Quality Planning and Control
The main purpose of Quality Planning and Control is to provide to students the ability to:
-Understand the role of Design of Experiments, Taguchi methods and Statistical Process Control (SPC) within a TQM environment;
-Recognise when experimental design techniques should be applied;
-Plan and carry out full and fractional factorial designs and analyse the experimental results;
-Use the Taguchi methods for experimental design and compare them to traditional methods;
-Find the best parameters combination for reducing process variability;
-Recognise the importance SPC might have in product and process improvement;
-Apply the methodology for implementing statistical control charts;
-Study the process capability.
-Implement the 6-Sigma methodology and use Design of Experiments and SPC within the 6-Sigma approach.
Simultaneously, through the teaching and learning practices, the students will develop their skills in problem solving, team working, critical thinking and communication.
Ana Sofia Leonardo Vilela de Matos
Weekly - 4
Total - 64
-Montgomery, D. C. (2001), Introduction to Statistical Quality Control, 4.ª ed., John Wiley & Sons, New York-
Montgomery, D. C. (2001), Design and Analysis of Experiments, 5.ª ed., John Wiley & Sons, New York
-Peace, G. S., (1993), Taguchi Methods: A Hands-On Approach to Quality Engineering, Addison-Wesley Publishing Company, New York.
-Pereira, Z.L. e Requeijo, J.G. (2012), Qualidade: Planeamento e Controlo Estatístico de Processos,2ª Edição, FFCT-UNL, Lisboa
-Pyzdek, T. (1999), Quality Engineering Handbook, Marcel Dekker, New York
-Ryan, T. P. (2000), Statistical Methods for Quality Improvement, 2.ª ed., John Wiley & Sons, New York
-Taguchi, G. (1986), Introduction to Quality Engineering, UNIPUB, White Plains, New York.
The evaluation consists of three moments, two individual tests and one group work. Individual tests represent 40% and 30%, respectively for the 1st and 2nd tests. Group work has a weight of 30%. To have attendance|, the grade of the group work must be greater than or equal to 9.5 values. For dispensation in continuous evaluation, the average power in both tests must be greater than or equal to 9.5 values.
2.Statistics in quality modelling
3.Design of Experiments (DoE)
-DoE of 1 and 2 factors with many levels
-Full Factorial Design
-Two-level Factorial Designs
-Two-level Fractional Factorial Designs
-Three-level Factorial Design
4.Statistical Process Control
-Causes of variation
-Traditional Control Charts for Variables
- Control Charts for Attributes
Programs where the course is taught: