
IIICommunication: Protocols-MQTT, OPC UA, EtherNet/IP, Profinet, EtherCAT, etc; MQTT- History, MQTT broker, Message types, Quality of Service (QoS), Application; OPC UA-History, Specification, Client, Server, Programming with -Free and open-source software, Propriety software; Augmented Reality8
IVIoT Platform: Data Modelling, IoT Platforms-Thing, basic functionalities, Abstract definition of Thing, Networks, etc; IoT Gateway, Machine Interfaces-Cloud-based Mosquitto brokers, Programming with – Free and open-source software, Propriety software8
VMachine Learning Foundation: Learning algorithms - Supervised, Unsupervised, Self learning, Feature learning, etc. Models Artificial Neural Networks, Decision trees, Regression analysis, Genetic algorithms, etc.; Programming with – Free and open-source software, Propriety software8

Text Books

  1. Christoph Jan Bartodziej, “The Concept Industry 4.0 – An Empirical Analysis of Technologies and Application in Production Logistics”, Spinger Gabler, 2015
  2. Alasdair Gilchrist, “Industry 4.0 – The Industrial Internet of Thigs”, Springer Link, 2016
  3. Daniel Minoli, “Building the Internet of Things with IPv6 and MIPv6: The Evolving World of M2M Communications”, ISBN: 978-1-118- 47347-4, Willy Publications.
  4. Michahelles, “Architecting the Internet of Things”, ISBN 978-3- 642- 19156-5 e-ISBN 978-3-642-19157-2, Springer.
  5. Hakima Chaouchi, “The Internet of Things Connecting Objects to the Web” ISBN : 978-1-84821-140-7, Willy Publications.
  6. Olivier Hersent, David Boswarthick, Omar Elloumi, “The Internet of Things: Key Applications and Protocols”, ISBN: 978-1-119-99435-0, 2nd Edition, Willy Publications
  7. W. Botton, “Programmable Logic Controllers”, Fourth Edition, Elsevier, 2006

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