Learn · Manufacturing Systems Technology Part I
Lecture 53 of 77Week 09- Quality systems engineering
Module 53: Applications of quality loss function
Prof. Shantanu Bhattacharya · IIT Kanpur
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- Manufacturing Systems Technology Part I, IIT Kanpur (at NPTEL)
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All the lectures
- Module 01: Manufacturing Systems Approach
- Module 02: Historical Perspective of Design
- Module 03: Material Handling Systems
- Module 04: Introduction to Computer Aided Design
- Module 05: Introduction to Homogeneous Transformation
- Module 06: Homogeneous Transformation (2)
- Module 07: 3D Transformations
- Module 08: Introduction to Parametric and Non-parametric equations
- Module 09: Non-parametric representation of equation (Implicit case)
- Module 10: Introduction of Hermite cubic spline fit
- Module 11: Numerical examples of Cubic spline curves
- Module 12: Bezier curves
- Module 13: Bezier Curves (2)
- Module 14: Representation of surfaces
- Module 15: CAD/CAM data exchange
- Module 16: Introduction of Manufacturing Processes
- Module 17: Description of various Manufacturing Processes
- Module 18: Mathematical Modelling of Manufacturing Processes
- Module 19: Steps involved in developing a process plan
- Module 20: Worked out examples on designing of various machining operations
- Module 21: Process plan Development
- Module 22: Determining Machining conditions and Machining time
- Module 23: Machining cost evaluation
- Module 24: Estimation of tool life
- Module 25: Introduction of principles of Process planning approach
- Module 26: The Generative CAPP method
- Module 27: Knowledge based Process planning
- Module 28: Feature recognition in CAPP
- Module 29: Definition of Part features
- Module 30: Problem solving of Feature recognition system
- Module 31: Computer control of Manufacturing Systems
- Module 32: Introduction to Numerically controlled machines
- Module 33: Motion control of NC machines
- Module 34: Introduction to NC programming
- Module 35: Sequential format used in NC programming
- Module 36: Tab Sequential format in NC programming
- Module 37: Word address format used in NC programming
- Module 38: Preparatory Functions used in Numerical Control programming
- Module 39: G-codes, M-codes and Canned cycles
- Module 40: Motion commands in NC part programming
- Module 41: Problem Solving in NC part programming
- Module 42: Problem Solving of NC part programming - 2
- Module 43: Just in time Manufacturing Systems
- Module 44: Toyota Production System
- Module 45: Pull Systems
- Module 46: Kanban Systems
- Module 47: Deterministic models for Kanban
- Module 48: Probabilistic cost model for determining optimal number of Kanban
- Module 49: Introduction to quality engineering
- Module 50: Quality costs
- Module 51: Product design
- Module 52: Design of Experiments
- Module 53: Applications of quality loss function
- Module 54: Product selection strategies
- Module 55: Robust design Approaches
- Module 56: Taguchi's method
- Module 57: Failure mode and effects analysis
- Module 58: Problem Solving: Failure mode and effects analysis
- Module 59: Problem solving: Failure mode and effects analysis-2
- Module 60: Product quality improvement methods
- Module 61: Quality Tools
- Module 62: Quality Tools part- 2
- Module 63: Different types of Control charts
- Module 64: Mean, Variance and Standard deviation
- Module 65: X bar chart, R-chart
- Module 66: Plotting methods for control charts
- Module 67: Six Sigma
- Module 68: Six Sigma- Part- 2
- Module 69: Theory of probability
- Module 70: Determining the defective products using Probability
- Module 71: Sampling based on Permutations and Combinations
- Module 72: Bionomial distribution
- Module 73 & 74: Poisson distribution
- Module 75: Normal Distribution
- Module 76: Overview of control charts and different types of distribution
- Module 77: Fundamental of Robotics and its applications in Automated Systems
- Module 78: Joint configuration systems of Robot