Spring 2025
CH-240-B Basics of Manufacturing Technology (B.Sc.) Introduction
1.
Engineering Drawing
Isometric Drawing
Orthographic or Multiview Drawings
Dimensioning
Sectioning
Drawing Tools
Assembly Drawings
Where to Put Dimensions
Session Sectioning, EXCE
2.
BOM, OPC, P&ID
Raw materials
Sub-assemblies
Intermediate assemblies
Sub-components, Parts
Value-adding activities
Piping and process equipment
Session BOM/OPC
3.
Production Technologies
Casting, Welding
Machining, Grinding
Spark
3D Printing
Session Production technologies
4.
Facility Planning & Layout
Job shop
Cellular manufacturing/Group Technology
Production Line
AS/RS
Session Facility Planning & Layout
5.
Time & Motion Study
MTM
Basic Most
Humman-Machine Chart
Stop watch
Session Time & Motion Study
CA-IEM-802 Advanced Product Design (B.Sc.) Introduction
1.
Axiomatic Design
Product and Manufacturing System Complexity management
**First Axiom
**Second Axiom
Session PLM
Session Axiomatic Design -intro
Session Axiomatic Design -First Axiom
Session Axiomatic Design -ZigZag
Session Axiomatic Design-2nd Axiom
2.
Product Requirement Management
QFD
Session QFD
FMEA
Session FMEA
3.
Advanced CAD
CAD Geometric Models
**Geometry Interpretation
**B-rep, CSG, Voxel, ….
**Feature Recognition
Session Advanced CAD
4.
DFx
Design for maintenance
Design for assembly and disassembly
Design for people: ergonomics, reparability, safety, and product liability
Session DFx Session
CA-IEM-801-A Industry 4.0 Technologies (B.Sc.) Introduction
1.
Digital Transformation
Introduction to industry 4.0
Session DTM
2.
Digital Twins
Apply social media analytics techniques for consumer expectation insights.
Use NLP methods to build a “consumer digital twin”
3.
Internet of Things (IoT)
Implement machine learning models for operational parameter predictions.
Integrate IoT devices for data collection and operational planning
Session
4.
Machine learning and Big Data
Employ condition-based monitoring strategies and failure prediction models.
Use Python to implement predictive maintenance algorithms
Session
5.
Real-time traceability and tracking
Understand the concept of digital product passports.
Implement basic blockchain solutions for traceability and product life cycle management.
Session
6.
Machine learning and digital marketing
Explain extended producer responsibility (EPR) and circularity concepts.
Integrate consumer engagement analytics (social media, influencer marketing) via ML.
Session