Quality control refers to putting in place in the manufacturing of final goods and services statistically with an aim of producing goods and services, which are not defective. Statistics on the other hand, refers to the collection, analyzing and interpretation of data in relation to decision-making. It therefore means that the two principles depend on each other. Business manager must therefore think and reason within the statistical parameters in order to improve on the overall quality management. The primary aim of this research paper is to provide a detailed description of the uses of statistics and quality control in business.
In competitive markets, business managers must design appropriate and competitive ways of manufacturing goods and providing relevant services. For this to succeed, they must employ statistical principles and experiments. Properly planned statistical analysis helps to remove obstacles to high quality and production at each production level-saving time and low financial burden to the business and produce healthy goods and services, through statistically designed experiments.
Some of the quality control management measures, which are crucial and significant in the efficient statistical evaluation includes, Bench marking and supplier collaboration. Benchmarking is the process of measuring products, services and practices in relation to most competitive companies. Supplier collaborating involves the manufacturers, work put directly in parts and components to progress supplier’s site. Finally, the continuous Improvement, which involves the improvement of a company’s resources.
Therefore, for a company to achieve it goals and objectives it must employ the principles of statistics and quality control in its operations.