| TNE030 |
Statistical Process Control and Experimental Design, 6 ECTS credits.
/Statistisk analys och planering av försök/
For:
ED
MES
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Prel. scheduled
hours: 42
Rec. self-study hours: 118
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Area of Education: Science
Subject area: Mathematics
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Advancement level
(G1, G2, A): A
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Aim:
This course teaches the fundamental concepts of statistical analysis and how they apply to experiments and process control.
- Explain why statistical process control is used in the industries.
- Show how to improve product quality by reducing variability in the process.
- Study various control charts for variables and attributes.
- Explain how to measure process capability.
- Study how to design and improve processes with designed experiments.
- Show how to use acceptance sampling techniques.
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Prerequisites: (valid for students admitted to programmes within which the course is offered)
Statistics and Probability
Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.
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Organisation:
Lectures, project
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Course contents:
- Statistical process control (SPC)
SPC is the quality assurance method employed in most modern manufacturing processes and is used exclusively by the semiconductor manufacturing industry. The method offers an organized and systematic manner for ensuring that a process is running within specification (under control - no unusual or special variations exist), even when the internal measures of that control are considerably noisy (there are "normal" variations). The idea is to make sure that processes are running as near as possible to capability i.e. producing the highest yield, based not only on the final measure (deliverable product) but also on "in-line" measurements (checks made during the manufacturing process) and individual tool monitors (tests). SPC as a strategy emphasizes systematic monitoring and continuous improvement.
- Design of experiments
Design of experiments means optimizing the time put into performing and analyzing experiments to ensure success. Factorial design is a technique for determining which of several variables affect a process and how important each is. T- and F- tests help determine the probability that a hypothesis is true, that is to say whether a change made during the experiment affected the process. Statistical design uses this same information to determine (before-hand) how many samples, paired or unpaired, must be made to achieve a required degree of certainty.
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Course literature:
Montgomery: Introduction to Statistical Quality Control, Fifth Edition (ISBN: 0-471-65631-3)
Montgomery: Design and Analysis of Experiments, Sixth Edition (ISBN: 0-471-48735-X)
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Examination: |
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Written examination
Project
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3 p
1 p
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4,5 ECTS
1,5 ECTS
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Course language is English.
Department offering the course: ITN.
Director of Studies: Amir Baranzahi
Examiner: Nathaniel Robinson
Link to the course homepage at the department
Course Syllabus in Swedish
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