First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Science
STATISTICS FOR TECHNOLOGY AND SCIENCE
Course unit
STATISTICAL QUALITY CONTROL
SCP4063665, A.A. 2018/19

Information concerning the students who enrolled in A.Y. 2016/17

Information on the course unit
Degree course First cycle degree in
STATISTICS FOR TECHNOLOGY AND SCIENCE
SC2094, Degree course structure A.Y. 2014/15, A.Y. 2018/19
N0
bring this page
with you
Number of ECTS credits allocated 9.0
Type of assessment Mark
Course unit English denomination STATISTICAL QUALITY CONTROL
Website of the academic structure http://www.stat.unipd.it/studiare/ammissione-lauree-triennali
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
SCP4063665 STATISTICAL QUALITY CONTROL GIOVANNA CAPIZZI SC2095

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Educational activities in elective or integrative disciplines SECS-S/01 Statistics 9.0

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

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Laboratory 4.5 32 80.5 No turn
Lecture 4.5 32 80.5 No turn

Calendar
Start of activities 25/02/2019
End of activities 14/06/2019
Show course schedule 2019/20 Reg.2014 course timetable

Examination board
Board From To Members of the board
3 Commissione a.a.2018/19 01/10/2018 30/09/2019 MASAROTTO GUIDO (Presidente)
SALVAN ALESSANDRA (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: 1) Techniques for univariate statistical process control (products and services)
a) Sampling plans.
b) Elements of acceptance sampling;
c) Commom and special causes of variation.
2) Univariate parametric control charts.
a) Shewhart, CUSUM and EWMA control charts for variables and attributes;
b) Performance measures and optimal design of control charts(ARL, curve CO, FAP, exact and approximate computations);
c) Known and unknown process parameters (Phase I and Phase II methods);
d) Characterization of random and nonrandom patterns
3) Capability analysis.
a) Capability measures (estimation in the univariate case);
b) Six-sigma and Lean Quality Systems;
c) Capability versus Statistical Process Control.
4) Techninques for quality improvement.
a) Pareto's analysis, Failure Mode and Effective Analysis (FMEA) methods;
b) Inroduction to DOE and nested ANOVA to identify significative source of variation.
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
  • Qiu, Peihua., Introduction to statistical process control. --: CRC Press, 2013. Cerca nel catalogo

Innovative teaching methods: Teaching and learning strategies
  • Laboratory
  • Problem based learning
  • Case study
  • Interactive lecturing
  • Story telling
  • Problem solving

Innovative teaching methods: Software or applications used
  • Moodle (files, quizzes, workshops, ...)

Sustainable Development Goals (SDGs)
Good Health and Well-Being Quality Education Decent Work and Economic Growth Industry, Innovation and Infrastructure Responsible Consumption and Production Climate Action