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The manufacturing process contains steps where raw materials go through transformation until its final form. It begins with the product design and materials specification with applications of the statistical model to control the process.

You are encouraged in this Manufacturing Processes Diploma to learn how statistical modeling and control is important in the manufacturing process. This course will teach you the use of experimental design and response surface modeling important understand the process physics.

Assessment

This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.

Certification

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Course Credit: MIT

Course Curriculum

Module: 1
1: Introduction — Processes and Variation Framework 01:05:00
2: Semiconductor Process Variation 01:25:00
3: Mechanical Process Variation 01:27:00
4: Probability Models of Manufacturing Processes 01:23:00
5: Probability Models, Parameter Estimation, and Sampling 01:22:00
6: Sampling Distributions and Statistical Hypotheses 01:21:00
Module: 2
7: Shewhart SPC and Process Capability 01:21:00
8: Process Capability and Alternative SPC Methods 01:20:00
9: Advanced and Multivariate SPC 01:24:00
10: Yield Modeling 01:19:00
11: Introduction to Analysis of Variance 01:17:00
12: Full Factorial Models 01:16:00
Module: 3
13: Modeling Testing and Fractional Factorial Models 01:19:00
14: Aliasing and Higher Order Models 01:21:00
15: Response Surface Modeling and Process Optimization 01:22:00
16: Process Robustness 01:24:00
17: Nested Variance Components 01:18:00
18: Sequential Experimentation 01:34:00
Module: 4
19: Case Study 1: Tungsten CVD DOE/RSM 01:22:00
20: Case Study 2: Cycle to Cycle Control 01:23:00
21: Case Study 3: Spatial Modeling 01:53:00
22: Case Study 4: “Modeling the Embossing/Imprinting of Thermoplastic Layers.” 01:21:00
Assessment
Submit Your Assignment 00:00:00
Certification 00:00:00

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