QUALITY CONTROL METHODS AND TOOLS FOR IMPROVEMENT OF EFFECTIVENESS OF MANUFACTURING PROCESSES

Abstract

The objective of this thesis is to uncover the usage of combining several modern methods for controlling and optimizing the manufacturing processes. The goal is to achieve manufacturing of high value-added products, monitor and control performance and the quality of the processes themselves in order to have fewer defects, to increase the non-defect production and improve the overall quality. Implementing innovative technologies into the manufacturing process and creating their mathematical model of effectiveness criteria of implementation allows evaluating the possible changes. Combining Lean Production, Six Sigma methodology and Fuzzy logic will give not only the broader view on all aspects, but also consider how to improve the manufacturing process and make it non defective, seamless and the most efficient. The first part of the thesis describes the current situation of the electronics market, clarifies and explains the basic terms of methods, how they can be combined and used in manufacturing processes in order to increase and control the quality. The second part of the thesis describes one of the manufacturing processes, i.e. Printed Circuit Board manufacturing, and development of the mathematical model and criteria for evaluation innovative technologies and their implementation into the manufacturing process. The third part of the thesis is focused on methodology for optimizing the printed circuit board assembly process by minimizing the duration of sub processes, which potentially will decrease the lead time of the whole assembly process itself. The fourth part of the thesis focuses on optimal strategy for implementing the innovative technologies into the manufacturing process as well as suggests the creation of policy manual of quality management system which will describe the interaction between individual processes within the organization.