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degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Science
STATISTICS AND INFORMATION TECHNOLOGIES
Course unit
STATISTICAL METHODS FOR QUALITY CONTROL
SSM0014095, A.A. 2015/16

Information concerning the students who enrolled in A.Y. 2013/14

Information on the course unit
Degree course First cycle degree in
STATISTICS AND INFORMATION TECHNOLOGIES
SS1451, Degree course structure A.Y. 2009/10, A.Y. 2015/16
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Degree course track PROFESSIONALIZZANTE [006PD]
Number of ECTS credits allocated 8.0
Type of assessment Mark
Course unit English denomination STATISTICAL METHODS FOR QUALITY CONTROL
Website of the academic structure http://www.stat.unipd.it/risorse/STI
Department of reference Department of Statistical Sciences
Mandatory attendance No
Language of instruction Italian
Branch PADOVA
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Lecturers
Teacher in charge GIOVANNA CAPIZZI SECS-S/01

Mutuated
Course unit code Course unit name Teacher in charge Degree course code
SSM0014095 STATISTICAL METHODS FOR QUALITY CONTROL GIOVANNA CAPIZZI SS1450
SSM0014095 STATISTICAL METHODS FOR QUALITY CONTROL GIOVANNA CAPIZZI SS1451

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Educational activities in elective or integrative disciplines SECS-S/01 Statistics 8.0

Course unit organization
Period First semester
Year 3rd Year
Teaching method frontal

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Laboratory 3.0 20 55.0 No turn
Lecture 5.0 36 89.0 No turn

Calendar
Start of activities 30/09/2015
End of activities 23/01/2016
Show course schedule 2015/16 Reg.2009 weekly timetable
2015/16 Reg.2009 single teaching timetable

Examination board
Board From To Members of the board
6 Commissione a.a. 2015/2016 01/10/2015 30/09/2020 CAPIZZI GIOVANNA (Presidente)
GRIGOLETTO MATTEO (Membro Effettivo)
MASAROTTO GUIDO (Membro Effettivo)
SCARPA BRUNO (Membro Effettivo)

Syllabus
Prerequisites: None
Target skills and knowledge: This course aims to present the main tools of statistical process control (SPC) and their use in several frameworks. At the end of the course, students will be able to establish the stability over time of the distribution of one and more quality characteristics. Then, they will be able to analyze the capability to produce units satisfying given specification limits.
Examination methods: Written examination. Multiple choice questions concerning the statistical analysis of real data. Reports and analysis are performed in the lab using the R software.
Assessment criteria: The evaluation of the preparation of students will be based on the understanding of the handled topics, the acquisition of concepts and skills to apply them.
Course unit contents: - The quality concept: definition and measures.
- Statistical Process Control (SPC): control charts for variables and attributes.
- Characterization of sources of process variability(common and assignable causes. Hierarchical sources of variation).
- Integration of SPC and Capability Analysis.
- Monitoring of the stability of process mean and variance.
- Phase I and Phase II control charts. Self-starting procedures.
- Shewhart control charts for variables and attributes.
- CUSUM and EWMA charts for variables and attributes.
- Efficiency measures of control schemes (exact and approximated control limits, Average Run Length). Exact computation and computation via simulation of the ARL profiles.
- Control charts for autocorrelated data.
- Measures of process capability(normal and non normal data, variables and attributed). Inference on the capability indices.
- Six-Sigma Theory (Motorola rules and k-sigma level).
- Basic elements of multivariate SPC.
Planned learning activities and teaching methods: Lectures.

Labs are the core of the course. Case studies are analyzed using the R language. Practical problems are discussed doing an accurate exploratory data analysis and applying the main tools of the statistical process control.
Additional notes about suggested reading: Slides of the lectures and written comments to the case studies, discussed during labs, will be available on the website.
Textbooks (and optional supplementary readings)
  • Montgomery D. C., Controllo statistico della qualità 2/ed.. --: McGraw-Hill., 2006. ISBN: 9788838662447 Cerca nel catalogo