Description
Scitus Academics Statistical Methods For Quality Improvement by Jacek Fabian
Quality Control is very important for everywhere. Quality control includes service quality given to customer, company management leadership, commitment of management, continuous improvement, fast response, actions based on facts, employee participation and a quality driven culture. The main objectives of the quality control module are to control of material reception, internal rejections, clients, claims, providers and evaluations of the same corrective actions are related to their follow-up. These systems and methods guide all quality activities. The development and use of performance indicators is linked, directly or indirectly, to customer requirements and satisfaction, and to management. Statistical quality control refers to the use of statistical methods in the monitoring and maintaining of the quality of products and services.
Statistical methods for quality improvement deal numerous benefits for industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. It provides quality control and design of experiments at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for practicing statisticians, engineers, and physical scientists interested in statistical quality improvement.