Quality control - is one of the main functions in the quality control process. The value of monitoring is that it allows to detect errors in time, to correct them quickly with minimal losses.
Actually, Quality control is carried out by comparing planned quality indicator with actual quality indicator. Quality control lies in checking the quality by detecting deviations from the planned values.
In the case of such a deviation it is necessary to find the cause of its appearance, and after adjusting the process to verify again a compliance of adjusted quality indicators with planned quality indicators. Frequent deviation from established quality requirements are extremely varied and are due not to economic and technological nature, but to conditions of external nature: violation of the rules, developers and manufacturers of errors, violations of labor discipline, defective equipment. Therefore, it can be argued that the quality of products is in constant motion. Consequently, the quality defines as chronically unstable object and it needs to be controlled.
The scientific basis of modern technical control is a mathematical - statistical methods. Quality management can be achieved by two methods: by grading products and by increasing the accuracy of the process.
Japanese experts have collected seven methods from the whole set of methods. Their merit lies in the fact that they provided a simple, visual, visualization of these methods, making them actually effective quality control tools: Graph, Check Sheet, Pareto Chart, Cause & Effect, Scatter Diagram, Histogram, Control Chart.
These methods can be viewed as individual instruments, and as the system of methods. The sequence of application of the seven methods may be different, depending on the intended purpose. The famous Japanese Professor K. Ishikawa (1985) said: “Based on my own experience, I can say that 95% of the company's problems can be solved with the help of these seven methods." Therefore, statistical methods - is a tool that needs to be studied in order to implement quality management.
The Performance Prism is a measurement framework designed to assist performance measurement selection. It is the vital process of picking the right measures. The prism consists of five facets: Stakeholder Satisfaction, Strategies, the Processes facet, Capabilities facet, Stakeholder Contribution facet (Neely, Adams and Crowe, 2001). Main advantage of the method lies in the logical comparison of five components. The Performance Prism is complex and adaptive and it can help to achieve higher levels of detail.
Balanced Scorecard Models. Its essence lies in the development and implementation of the vision and strategy of the organization, forming the main objectives and a set of financial and non-financial indicators. Its implementation means that the objectives, targets and strategic actions assigned to a particular point of view (Kaplan, Norton, 1996). Balanced Scorecard Models help organizations to develop better performance measuring system (Schwartz, 2005).
Performance Prism and Balanced Scorecard Models are the measurement methods and they allow to visualize the main and important issues relating to financial and non-financial aspects of the organization. In this case they are directly linked with quality control of the organization. It can be said that they are the basis for the analysis of quality.
References
Kaoru Ishikawa, K. (1985). What Is Total Quality Control? The Japanese Way. Prentice-Hall
Kaplan, R. S. & Norton, D. P. (1996). The Balanced Scorecard: Translating Strategy into Action, Boston: Harvard Business School Press.
Neely, A., Adams, C., Crowe, P. (2001) The Performance Prism in Practice. Measuring Business Excellence, 5, 1368 - 3047
Schwartz, J. (2005). “The Balanced Scorecard Versus Total Quality Management: Which is Better for Your Organization?” Military Medicine, 170
