R23
MECH · 4-1
✓ VERIFIED VS. PUBLISHED SYLLABUS 2026-07-12
Introduction to Smart Manufacturing
JNTUK R23 · MECH · semester 4-1 · syllabus
This JNTUK R23 open elective is listed for Mechanical Engineering (MECH). It is listed in semester 4-1. It carries 3 credits. The published coverage runs across 5 units, from Concepts Of Smart Manufacturing through Unit V.
Verified vs. published syllabus
Checked 12 Jul 2026
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Published evidence
✓ Verified
Checked 12 Jul 2026
Record 5 published units
Verification scope The course structure, credits, and unit-wise syllabus are sourced directly from JNTUK's official R23 Mechanical Engineering course structure and syllabus.
5 units, from Concepts Of Smart Manufacturing to Unit V. Tick off units as you cover them — your progress stays on this device.
Unit-wise syllabus
0 / 5 COVERED
UNIT 01 — Concepts Of Smart Manufacturing
Definition and key characteristics of smart manufacturing, Corporate adaptation processes, manufacturing challenges, challenges vs technologies, Stages in smart manufacturing. Minimizing Six big losses in manufacturing with Industry 4.0, and their benefits
UNIT 02 — Smart Machines And Smart Sensors
Concept and Functions of a Smart, Machine Salient features and Critical Subsystems of a Smart Machine, Smart sensors; smart sensors ecosystem, need, benefits and applications of sensors in industry, Sensing for Manufacturing Process in IIoT, Block Diagram of aIoT Sensing Device, Sensors in IIoT Applications, Smart Machine Interfaces
UNIT 03 — Architecture Of Cyber- Physical System (Cps)
Functions of CPS, 5C Architecture; Smart Connection Level, Data-to- Information Level, Cyber Level, Cognition Level, Configuration Level. Design of PHM based CPS systems. Comparison of today’s factory and Industry 4.0 factory by the implementation of 5C CPS architecture
UNIT 04 — Digital Twins
Introduction, applications of digital twins, impact zones of digital twins in manufacturing (factories/plants and OEMs), advantages of digital twins, basic steps of digital twin technology MACHINE LEARNING (ML) AND ARTIFICIAL INTELLIGENCE (AI) IN MANUFACTURING: Introduction, benefits and applicationsof ML in industries, common approaches of ML; supervised and unsupervised, semi- supervised and reinforced ML. PREDICTIVE MAINTENANCE: Introduction of predictive maintenance, difference between preventive and predictive maintenance, working and various components of predictive maintenance, benefits and tools of predictive maintenance. Common approaches to IoT predictive maintenance; Rule-based (condition monitoring) and AI (artificial intelligence) based predictive maintenance.
UNIT 05 — Unit V
IoT CONNECTIVITY FOR INDUSTRY 4.0: Industrial communication requirement and its infrastructure, an overview of different types of networks, mesh network in industrial IoT, IoT protocols and the internet, TCP/IP (transmission control protocol/internet protocol) model, IoT connectivity standards: common protocols, application layer protocols, internet/network layer protocols, physical layer IoT protocols, choosing the right IoT connectivity protocol