This book develops a set of dynamic approaches characterized by coordination for quality control in production-inventory systems. The author, David D. Yao, presents methodologies based on Markov decision programming to address quality control problems that do not exist in isolation. The book details how to improve the performance of industrial processes through scientific means of observation, testing, and inspection. It is intended for use as a graduate text or a reference for professionals in related fields.

The book is positioned as a graduate text for courses on statistical process control and a reference for professionals in mathematics, operations research, operations management, quality control, production planning, and logistics. Its focus on dynamic approaches and Markov decision programming suggests a rigorous, analytical treatment of quality control challenges in integrated production and inventory systems. The content is likely to appeal to academics and practitioners seeking advanced methodologies for optimizing industrial processes.