Università degli Studi di Napoli "Parthenope"

  1. Teaching
  2. STATISTICS AND INFORMATION TECHNOLOGY FOR BUSINESS, FINANCE AND INSURANCE
  3. STATISTICAL QUALITY CONTROL

Stampa

STATISTICAL QUALITY CONTROL

Teaching schedule

Academic year: 
2017/2018
Belonging course: 
Course of Bachelor's Degree Programme on STATISTICS AND INFORMATION TECHNOLOGY FOR BUSINESS, FINANCE AND INSURANCE
Disciplinary sector: 
ECONOMIC STATISTICS (SECS-S/03)
Language: 
Italian
Credits: 
6
Year of study: 
2
Teachers: 
PAGLIUCA MARGHERITA MARIA
Cycle: 
First Semester
Hours of front activity: 
48

Language

Italian

Course description

The course of STATISTICAL QUALITY CONTROL aims to explore the main statistical tools essential to the activities aimed at improving the quality of products and services. In particular, the student is able to: perform the statistical process control; carry out the analysis of the capacity of production processes; carry out sample control of the production.

Prerequisites

The students need to have basic knowledge in statistics. A genuine interest in data analysis is a plus!

Syllabus

The main topics discussed at the course are: the meaning of "quality" and "quality improvement"; statistical methods for the improvement of quality; statistical process control methods; statistics and sample distributions; statistical control of process; control charts for variables; control charts for attributes; analysis of the process capacity.
The teaching program can be divided into 4 blocks of lessons:
Block I (about 6 hours): the meaning of quality and quality improvement; dimensions of quality; quality engineering terminology; a brief history of quality control and improvement; management aspects of quality improvement; the link between quality and productivity; quality costs; implementing quality improvement.
Block II (about 10 hours of lessons): modeling process quality; describing variation; important discrete and continuous distributions; statistics and sampling distributions; point estimation of process parameters; statistical inference for a single sample; statistical inference for two samples; the analysis of variance.
Block III (about 26 hours of lessons): methods and philosophy of statistical process control; chance and assignable causes of quality variation; statistical basis of the control chart; control charts for variables: control charts for x and r; control charts for x and s; control charts for attributes: the control chart for fraction nonconforming; control charts for nonconformities (defects); choice between attributes and variables control charts; guidelines for implementing control charts.
Block IV (about 6 hours of lessons): process capability analysis using a histogram or a probability plot; process capability ratios; process capability analysis using a control chart and designed experiments.

Teaching Methods

The teaching activity is divided into 48 hours of lectures, during which examples are also offered on the topics covered. Students are also assigned additional exercises to perform at home, individually or in groups, which are then corrected and discussed during the lesson hours.

Textbooks

Montgomery D.C. 2009, Introduction to statistical quality control, John Wiley & Sons, Inc. (chapters 1, 3-8).

Learning assessment

The assessment is based on an oral examination. The vote of the examination is expressed in scale from 0 to 30. To pass the exam (a vote not lower than 18/30), the student must demonstrate at least a basic knowledge of the techniques illustrated during the course. To achieve the highest score (ie 30/30 or cum laude), the student must demonstrate an excellent knowledge of all the course contents as well as the ability to apply them to problem solving. The exhibition capacity and the degree of mastery of the vocabulary of the discipline also contribute to determining the final grade.

More information

Lectures are in Italian. The professor is fluent in English and is available to interact with students in English, also during the examination.

Mutuazioni