Simulation and Quality control of processes
Objectives:
The purpose of this course is for the students to get to know and familiarize themselves with a number of special chapters of Applied Statistics, such as Simulation of Processes and Statistical Process Control. This will be achieved through the use of PCs and simple or advanced software (like Excel and Minitab/ Crystal Ball/SPSS respectively). The students are introduced to this wide research area partly through theory and partly through working on case studies, using PCs. Finally, their knowledge is broadened through analyzing applied case studies.
Skills:
To model and use adequately the relevant software for simple simulation and quality control applications.
Prerequisites:
- Good knowledge of basics in Statistics
- Good knowledge of basics in Excel
Content:
1. Introduction in Statistics: Discrete and Continuous distributions, Sampling distributions, Central limit theorem, Testing for goodness of fit..
2. Introductory elements of Excel, Crystal Ball
3. Simulation of production processes: Simulation sampling, Statistical analysis of simulation results. Case studies on problems of organization and operational research.
4. Introductory elements of MINITAB, SPSS
5. Acceptance Sampling for attributes and by variables, control charts for attributes or variables and design of a control chart.
Textbooks:
a) “Simulation Techniques – Theory and Applications” M. Roumeliotis – S. Souravlas and b) “Statistical Quality Control” G. Tagaras
Assessment:
60% for the final written exam and 40% for the (5-five) design projects.
